Axon Redaction

📊 Major Holdings: \#NVDA — 28.57% \#META — 19.61% \#UBER — 10.06% \#TSM — 8.10% \#MSFT — 7.69% \#AMZN — 7.64% \#CRWV — 6.12% \#SNOW — 5.10% \#ARM — 4.55% \#AXON — 1.11% \#HOOD — 1.09% \#AVGO — 0.36% Notably, the high proportion of AI and technology-related companies in this portfolio suggests that long-term growth opportunities may be attracting investor attention. This article is for informational and educational purposes only and reflects publicly available portfolio data. Always conduct your own research before making any investment decisions. You can also follow me for more information.

Last Tuesday city council passed more police surveillance through the use of expanding flock cameras, body cameras, etc. through a contract with Axion that supports their "real time intelligence center" Please push back on this decision, it was passed by every council person except Kim Roney. If you live in Asheville proper and vote for city council: [email protected] - this goes to all city council members. If you are NOT in Avl proper, you can still contact other representatives, such as county commissioners: https://www.buncombenc.gov/705/County-Commissioners - example: Drew Ball is running for City Council. Where does he stand on this?? You can send something such as: Dear City Council and/or County Commissioners, I am shocked and dismayed at the nearly unanimous vote to pass more surveillance in Asheville at Tuesday's City Council meeting. Surveillance across political lines is not favorable and I am failing to see how our local representatives are doing anything to protect our community members from government overreach. No public input was taken into account and dozens of organizations have publicly denounced what was passed. This very much will influence who I vote for in upcoming elections and almost all of you have lost my vote and confidence. If there is anything you can do to reverse this vote, I encourage you to do so. Many of us who you allegedly represent are extremely upset by this action. \[Asheville / Buncombe County Member\] You can also sign this petition that consolidated all those again this: [https://www.change.org/p/reverse-asheville-city-council-s-decision-on-axon-s-surveillance-tech](https://www.change.org/p/reverse-asheville-city-council-s-decision-on-axon-s-surveillance-tech) Last Plug - Kim Roney is running for Mayor and was the only council member to vote No. Her campaign needs help. You can sign up for volunteer through her website.

Really glad folks are enjoying the Pod! It’s been a blast for us to build it out together…. And we have a few more tricks up our sleeves for upcoming episodes. And will have Josh back on again too. For Axon, my biggest takeaway or realization from chatting with Josh is just how many avenues Axon has for durable growth for years to come. While admittedly not fully apples-to-apples, some great and recent investments have been in companies with exploding triple digit growth AI-infrastructure segments. And those stocks have appreciated greatly. Axon has 3 different segments (internat’l, enterprise, dedrone) that grew between 100% and 500%. Again, not exactly the same… but massive growth in multiple segments hitting at the same time.

I am a 911 dispatcher who is not happy with the use of flock conceptually. The AI tools have been helpful though. You never hear about the tools being used to search the last 8 hours of intersection traffic cameras to find the missing critical alzheimers patient who was wearing a specifc color jacket that day. The amount of stolen cars and license plates being recovered is also increasing through this. Stolen plates tend to be on stolen cars filled with people going to break into other cars. We unfortunately deal with it constantly from a large city in the next county we border. I understand the privacy concerns. The system knows every time it saw your license plate and where. The police can recreate your path through town absolutely. Every single click you make in Axon/Fusus is logged and tagged to your user account and it will be reviewed higher up with audits from the company as well which helps with finding abuse of the system but the concerns remain valid.

Just want to share [this podcast](https://x.com/investing_bear/status/2056466495757009315) my buddy [https://x.com/drowsyinvestor](https://x.com/drowsyinvestor) and I recorded today with the PRESIDENT OF AXON. It was a little surreal, we were a little nervous, but we are really proud of the conversation that came out of it. I really got a better idea how they think about the things they want to invest in and the lines of business they want to get into. Hope everyone here will enjoy the conversation! Bear

Almost every "quote" they pull is inaccurate. This one doesn't even exist in the article they link: >"Mantello has called opposition an effort to “defund our police department,” and vowed to show data supporting its use at the next council meeting Tuesday." (I would love to see that data btw) I wonder if that has something to do with Syracuse's own debacle with Flock and Axon. They traded one mass surveillance company for another and got burned twice with both companies now operating in the city. That's why Local Law #3 is so important. If we get rid of Flock only for another predatory ALPR company to swoop in with no guardrails, we will have won nothing.

Oh they definitely have them. They're extremely intrusive. Pomona Police Department’s Real Time Information Center (RTIC).The system operates in the following ways:Central Hub: The cameras feed live video, license plate data, and vehicle characteristics directly into the police department's central RTIC hub.Axon Fusus Integration: The police use the Axon Fusus network. This allows them to integrate their own automated license plate readers (like Flock Safety cameras) with live feeds from registered private homes and business security cameras.Traffic Management: Aside from police and security use, some visible AI-enabled cameras along heavily trafficked corridors (like Mission Boulevard and Towne Avenue) are connected to the city's emerging transportation and traffic management systems.Residents and businesses can control how and when their private cameras are connected and shared with the police department through the Pomona Safe Communities initiative. I live in district 5 one of the constituents facts flock and wants the community of district 5 to connect the ring cameras to the Pomona PD. It's a freaking surveillance state.

The Axon drones, produced by Skydio, already have thermal imaging, capable of seeing people in complete darkness, and cameras that can read license plates from 800 feet away. If you combine that with Ouster LiDAR hooked up to Ouster Bluecity, effectively giving the drone wall hacks, criminals are in for a real treat. It will be damn near impossible to ever get away, because the LiDAR will see you at all times.

The president made purchases ranging from $1 million to $5 million in tech giants such as Oracle, Microsoft, Nvidia, Meta, Amazon, Apple and Alphabet-all of which have inked government contracts or made high-profile commitments - according to financial disclosure forms. Mangoa other large tech investments ranging between $1 million and $5 million included software company ServiceNow, semiconductor manufacturer Broadcom, software company Cadence Design Systems, Adobe, Motorola, Dell and Uber. Defense companies including Palantir, Axon, Boeing, Lockheed Martin and Northrop Grumman were also listed in the disclosure, with Boeing receiving investments between $1 million and $5 million, in addition to two investments from the president ranging from $15,000 to $50,000. Mango also purchased millions of dollars worth of securities in Comcast, Costco and manufacturing companies like Procter & Gamble and Jabil Inc.

Same goes at the business I manage. $50-80 in liquor stolen almost daily by crackheads. Police don't take shoplifting calls via 000, basically they won't do anything and they'll say call your local PD. So you call them and go through every menu number realising none are set up for shoplifting. So you stay on hold. 10+ minutes later someone sheepishly might answer, and they'll disinterestedly take down details. You might get an Axon request for evidence share, you make a moco receipt, add footage & then usually nothing happens of course. Even if you have 10 receipts, 10 sets of footage. You'll never hear they got someone. Lo - behold the crackhead is back next month or week to do more. I once physically overpowered one & threw them out, & locked the doors. For my trouble I got an old fogie telling me he was going to report me to the police & when they arrive I better get ready to be charged with assault when he gives his statement. Another guy who works for my bosses other business got stabbed 4 times and sent to ICU for trying to stop a shoplifter. Just not worth it. Not my money being lost. All we can do is say, "HEY, are you going to pay for that or what?". & Even then it might make them ark up. A colleague of mine got punched in the face & copper more roughhousing from 2 eshays shoplifting when he spoke up. So we've just told staff to silently note the details & we may end up just not doing anything as cops don't give a shit. Obviously, it's a low level offense and the police prioritize a lot more things over it. We tried to have photos of shoplifters on the window, to shame them, but one of them tried smashing the window to remove his photo, so we took them down lest we incur more costs.

You do realize that ai is rendering search engines useless, that ai is being used to choose targets for the military like the strike that killed 180 primary school children in Tehran? You do realize flock ai cameras are being used for facial recognition? That the gunshot sensors are now being used to surveil audio? That Axon ai is being used to dispatch 911 calls? Do you think maybe we're already trusting it too much?

It’s not the software that’s the hurdle, it’s the logistics. You need FAA waivers/approval for remote flight and still need Part 107 pilot oversight. Law enforcement agencies use a similar setup to respond to calls but there is a remote pilot in command. You want fully remote unattended flight which to my knowledge has not been approved at any scale you would be doing. You aren’t Amazon or Walmart. They being said talk to Brinc, Nightingale Axon. They are big in the UAS space for remote flight operations.

I think this could effect you situationally. Let’s say you’re talking with a suspect and then they flee on foot. How do you think you’d do? As a cop you need to know where you are (preferably) at all times. So if someone flees, generally you call out over radio, the sex, race, direction of travel, and clothing description (black shorts, yellow shirt). If you can get that out at least it will help. Now with almost every agency having body cams, you can review the video via cellphone or squad computer. With Axon at least. So in situations that happen quick where it’s hard to remember descriptions you can sometimes review.

You should really look into the capabilities of AI enabled cameras. The way the city’s charter and code are currently written, a software update can be purchased applied without council oversight or a public hearing. That fact alone doesn't even address the fact that once the data is outside of city control, into the hands of a 3rd party vendor, there is little that can be done to halt the flow of that data to other entities. The Verra Mobility contracts that these cameras operate under look fairly good when compared to the Flock or Axon contracts. There is always room for improvement to protect the data of Bend citizens from falling into the wrong hands. Namely end to end encryption where the city manages the keys. Anyone here who wants to learn more about the state of surveillance in Bend can reach out to me in DMs. I have been reading the contracts, addnda, user manuals, and patents for about 6 months now. I even publish a weekly newsletter that is designed for Bemd Councilors and State Legislators in attempt to educate them about the data security and privacy risks of these systems.

I’m trying to better understand peoples opinion on how different forms of ALPR’s become a privacy violations or if all forms are privacy violations. Currently it seems that a large majority hate stationary ALPR’s such as FLOCK, but did not car about Axon’s mobile ALPR’s that are standard in most dash-cam devices used by agencies across the country. If you dislike FLOCK would be okay with highway patrol or local agencies leaving a stationary unit on major highways who utilize the mobile ALPR’s in their vehicles to watch for stolen vehicles or felony warrant hits? Do you dislike ALPR’s in general and think all license plates should be entered into the DMV manually by an officer without the assistance of technology? My personal opinion is that stationary ALPR’s should be allowed however they shouldn’t log every single license plate or at minimum they shouldn’t be kept for an extended period of time. How ling that is should be decided by a court but there shouldn’t be a database of every single car that is kept forever. Now if a car gets a flagged as reported stolen or the driver has a felony warrant, then that should be allowed to be logged so LE can do what we pay them to do and catch a criminal. Im curious what y’all think seeing how if this issue isn’t decided by the supreme court, it’ll likely be left up to the individual state legislature.

Need help deciding between 2 different offers. Still early in career at <2 YOE so focus is long-term development/resume building. More money offered in Seattle and COL is about the same. Work at Qualcomm would be in Software Test versus work at Axon would be focused on Design. Which is the right choice here? Feel Qualcomm is more prestigious but Seattle might have more to offer in future job market. Axon (Seattle) 135k base 21.5k RSU 13.5k bonus 10k sign on Hybrid 4 Days in Office Qualcomm (San Diego) 121k Base 25k RSU 10k bonus 40k sign on 5 Days On-site 

How do you know? WHOIS has the domain owner redacted. I 100% believe axon is behind this just wondering how you figured that out. Edit: the address registered to the domain appears to be a townhouse-style office in Old Town, home to two small law firms and TelAtlantic Communications, a holding company for small rural telephone companies. 604 Cameron St Alexandria VA 22314 Whatever else it may be, it is certainly not a police station or even in Fairfax County

And in this case, Axon is happy to sell a “core” bundle to connect their cameras to anyone stupid enough to fall for this nonsense. Naturally, this comes with a subscription for the 1st year (as it should with this pricing) and will cost $150 per year after that. In other words, please pay a premium to allow you to assist the police in making their jobs easier when they need your security camera footage. Smh

"Trust me bro" is the opposite of everything that should be happening with our personal information. Again, I work in financial technology, if I ever said that to a client, I'd be laughed right out of a job. Especially if I have had massive concerns with data privacy and responsible data usage in the past (\*cough Citibank\*). In 2019, Axon said ["oh we won't put facial recognition in their body cameras"](https://www.npr.org/2019/06/27/736644485/major-police-body-camera-manufacturer-rejects-facial-recognition-software), heeding the warning of their ethics board. In 2022, [their entire ethics board resigned at the same time](https://www.policingproject.org/axon-ethics-board-members-resign-over-companys-plan-to-build-taser-equipped-drones) after the board & the executives disagreed how their plans would "escalate the use of force by police, and disproportionately harm overpoliced communities and communities of color". If that's not like, enormous warning signs about the ethics of an organization and their ability to be trusted, I don't know what is. How can you write a contract with a company like that to trust them with your data? It's maddening.

Here: [https://www.youtube.com/live/AfdrH-a92As?si=7cwD0IaPTPIVcu9d](https://www.youtube.com/live/AfdrH-a92As?si=7cwD0IaPTPIVcu9d), skip to about 4.5 hrs in: TL:DR: * Community members have not seen the proposed contract so everyone is operating in the dark. * Interim police chief Jackie Stepp outlined the 7.5 year agreement, which will consolidate all of the technology and systems into a bundled package * Much more policing and surveillance of poor and black & brown bodies * Interim police chief uses a lot of "trust me bro" language as opposed to to citing actual laws where our data will be protected * Bo Hess wants to change the name of RTIC to a more palatable description of what this surveillance system does. * Jeff Jackson wrote a letter pretty much in favor of this that was read by the mayor * Arizona, Alabama, Texas, Bakersfield - quoting from deep red areas on how RTICs help police individuals. * Esther manheimer was clearly over it and said "I go to bed at like 9:30" like she just wanted to get tf out of there * Sara Kent around the 5:22 mark and others spoke against it - she talks about how Axon (software collecting surveillance) has access and will keep a lot of the meta data. No one who spoke was in favor of this program. * Let only a handful of concerned citizens speak who had waited 5-6 hrs to comment * No alternatives mentioned such as community-led alternatives for decreasing violence and crime Please note - I spoke to Jackie 1:1 about police response to ICE and got an extremely lackluster response. She also referenced the BLM protests as riots.

CPD uses Skydio and Axon. Axon and Skydio both integrate with Flock and Palantir etc. Both Axon and Skydio are able to utilize or be equipped for biometric/non biometric recognition surveillance. I am not sure which Axon drones they use, but they definitely use Axon for data processing/secure storage They at least have a Skydio x10, and the Skydio x10d is common in military, ICE also uses them. SPECIFICALLY because of its onboard ai biometric recognition capabilities in order to identify specific individuals.

Regarding the logs, yes they do log searches/hits. For flock, they have a drop down menu where you select a category the reason for search, and a note field too to type in more specifically Which is obviously not particularly difficult to obfuscate. There have been at least 16 documented cases where officers across the country have Flock to spy on their exes, even though "stalking" probably isn't listed as an option. Also been used for immigration enforcement but selecting different reasons. But the Flock rep told city council last month that it couldn't be used for immigration because in Asheville they disabled immigration from our search categories. APD doesn't publish any stats about the reasons for search on their Flock Transparency page, but they also have Axon automatic license plate readers (ALPRs) and they do publish stats on the reasons given for plates on a hotlist (sends an alert when a plate is seen). According to their Axon ALPR transparency page, "Unknown Category" accounts for 29% of all hotlist hits, the second highest category. https://preview.redd.it/1pa2wsvfm61h1.jpeg?width=1080&format=pjpg&auto=webp&s=a57cd0b7960e66c651a9240917649c27ded849f3

The Axon software they are contracting with is indeed capable of facial recognition. They added a section to the resolution to purchase it that says "The City shall not apply these public safety tools in a manner which utilizes facial recognition" So basicly, they say that they aren't going to use it, but the software has that ability. That same section goes on: "nor to target any individual or group based upon race, skin color, national or ethnic origin, gender, sexual orientation, mental or physical disability, religious or political opinion or activity, immigration status, whether they are currently experiencing homelessness, or any other unauthorized reason." ...and we won't use it to do discrimination. At this point I think we're all well aware that racially biased policing is a huge issue in this country, how are you supposed to prevent that here? Are you expecting them to type in "I was doing a racism" in their reports and logs? How is that enforceable? "The City Manager shall take all reasonable and prudent measures to implement these policies and ensure compliance therewith, and a report shall be provided to the City Council, at least annually, on the use of these public safety technologies and any actions taken to ensure alignment with the Council direction outlined in this resolution." Got it, the unelected city manager will make up what the policies are and if there's any problems will let city council know a year later. Along with a report written by... Somebody? Their oversight and transparency is like a kid promising to be good while their parents are out of town. I also just want to note here that Asheville's citizen Police Advisory Committee was disbanded in 2020 after meeting only 5 times.

Thanks for spreading the info! I think it's really important for people to understand the different players and the different tech involved and a lot of people who are just learning about this are likely not totally clear on the specifics. Which does show that the city did not make much of an attempt to dialogue with the public. While I think continuing to educate folks about that is important, most all of the public commentors before council on Tuesday (and at the previous meeting it got yoinked from) made it abundantly clear in their comments that they were aware of the differences between Axon and Flock, and extremely clear that they understood what the proposed RTIC was, why it was a difference in kind from the existing cameras. They still ignored it and tried to play it off as a lack of information and "they're mad about flock, this is a different company". Which like... Yes, so why did you allow a Flock sales rep to speak at a policy committee meeting about the Axon contract? It's frustrating to hear them say that people who don't want this are just ignorant, particularly when some of the questions and statements council made at the committee meeting show that they lack any real understanding of what the tech is and does.

Nope, I'm a huge proponent of BWC and was since day 1. **From your own link:** >We find that BWC-wearing officers generated significantly fewer complaints and use of force reports relative to control officers without cameras. BWC wearing officers also made more arrests and issued more citations than their non BWC-wearing controls. In addition, our cost-benefit analysis revealed that savings from reduced complaints against officers, and the reduced time required to resolve such complaints, resulted in substantial cost savings for the police department. Considering that LVMPD had already introduced reforms regarding use of force through a Collaborative Reform Initiative prior to implementing body worn cameras, these findings suggest that body worn cameras can have compelling effects without increasing costs. That **does not say** they reduced corruption or excessive force, and it is **dishonest** to describe it that way. In fact the *much* more likely explanation - and the explanation in line with other studies across the country - is that the reduced complaints and better outcomes of those complaints is because the BWC provide evidence that *exonerate the officers.* Which is *why* I'm a big proponent of BWC, *governed by reasonable policy.* You (dishonestly) posit a problem that *does not exist* and focus on punitive measures because that inflates your own desired worth and position. The 2005 BWC pilot was **in the UK**. So, sure, mea culpa I should have articulated "in the US" with what I said, but of course, the US is what we're talking about. I can't actually find the 2008 pilot now, the only pilots in the US that axon mentions are the 3 agencies that did a 2012 pilot. All of which is to say: your choice of framing was dishonest. You inflated the length of your career by saying you "retired" without clarifying that it was a medical retirement after 12 years. You still have no answer other than empty handwaving at magical AI - and even if the magical AI popped into existence that still wouldn't address the need for some kind of respect for the basic dignity of the cops, or the need to attract people to a profession where they apparently need to be subjected to permanent hostile surveillance and constantly threatened. The reform industry in the US has *directly caused* thousands of fatalities in the US, starting small after Michael Brown and then absolutely blowing up in 2020, and people like you aren't helping. Police officers are fallible human beings, neither saints nor demons. Policy should be reasonable and fairly enforced. And *medically retired* would-be grifters who lie about the facts to puff themselves up have no place in the profession's future.

* Cut military budget in half: $425B * Cut federal law enforcement in half: $25B * Cut no-bid contracts with Axon: Needs investigation, possibly hundreds of millions of dollars * Direct fossil fuel subsidies: $29B * Indirect health costs saved by phasing out fossil fuels: Conservatively, hundreds of billions * Half of highway funding: Approx $100B. Indirect costs of building and using more efficient transportation methods including reduction of fossil fuel cost and associated health costs, reduction of health and environmental costs of microplastic emission, reduction of health and environmental costs of noise emission, conservatively $100B * Single-payer healthcare: Conservatively, $300B/year. Many estimates are far higher. * Federal student loan servicing costs are shrouded in mystery, but seem to be about $1B/year So there's over $1T/year based on conservative estimates from most of my list. And you right wingers applauded the paltry $50B saved by suddenly cutting foreign aid to hundreds of millions of people lmao

I think the confusion around Flock vs. Axon is exactly why local media should cover this more clearly. From what I understand, the recent vote was not simply “adding Flock cameras.” It was about accepting grant funding tied to RTIC technology, with Axon/Fusus being a major part of the discussion. That does not mean people should stop asking hard questions. They absolutely should. But the questions should be aimed at the actual system, the actual contract, and the actual limits on access and use. AVL Today may not be an investigative outlet, but this is the kind of issue where the public really needs plain-language reporting. What was approved? What was not approved? What technology is involved? Who can access it? What still comes back to council? Those answers matter more than slogans.

>Can you provide me w a quick reference for the difference between flock and Axon? Your opinion is also a reference in my book I am not an expert here, but the problem with both systems is the automation. There are already cameras everywhere. What happens with these brands is that the data the cameras record is indexed (using AI) and shared with LEO agencies up and down the chain. The municipality/end user/customer does not own the data, doesn't control the data, and cannot prevent its unauthorized distribution. Further, the data-mining capabilities here are EXTREMELY powerful. The term to google is Automated License Plate Readers. The end result is that bad actors (ICE/DHS, other state govs trying to prosecute abortion show trials, bad cops stalking their exes) can see where an individual is pretty much in real time. And it doesn't stop with license plates. Flock/Axon/Bo Hess give lots of assurances that there are limits placed on all this. You can decide for yourself whether you believe them.

> Turvey addressed the barcode argument directly in the interview. His exact words: “The barcodes are for locating the item on the shelf. Then he's either lying or mistaken. Digital chain of custody methods exist: https://www.psportals.com/blog/digital-evidence-management-software/ > > ** > > These systems automatically document the chain of custody**, keep digital files securely stored, and integrate with existing case management systems. **They also maintain clear audit trails, so agencies can stay compliant and present admissible evidence in court.** > > > > At its core, digital evidence management software is designed to make evidence handling simpler, securer, and more defensible. > > > > Evidence can be quickly taken in and cataloged using barcode or RFID tracking, **while the chain of custody process is automatically logged in the background.** This prevents the possibility of human error and loss of documentation. > > > > [...] > > > > > > The secure sharing capabilities make it possible to send files to prosecutors, crime labs, and partner agencies **without interrupting the chain of custody software workflow.** > > > > The availability of comprehensive reporting tools creates not only logs for internal audits but also logs that are suitable for presentation in court and that comply with CJIS Requirements for Evidence Management Systems Reviews. If digital chains of custody do not exist, there are a lot of companies out there fleecing police departments by telling them they offer the service. Here's the one my city uses: https://www.officer.com/command-hq/technology/computers-software/product/10212526/porter-lee-corp-crime-fighter-beast-bar-coded-evidence-analysis-statistical-tracking Oh, look what they promise in that blurb! An "ironclad chain of custody"! Coincidentally, that's the same system our state police use, so presumably sending evidence to the statie's labs would be a simpler process. But the biggest city in my state uses this one: https://www.axon.com/products/axon-evidence. I can't actually figure out what system MPD uses. But Latah County uses this one: https://www.coreforcetech.com/resources/latah-county-sheriffs-office-to-purchase-a-new-state-of-the-art-digital-evidence-system >He is a 30 year forensic science expert. I really hope that's not his issue. It's sad when people don't keep up on changes in their field and find themselves struggling with new tech in the workplace.

Ok, I had a chance to look at the expenses for 2025. Here's the other side of the story: Selling, General, and Administrative expenses (which I believe includes executive compensation) was $1.036B, up 40% from 2024 (741M). Research and Design expenses were $684M, up 55% from 2024 (442M). For comparison, revenue increased 33% year over year in 2025. And in Q1 2026, revenue increased 39% YoY, which is the highest I've seen in the last few years. However, as you can see, that troubling pattern of expenses accelerating faster than revenue continued in 2025. Q1 2026 shows that these numbers are still growing, but acceleration slowed: R&D at 25% increase YoY SGA at 16% YoY. Perhaps Q126 is a sign of better controlled costs moving forward, but I guess we will find out in the next few earnings releases if it is a trend or an outlier. (I am not a financial advisor. All numbers are my own and my math could be off. Please do your own research!)

"Collective action, rather than individual action, is required," Marlow told me. "I would caution that while Flock is the most problematic ALPR company in America, there are many other ALPR companies, like Axon and Motorola, that present serious privacy risks, so switching from Flock to Axon/Motorola ALPRs at best may constitute minimal harm reduction, but it is far from a solution." [noalprs.com](https://www.noalprs.com)

Council votes tonight on a $1.14M DOJ grant to build the Real-Time Intelligence Center, a mass surveillance hub for APD. The move would lock Asheville into a 7.5-year relationship with Axon, a major ICE contractor, without a formal contract or agreement. Two items are on the agenda: * **B1** — Accepts the $1.14M grant. Embedded is a $467,602.15 line for FUSUS, the Axon-owned platform that consolidates license plate readers, body/dash cameras, drones, fixed cameras (including in schools), and private camera feeds into one live dashboard. * **B2** — Authorizes the City Manager to negotiate a 7.5-year sole-source Axon contract for Tasers, body cameras, drones, and FUSUS. Once Council approves B2, the binding terms are finalized directly with Axon — no further Council review. # Some of the serious concerns about Axon **Asheville's footage would train Axon's AI by default.** The Axon master agreement automatically enrolls every agency in the "Axon Customer Experience Improvement Program" (ACEIP). Under ACEIP, Axon extracts content from body-cam, drone, and license-plate-reader footage to train its AI — transcription, plate recognition, acoustic event detection — and once Axon designates that content "de-identified," the contract permits transfer to affiliates and subcontractors and reuse in derivative works, with no notice to the City or the public. APD would have to affirmatively revoke ACEIP participation in writing. **Axon can expand the system without coming back to Council.** Buried in Axon's standard terms and conditions: Axon reserves the right to "develop and deploy new Use Cases" with 30 days' notice posted to a webpage at axon.com/aceip. No Council review. No customer consent required. APD told Council on April 28 they don't use facial recognition — but Axon announced in December 2025 it is resuming facial-recognition testing in police body-worn cameras. Under this contract, that capability arrives in Asheville not through a new vote, but through a webpage update.  **Follow the money — straight to ICE.** Axon held approximately $31.9M in active ICE contracts last year (OpenSecrets.org). CEO Rick Smith was the seventh-highest-paid CEO in America in 2024 (NYT). Axon and its CEO are financially aligned with ensuring federal immigration enforcement keeps its access to the systems they sell to local police. **The vendor lock-in is the business model.** Axon has spent a decade vertically integrating police technology — Tasers, body cameras, drones, evidence storage, and now real-time intelligence software through its 2024 acquisition of Fusus. Axon publicly calls this the "Flywheel of Growth": make agencies dependent, then keep raising the price (EFF.org). Asheville would be locking in through 2033. **There has also been no meaningful public input throughout this process**: no public forum, no independent civil-rights or technology review, and no real scrutiny of the sales pitch Axon gave Council at the work session on April 28. Tonight's public comment is one combined period for the entire item. Public comments are expected to be cut from three minutes to two. # Three things that you can do: 1. **Show up for the city council meeting**. Bodies in the room matter; let's show them that moving forward in this way is an election-losing issue. Meeting starts at 5 pm, although the RTIC agenda items are at the end. Bring water and snacks. 2. **Sign up to speak.** Sign-ups open at 4:30, but you might want to arrive earlier. Make your voice heard. 3. **Email Council using the Sunshine Labs template**: [https://www.sunshinelabs.org/sos-sunshine-over-surveillance/](https://www.sunshinelabs.org/sos-sunshine-over-surveillance/). Whether they get the email today, tomorrow, or next week, they need to know the community is not happy with their handling of the issue. Agenda: [https://www.ashevillenc.gov/government/city-council-agenda/](https://www.ashevillenc.gov/government/city-council-agenda/)

# Key Takeaways * The ten companies in this report — [ASML](https://tickeron.com/ticker/ASML/), [TSM](https://tickeron.com/ticker/TSM/), [MSFT](https://tickeron.com/ticker/MSFT/), [GOOGL](https://tickeron.com/ticker/GOOGL/), [V](https://tickeron.com/ticker/V/), [MCO](https://tickeron.com/ticker/MCO/), [SPGI](https://tickeron.com/ticker/SPGI/), [ADBE](https://tickeron.com/ticker/ADBE/), [ISRG](https://tickeron.com/ticker/ISRG/), and [AXON](https://tickeron.com/ticker/AXON/) — share a structural characteristic that most companies never achieve: pricing power, switching costs, and market position so entrenched that competition is functionally irrelevant to their business model. * [ASML ](https://tickeron.com/ticker/ASML/) is the only company on earth that manufactures EUV lithography machines, making it the literal gatekeeper of the entire semiconductor industry; without ASML, no advanced chip exists. * [TSM ](https://tickeron.com/ticker/TSM/) controls 90% of advanced chip manufacturing globally — every major AI accelerator, from NVIDIA's Blackwell to Apple's M5, is fabricated exclusively in TSMC's fabs. * [MSFT ](https://tickeron.com/ticker/MSFT/) has converted enterprise AI into a recurring revenue machine: Copilot surpassed 200 million paid seats by early 2026, and Azure AI is growing at 30%-plus annually, making Microsoft the full-stack enterprise AI platform of record. * [GOOGL ](https://tickeron.com/ticker/GOOGL/) has defied the disruption narrative — Search revenue grew 17% despite AI challengers, Google Cloud grew 48% year-over-year, and Gemini integration is driving AI Overview monetization through higher-intent ad queries. * [V ](https://tickeron.com/ticker/V/) controls approximately 60% of global card payment volume (excluding China), processes $17 trillion annually, and is now executing a strategic pivot to capture a $200 trillion total addressable market in non-card money movement.[MCO ](https://tickeron.com/ticker/MCO/) and [SPGI](https://tickeron.com/ticker/SPGI/)  together constitute a duopoly over global credit ratings — debt issuers cannot access capital markets without their ratings, creating one of the most durable toll-booth business models in financial services. * [ISRG ](https://tickeron.com/ticker/ISRG/) holds 60%-plus market share in robotic surgery globally, with over 11,100 da Vinci systems installed — each system generating a multi-decade recurring revenue stream from instruments and service contracts. * [AXON ](https://tickeron.com/ticker/AXON/) has built a Public Safety Operating System that combines hardware dominance (TASER, body cameras) with an AI software layer (Draft One, Axon Evidence) that has achieved 80%-plus software gross margins and $14.4 billion in future contracted bookings. * All ten companies are either actively deploying AI strategies that deepen their existing monopolistic positions or are direct infrastructure enablers of the global AI buildout — in no case does AI represent a disruption threat to their core moat.

For all of you advocating for flock to be removed this is the ultimate of eating your own words Denver removed all of their flock cameras only to go to axon in which axon has a larger database of body cameras, OpenAI facial recognition AND mobile LPRs in squad cars. I will also mention the data base of facial recognition from body cameras to now the Axon cameras on the light poles. The best part? Axon has one large database that can put it all together as a search. This would be the ultimate warning for those of you that want to get rid of flock altogether, and a city going to something so much worse than what flock had provided to agencies and now Denver is going to be the poster child of an almost alike Chinese surveillance

New to posting here but have been in the area since 2021 and have witnessed a massive change in LE's public surveillance investments just in the last year or so. Wanted to share today's Tally Democrat article reporting on the use of various surveillance cameras in and around Tallahassee. See also: [https://www.tallahassee.com/story/news/local/2025/12/12/tallahassee-police-department-confirms-use-of-flock-cameras-license-plate-readers/87721042007/](https://www.tallahassee.com/story/news/local/2025/12/12/tallahassee-police-department-confirms-use-of-flock-cameras-license-plate-readers/87721042007/) and [https://www.tallahassee.com/story/news/crime/2026/04/24/florida-police-used-flock-cameras-to-track-no-kings-protesters/89749947007/](https://www.tallahassee.com/story/news/crime/2026/04/24/florida-police-used-flock-cameras-to-track-no-kings-protesters/89749947007/) **Update from previous Flock, etc posts:** FSU PD, TPD, and LCSO are trying to copy Atlanta's mass surveillance architecture with the Axon Fuses software in their "Connect Tallahassee" initiative ( [https://connecttallahassee.org/](https://connecttallahassee.org/) ). This gives their recently built Real-time Crime Center full or request-only access to **privately owned** cameras for customers that *opt-in*. "Integrated" Ring, etc cameras give law enforcement **full access at all times**. Reminder that their self-stated mission is to "proactively detect criminal activity" [https://stories.opengov.com/tallahasseefl/published/1qWMoDgsQ](https://stories.opengov.com/tallahasseefl/published/1qWMoDgsQ) . This program follows the same concept that failed miserably as a Super Bowl ad [https://www.youtube.com/watch?v=OheUzrXsKrY](https://www.youtube.com/watch?v=OheUzrXsKrY) and created so much public backlash that Ring cancelled their partnership with Flock... Putting the Minority Report parallels aside and the fact that Flock cameras have been discussed extensively in previous posts (see: [https://www.reddit.com/r/Tallahassee/comments/1t4dbho/genuine\_question\_about\_flock\_cameras\_not\_judging/](https://www.reddit.com/r/Tallahassee/comments/1t4dbho/genuine_question_about_flock_cameras_not_judging/) ), **the county commission is holding a meeting on Tuesday (5/12) at 3pm to go over a report which will guide their expanding of speed zone, flock, and facial recognition tech used by LCSO.** See Section 6 of the May 12th agenda: [https://www2.leoncountyfl.gov/coadmin/agenda/view2.ASp?id=15931](https://www2.leoncountyfl.gov/coadmin/agenda/view2.ASp?id=15931) . I do not see anything resembling safe-guards against abuse of the systems. Those of you in Leon County who care about this issue, this meeting may be one of the few chances to speak to the county commission about it. Commisioner Christian Caban has made a post today requesting public feedback on today's Tally Dem article: [https://www.facebook.com/CommissionerCaban](https://www.facebook.com/CommissionerCaban) Check out the "Deflock" website for the current map of the Flock Safety cameras around Tally. *I do not encourage or condone the damage of these surveillance systems as destruction or tampering can be charged as felony criminal mishief (FL Statute 806.13).*

I'm sharing an open letter from Sunshine Labs regarding the votes to expand mass surveillance tech at the City Council meeting on Tuesday. The letter does an incredible job of summarizing what is at stake with this vote, why a NO vote is needed, and what measured, practical steps Council should take before these items return to the agenda. If you are at all concerned about the normalization of constant surveillance, please read and share this letter. Then show up and make your voice heard on May 12. I've pasted the open letter below. For more details, [visit the Sunshine Labs website](https://www.sunshinelabs.org/sos-sunshine-over-surveillance/). \------------------------------- **Update (May 7th, 2026): Our position has changed. We are now firmly asking Council to vote NO on Items B1 and B2 on May 12.** At the [May 7 Agenda Briefing worksession](https://www.youtube.com/watch?v=I0PFVrO9CRQ), it was confirmed that there is no formal Axon contract for Council to review on May 12. Item B2 is the cooperative purchasing authority — after Council approves it, the City Manager will negotiate the binding contract with Axon directly, with no further Council review. Council cannot meaningfully approve a 7.5-year, multi-million-dollar vendor commitment whose binding operational terms do not yet exist. The conditions in this summary remain — they are now the conditions for any future return of these items, not for a yes vote on May 12. On May 12, Asheville City Council is expected to take two related RTIC votes: [(1) accepting a $1.14M federal DOJ grant](https://docs.google.com/document/d/1KRXavVnxhZJNLcbfC-yvXkzrRnbrF4iqVDfbady1rCs/edit?tab=t.0#heading=h.s0bur3aw1945), and [(2) authorizing a separate 7.5-year sole-source contract with Axon Enterprises](https://docs.google.com/document/d/1oSKkR0rgKtVaidumDJzReOorE3dTDk1xWTnyfAQVhZo/edit?tab=t.0#heading=h.hw1iml7zut1b) that consolidates APD's existing body cameras, Tasers, drones, Lightpost, and Interview Room equipment AND ADDS FUSUS — the platform that would power the RTIC. The Axon contract has not been reviewed by any committee. It is mechanically linked to the grant: the $467,602.15 "Contracted Services" line in the grant budget is the FUSUS portion of the Axon bundle. Sunshine Labs is asking Council to vote NO on both items on May 12. The conditions below must be met before either item returns to the agenda: publish what already exists, establish meaningful oversight of what is already deployed, and conduct a real public process — before adding more surveillance tools. # Timeline • April 14: Grant placed on the consent agenda — pulled after community members packed the chamber. • April 28: A 45-minute PFI worksession featured APD and paid Axon and Flock representatives. Public comment was not permitted. • The City Manager confirmed there is no federal deadline for accepting the grant. The May 12 timeline is self-imposed. # Why This Matters **Public participation and procurement have been bypassed**. Council has heard from only APD and the vendors. The [7.5-year Axon contract](https://docs.google.com/document/d/1oSKkR0rgKtVaidumDJzReOorE3dTDk1xWTnyfAQVhZo/edit?tab=t.0#heading=h.hw1iml7zut1b) has had no committee review and is being authorized through Sourcewell — a cooperative-purchasing exemption that bypasses competitive bidding. **Residents need more information.** The proposed Axon contract and the existing Flock contract are both unpublished. APD has refused a public records request for Flock audit logs. One agency on APD's Flock data-sharing list is Florida Fish & Wildlife — [reported by 404 Media](https://www.404media.co/floridas-wildlife-cops-are-searching-thousands-of-flock-cameras-for-ice/) to be running thousands of Flock searches on behalf of ICE. **Federal money is not free money.** The current administration has explicitly conditioned federal funding on local ICE cooperation and pursued legal action against jurisdictions that limit it. The grant resolution itself acknowledges that compliance terms will be set "at the Federal level" — and reviewed only AFTER acceptance. Separately, Axon held approximately [$31.9 million in ICE contracts in 2025](https://www.opensecrets.org/news/2026/04/palantir-axon-parsons-triple-lobbying-expenditures-while-raking-in-millions-from-ice-contracts/). **Civilian oversight has been dismantled.** Asheville's Citizens Police Advisory Committee was paused in 2020 and dismantled in 2024. APD points to self-audits — but in San Francisco, [SFPD shared Flock data with ICE and out-of-state agencies 1.6 million times](https://sfstandard.com/2025/09/08/sfpd-flock-alpr-ice-data-sharing/) in violation of state law, undetected through two consecutive quarterly audits. **Six Conditions Before Either Item Returns to the Agenda** 1. No consent agenda. Hold multiple public hearings — not the legal minimum — and waive the one-hour public comment cap. 2. Convene a public forum with independent civil rights and technology experts. 3. Publish all relevant documents before any future vote: the binding Axon contract (Master Services Agreement, FUSUS Statement of Work, and Quote with line-item pricing and term length), the existing Flock contract, data-sharing agreements, audit results, equipment maps, the RTIC operational plan, projected costs, and oversight mechanisms. 4. Publish the federal grant agreement with a City Attorney legal analysis on ICE cooperation. Be prepared to decline if protections cannot be secured. 5. Re-establish a civilian oversight body with binding authority — to review existing tools BEFORE any expansion. 6. Require competitive procurement (RFPs) for surveillance contracts, including the Axon bundle ([Item B2](https://docs.google.com/document/d/1oSKkR0rgKtVaidumDJzReOorE3dTDk1xWTnyfAQVhZo/edit?tab=t.0#heading=h.hw1iml7zut1b)), with change-in-terms protections, data-sharing limits, audit rights, and exit clauses. # How to Take Action * **Speak at the May 12 Council meeting**. Public comment is capped at one hour — sign up early. * **Endorse the open letter by 5pm Monday, May 11** to be included in the public record on May 12. * **Email Council**. An email template is on the campaign page. Read the full open letter and endorse: [sunshinelabs.org/sos-sunshine-over-surveillance](http://sunshinelabs.org/sos-sunshine-over-surveillance)

I listened to much of the earnings call and was not surprised to hear AI mentioned an exceptional number of times. That seems to be common with just about any stock now. However, Axon reported 700% increased revenue with their ever-increasing AI offerings. I thought that was a striking number. At least from their earnings, it seems that agencies really appreciate and use these tools, which is resulting in demand. That seems to lean more "hero" than just "hype." I believe the tools are expensive, so there is probably a larger barrier to entry for many agencies than with their other segments. I'm curious if this growth is primarily from large agencies or governments and whether or not there is a path to wide scale adoption. I also plan to dive into the numbers and update my personal data on Axon in a few days. I'm especially watching revenue growth (which I know was exceptional again) and their costs. They don't ever speak to their ever-increasing costs, and as I've previously written, costs have been accelerating faster than revenue (as a percentage). I'll report back what I see in a days!

In 2023, after a series of mass-stabbings, the South Korean government began procurement of the STRV9 less lethal revolver for frontline officers. The arming of ROK police officers is quite interesting. After the democratization of Korea, to limit the power of police, its firearms and use of force powers are severely weakened and limited. As a result, only 44% of all police officers are armed. For those that are armed, a S&W M60 revolver is issued (picture 2 and 3) The hammer rests on a empty chamber, the next round is a blank followed by three rounds of .38 ball ammo, however, a veteran police officer have stated if they expect to open fire they will rotate the cylinder before hand to skip the blank round. The STRV9 revolver will follow the same loading pattern with a blank followed by 5 less lethal rounds that penetrates 6 cm of the human body. If needed, lethal 9mm rounds can be fired. The revolver also houses a smart module similar to what the new Axon tasers have that record time and place of firing, ammo used and shooting angle etc. A safety is also mounted on the opposite side of the cylinder release. It is expected that every police officers will be armed with this by 2029.

Backstory: I've spent about 25 years in software and security, and most of the last decade in banking. I've navigated the same kinda high-stakes data environments the APD is trying to build here (with arguably the same sort of technical resources sometimes). After watching the council briefing this morning, I need to sound the alarm on things that aren't being discussed. City council is voting this Tuesday to let the city manager 'negotiate' a million dollar grant for a Real-Time Intelligence Center (RTIC). Everything about this is a dumpster fire. 1. This is a grant through everyone's favorite 'love-to-hate' congressional rep, Chuck Edwards. Why are we insistent on taking the slop he's providing? Should we, as a 'nominally liberal' city council, be seriously concerned with the opposition party is giving us money to enact their agenda, instead of doing what's best for our neighbors? 2. Council and Staff confirmed [they don't have a drafted contract with Axon](https://www.youtube.com/live/I0PFVrO9CRQ?si=jSftlQKPRbXU9Y3c&t=2485), makers of the FUSUS system. If they vote YES on Tuesday, they're giving the city manager the power to sign whatever Axon puts in front of them without any other Council review. If this was in banking, you'd say it was a catastrophic failure of due diligence. 3. Axon is mining our data for profit (ACEIP) Axon’s [data use policy (ACEIP)](https://www.axon.com/aceip-law-enforcement) is a nightmare. They use our private data to train their AI models and make a profit. Their policy allows them to change how they use our data with just 30 days' notice on a webpage. No email, no reach-out, no public notice. They can change the rules of our privacy before we even have time to review them. 4. "But it solves crime": So, what happens is, the sales people come out, point to the [white paper](https://www.researchgate.net/publication/377845222_Flock_Safety_Technologies_in_Law_Enforcement_An_Initial_Evaluation_of_Effectiveness_in_Aiding_Police_in_Real-World_Crime_Clearance) that Flock wrote, and guess what: it's marketing material! It's not peer reviewed! It has no control groups! It doesn't factor in other possible concerns. It's a fluff piece meant to sell you something and make you believe that you're buying something that does what it says. 5. While I believe Councilor Hess' resolution is well meaning, but it needs teeth. Unless it specifically mandates independent external audits, and not just 'internal reviews', an explicit ban on facial recognition, and a mandatory opt-out of Axon's ACEIP data-mining, it's just a PR shield for another bad contract. 6. This literally opens the door for Trump, the FBI, DHS, ICE, NSA to all look at our data. These sort of security vulnerabilities aren't 'rare', [they're all over the place](https://jsis.washington.edu/humanrights/2025/10/21/leaving-the-door-wide-open/) in similar application stats, and they're not audited, nor responsible for them. If your bank gave out your personal information after a leak was determined, you'd be entitled to compensation and restitution, and yet, these companies profiting off of our public information, do not have any similar process. All the liability lies at the hands of the city. [In 2026 Denver City Auditor refused to sign their Flock contract for this exact reason.](https://www.cbsnews.com/colorado/news/denver-auditor-flock-cameras-contract) Why do we put ourselves in this mess? We are being sold 'public safety' by a company that was [caught using police "shills" with secret equity stakes](https://theintercept.com/2025/09/02/atlanta-seattle-police-axon-fusus-surveillance/) to push this tech. [In 2020, a misidentified ALPR data point led to an innocent mother and her kids being held at gunpoint by police](https://www.theguardian.com/us-news/2024/feb/06/aurora-settlement-black-family-held-gunpoint-police). As a parent, and someone who cares about the safety of our residents, is terrorizing innocent residents due to technical failures truly in the best interest of 'public safety'? It's not. If you want an easy way to email all the people involved and tell them to stop this madness, I have a form here for y'all. [https://actionnetwork.org/letters/7bec77518e36a31d3e83c78f3c9f72325d0ef49d](https://actionnetwork.org/letters/7bec77518e36a31d3e83c78f3c9f72325d0ef49d) Let's keep fighting the good fight, we can win this.

# Key Takeaways * The ten companies in this report — [ASML](https://tickeron.com/ticker/ASML/), [TSM](https://tickeron.com/ticker/TSM/), [MSFT](https://tickeron.com/ticker/MSFT/), [GOOGL](https://tickeron.com/ticker/GOOGL/), [V](https://tickeron.com/ticker/V/), [MCO](https://tickeron.com/ticker/MCO/), [SPGI](https://tickeron.com/ticker/SPGI/), [ADBE](https://tickeron.com/ticker/ADBE/), [ISRG](https://tickeron.com/ticker/ISRG/), and [AXON](https://tickeron.com/ticker/AXON/) — share a structural characteristic that most companies never achieve: pricing power, switching costs, and market position so entrenched that competition is functionally irrelevant to their business model. * [ASML ](https://tickeron.com/ticker/ASML/) is the only company on earth that manufactures EUV lithography machines, making it the literal gatekeeper of the entire semiconductor industry; without ASML, no advanced chip exists. * [TSM ](https://tickeron.com/ticker/TSM/) controls 90% of advanced chip manufacturing globally — every major AI accelerator, from NVIDIA's Blackwell to Apple's M5, is fabricated exclusively in TSMC's fabs. * [MSFT ](https://tickeron.com/ticker/MSFT/) has converted enterprise AI into a recurring revenue machine: Copilot surpassed 200 million paid seats by early 2026, and Azure AI is growing at 30%-plus annually, making Microsoft the full-stack enterprise AI platform of record. * [GOOGL ](https://tickeron.com/ticker/GOOGL/) has defied the disruption narrative — Search revenue grew 17% despite AI challengers, Google Cloud grew 48% year-over-year, and Gemini integration is driving AI Overview monetization through higher-intent ad queries. * [V ](https://tickeron.com/ticker/V/) controls approximately 60% of global card payment volume (excluding China), processes $17 trillion annually, and is now executing a strategic pivot to capture a $200 trillion total addressable market in non-card money movement.[MCO ](https://tickeron.com/ticker/MCO/) and [SPGI](https://tickeron.com/ticker/SPGI/)  together constitute a duopoly over global credit ratings — debt issuers cannot access capital markets without their ratings, creating one of the most durable toll-booth business models in financial services. * [ISRG ](https://tickeron.com/ticker/ISRG/) holds 60%-plus market share in robotic surgery globally, with over 11,100 da Vinci systems installed — each system generating a multi-decade recurring revenue stream from instruments and service contracts. * [AXON ](https://tickeron.com/ticker/AXON/) has built a Public Safety Operating System that combines hardware dominance (TASER, body cameras) with an AI software layer (Draft One, Axon Evidence) that has achieved 80%-plus software gross margins and $14.4 billion in future contracted bookings. * All ten companies are either actively deploying AI strategies that deepen their existing monopolistic positions or are direct infrastructure enablers of the global AI buildout — in no case does AI represent a disruption threat to their core moat.   # The Anatomy of a 2026 Monopoly A monopoly stock in 2026 is not a company that simply lacks competition. It is a company where the competitive moat is so structurally embedded — in regulatory approvals, patent portfolios, network effects, installed base lock-in, or technical complexity — that competitors cannot meaningfully challenge the business even with sufficient capital and intent. The ten companies in this report represent the most defensible market positions across technology, financial services, healthcare, and public safety. They are not immune to macro volatility, regulatory pressure, or sector rotation. What they share is a fundamental business architecture where pricing power compounds over time rather than eroding under competitive pressure. The 2026 context matters: AI has bifurcated the market into companies whose moats are being disrupted by AI and companies whose moats are being deepened by it. Every company in this report falls into the second category — AI either enlarges their addressable market, increases their switching costs, or makes their proprietary data and infrastructure more valuable. That distinction is the core investment thesis.   # The 10 Companies: Monopolistic Analysis # Group 1: Semiconductor Infrastructure Monopolies # [ASML ](https://tickeron.com/ticker/ASML/) (ASML Holding) — The Only Gatekeeper of Advanced Chips **Market Cap: \~$270B | 1-Year Performance: -14% (geopolitical overhang) | Monopoly Type: Absolute Technical Monopoly** ASML's monopoly is the most complete of any publicly traded company. Extreme Ultraviolet (EUV) lithography — the process by which light is used to etch nanometer-scale circuits onto silicon wafers — requires machines of such extraordinary engineering complexity that only ASML has ever successfully built them. TSMC, Samsung, and Intel each depend entirely on a steady supply of ASML EUV machines to produce any advanced chip below 7 nanometers. There is no alternative supplier. There is no credible timeline for a competitor to develop a rival product. The financial profile reflects this position: Q1 2026 net sales of €8.8 billion, gross margin of 53%, net income of €2.8 billion, and a backlog of €38.8 billion as of end-2025. Full-year 2026 guidance targets €34–39 billion in revenue with margins sustained above 51%. ASML plans to increase EUV production capacity by 50% over the coming years. The 14% stock decline of the past year reflects geopolitical pressure — U.S. export controls limiting sales to China — not fundamental deterioration. Analysts project a 24% stock price recovery with top estimates near $2,000 per share. **AI Strategy:** ASML is not an AI deployer — it is the physical infrastructure without which AI chips cannot exist. Every NVIDIA Blackwell GPU, every AMD MI300X, every Apple M-series chip requires ASML EUV machines to manufacture. As AI chip demand scales from millions to tens of millions of units, ASML's order book compounds. The company is also integrating AI into its machine maintenance and fault detection systems, improving uptime on equipment that costs upwards of $350 million per unit. Volatility: **Moderate** (geopolitical risk is primary driver, not fundamental risk).   # [TSM ](https://tickeron.com/ticker/TSM/) (Taiwan Semiconductor Manufacturing Company) — The World's Chip Factory **Market Cap: \~$900B | 1-Year Performance: Record Q1 2026 profits | Monopoly Type: Technological Process Monopoly** TSMC holds 60% of the global foundry market and 90% of advanced chip manufacturing. No other fabrication company can produce leading-edge chips at scale. Samsung trails by multiple generations at advanced nodes; Intel Foundry is years from competitive parity. Advanced nodes — 3nm, 5nm, and 7nm combined — accounted for 74% of TSMC's Q1 2026 wafer revenue, with 3nm alone contributing 25%. Revenue is projected to grow 21% in fiscal 2026 to approximately $146 billion, following 34% growth in 2025. TSMC's moat is not simply market share — it is an accumulated manufacturing knowledge base, equipment calibration, and process chemistry that has taken 30 years to develop. The capital barrier to entry is $30–50 billion per advanced fab, and the intellectual property barrier is effectively insurmountable on any 5–10 year horizon. TSMC's Arizona fabs represent geographic diversification; the core manufacturing advantage remains concentrated in Taiwan. **AI Strategy:** TSMC manufactures every significant AI chip in production. NVIDIA's Blackwell architecture, AMD's Instinct series, Google's TPUs, Amazon's Trainium, and Apple's Neural Engine all run through TSMC fabs. 2nm process nodes — entering production in 2025–2026 — are expected to run at full capacity by end-2026. TSMC's CoWoS advanced packaging technology, which stacks HBM memory directly onto AI processors, is itself a bottleneck in global AI chip supply. AI chip demand is TSMC's primary revenue growth driver. Volatility: **Moderate** (Taiwan geopolitical risk is structural; business fundamentals are exceptional).   # Group 2: Enterprise AI and Cloud Platforms # [MSFT ](https://tickeron.com/ticker/MSFT/) (Microsoft) — The Enterprise AI Operating System **Market Cap: \~$3T | Trading Near $415 (March 2026) | Monopoly Type: Enterprise Platform Lock-In + AI Distribution** Microsoft's monopoly has evolved. The Windows monopoly of the 1990s gave way to the Office monopoly of the 2000s, which gave way to the Azure + Microsoft 365 cloud subscription monopoly of the 2010s. In 2026, Microsoft is executing the transition to enterprise AI platform monopoly. The mechanism is Copilot: an AI layer embedded across every Microsoft product — Word, Excel, Teams, Outlook, GitHub, Dynamics, Azure — that makes switching costs exponentially higher with each workflow that becomes AI-assisted. By early 2026, Copilot for Microsoft 365 reached 200 million paid seats. Azure AI is growing at 30%-plus, driven by enterprise demand for compute, custom silicon (Maia), and pre-built AI models. Analyst targets range from $460 (JPMorgan) to $600 (Wedbush). **AI Strategy:** Microsoft is the AI strategy. The $13 billion OpenAI investment gave Microsoft first access to GPT-4 and beyond, embedded across every product line. GitHub Copilot has become the standard AI coding tool for enterprise developers. Azure OpenAI Service is the primary enterprise API gateway for AI deployment. Copilot Studio enables enterprises to build custom AI agents on Microsoft infrastructure. Microsoft is not adding AI to its products — it is converting its installed base of 400 million Microsoft 365 users into recurring AI revenue. Volatility: **Moderate** (premium valuation requires continued AI execution delivery).   # [GOOGL ](https://tickeron.com/ticker/GOOGL/) (Alphabet) — The Search, Cloud, and AI Infrastructure Monopoly **Market Cap: \~$4T | Consensus Target $320–$380 | Monopoly Type: Search Distribution + AI Infrastructure** Alphabet's moat has three layers, each reinforcing the others. Google Search holds a structural distribution monopoly through the Android ecosystem (3 billion devices) and the Apple default search deal. Search revenue grew 17% in the most recent quarter despite AI chatbot competition — because AI Overviews are generating higher-intent, longer-tail queries that command premium ad rates. Google Cloud grew 48% year-over-year with a $240 billion backlog, establishing Google as the third hyperscaler with a differentiated "best cloud for AI" positioning driven by TPU infrastructure. YouTube processed advertising at a scale that makes it effectively the television network of the internet generation. The regulatory overhang — DOJ antitrust proceedings, EU Digital Markets Act compliance — is the primary risk factor but has not materially impaired revenue growth. Alphabet spent $92 billion on data centers and AI silicon in 2025, creating an infrastructure moat that newcomers cannot replicate. **AI Strategy:** Gemini 2.0 is integrated across Search, Google Cloud, Google Workspace, and Android. Alphabet's TPU v6 is competing directly with NVIDIA for AI training workloads. AI Overviews in Search are creating new high-value ad inventory. Google DeepMind continues to produce frontier research (AlphaFold, Gemini) that translates directly into commercial product advantages. Alphabet's AI strategy is defensive (protecting Search) and offensive (Cloud + TPU) simultaneously. Volatility: **Moderate-High** (regulatory binary risk; core business fundamentals are strong).   # Group 3: Financial Infrastructure Monopolies # [V ](https://tickeron.com/ticker/V/) (Visa) — The Global Payment Network **Market Cap: \~$600B | Monopoly Type: Two-Sided Network Effect Monopoly** Visa's moat is a two-sided network that has compounded for 60 years: more merchants accept Visa because more consumers carry it, and more consumers carry it because more merchants accept it. With 4.5 billion cards in circulation and approximately 60% of global card payment volume (excluding China), Visa's network cannot be replicated by any startup regardless of capital — because the merchant and consumer relationships were built over decades. The company processed $17 trillion in card payments in fiscal 2025. The next strategic phase is the $200 trillion non-card payments market. Visa's 2026 strategy repositions the company from a card network to a network-of-networks: Visa Direct for real-time account-to-account payments, tokenization (50% of Visa e-commerce transactions are now tokenized), and value-added services (VAS) creating new switching costs. The company invests $13 billion annually in technology infrastructure. **AI Strategy:** AI fraud detection is already core infrastructure — Visa's AI systems analyze 500 billion transactions annually to identify fraud in real time. The next layer is AI-powered merchant analytics, dynamic currency conversion optimization, and AI-enhanced credit decisioning for card issuers. Visa's position as the data layer between merchants and consumers makes it one of the most valuable AI training datasets in financial services. Volatility: **Low-Moderate** (defensive revenue; primary risk is regulatory intervention in the duopoly structure).   # [MCO ](https://tickeron.com/ticker/MCO/) (Moody's Corporation) — The Credit Rating Toll Booth  **Market Cap: \~$70B | Q1 2026 Revenue +8% to $2.1B | Monopoly Type: Regulatory-Mandated Oligopoly** Moody's operates in one of the most durable oligopolies in finance. Credit ratings from Moody's or S&P Global are not optional for debt issuers — they are required by regulation for institutional bond buyers. Investment-grade ratings from a Nationally Recognized Statistical Rating Organization (NRSRO) are mandated by pension fund charters, insurance regulations, and money market fund rules globally. Moody's and S&P together control approximately 80% of the global ratings market. A new entrant cannot disrupt this structure without changing the underlying regulatory framework — a multi-decade process at minimum. Q1 2026 results were record-setting: revenue of $2.1 billion (up 8%), Adjusted EPS of $4.33 (up 13%), Adjusted Operating Margin of 53.2%. Full-year 2026 guidance calls for $16.40–$17.00 Adjusted Diluted EPS with $2.5 billion in share repurchases. The consensus analyst price target is $543.94 with a Buy rating from 16 analysts. **AI Strategy:** Moody's Analytics — the non-ratings segment — is the primary AI growth vehicle. The company is deploying AI for automated credit risk assessment, ESG scoring, private credit analysis, and real-time financial data analytics. AI accelerates the speed and scale of risk analysis without requiring proportional headcount growth, expanding margins. Moody's proprietary data on 450 million entities worldwide is the training foundation for its financial AI models. Volatility: **Low-Moderate** (interest rate and issuance volume sensitivity; core rating franchise is highly defensive).   # [SPGI ](https://tickeron.com/ticker/SPGI/) (S&P Global) — The Financial Data and Ratings Infrastructure **Market Cap: \~$140B | Trading at \~$449 (April 22, 2026) | Monopoly Type: Data and Ratings Duopoly** S&P Global's moat has two components. The ratings business shares the regulatory-mandated oligopoly structure with Moody's — the S&P credit rating is a prerequisite for capital market access globally. The Market Intelligence and Indices businesses are equally powerful: the S&P 500 index itself is proprietary infrastructure. Every passive investment fund, ETF, and institutional benchmark that tracks the S&P 500 pays S&P Global a licensing fee. The S&P 500 had approximately $7.5 trillion benchmarked to it — making the index itself a perpetual revenue-generating asset. Q4 2025 showed subscription revenue organic growth of 7% in Market Intelligence and 12% in Ratings. The stock pulled back significantly on 2026 guidance that came in below Wall Street estimates — full-year 2026 Adjusted EPS guidance of $19.40–$19.65 versus consensus of $19.94 — creating a valuation entry point that Forbes identified as a 32% discount to prior levels. **AI Strategy:** S&P Global is deploying AI across its data products for automated financial analysis, private markets intelligence, and predictive credit modeling. The company's proprietary financial datasets — bond ratings history, corporate filings, market data — are among the most valuable AI training resources in financial services. AI-driven workflow automation is expected to expand margins through 2026. The company's expansion into private credit markets (a $2 trillion and growing asset class) is the primary secular growth driver. Volatility: **Moderate** (guidance miss created buying opportunity; core franchise is structurally sound).   # Group 4: Healthcare Technology Monopoly # [ISRG ](https://tickeron.com/ticker/ISRG/) (Intuitive Surgical) — The Robotic Surgery Standard **Market Cap: \~$140B | 11,100+ Installed Systems | Monopoly Type: Installed Base + Regulatory Lock-In** Intuitive Surgical's monopoly is architectural. The da Vinci surgical robot represents a 30-year investment in regulatory approval, surgeon training, hospital integration, and procedural data. With over 11,100 systems installed globally — reflecting 12% growth in 2025 — and an estimated 60%-plus market share in robotic surgery (70%–80% in soft-tissue procedures), Intuitive is not merely leading the market; it is the market. Stryker, the second-largest player, holds approximately 15%. The business model amplifies the moat: the robot itself generates revenue on installation, but the recurring stream comes from proprietary instruments (which wear out and must be replaced), service contracts, and data analytics. A hospital that trains its entire surgical team on da Vinci cannot easily switch platforms — the retraining cost, the regulatory re-certification cost, and the procedural disruption cost are prohibitive. Da Vinci 5 launched with accelerating procedure volumes in 2025–2026, adding Ion (lung biopsy) and SP (single-port) platforms as additional recurring revenue streams. Barclays maintains an Overweight rating post Q1 2026 with a $651 price target. **AI Strategy:** Da Vinci 5 incorporates AI-assisted force sensing, instrument control optimization, and post-operative procedure analytics. Intuitive is building a procedural data library — the largest repository of robotic surgical data in existence — that trains AI models for surgical guidance, complication prediction, and outcome optimization. AI enhances the surgeon's precision rather than replacing the surgeon, deepening the value proposition rather than threatening it. Volatility: **Low-Moderate** (defensive recurring revenue; regulatory approval timelines are primary expansion constraint).   # Group 5: AI-Native Public Safety and Creative Software # [ADBE ](https://tickeron.com/ticker/ADBE/) (Adobe) — The Creative Professional Standard **Market Cap: \~$130B | 1-Year Performance: -36.9% | Monopoly Type: Workflow Lock-In + IP Indemnity Moat** Adobe's monopoly is built on workflow integration depth that no single-purpose AI tool can replicate. Photoshop, Illustrator, Premiere Pro, After Effects, Acrobat, and InDesign are not independent tools — they are an interconnected production pipeline used by 90% of Fortune 500 companies for creative and document workflows. A designer who moves from Photoshop does not just change one application; they disrupt an entire organizational workflow that has been trained and standardized for decades. The 2026 AI disruption narrative — that tools like Midjourney, Runway, and OpenAI's Sora make Adobe obsolete — is partially misapplied. Adobe Firefly, trained exclusively on Adobe Stock and public domain content, offers corporate clients IP indemnity that no third-party AI image generator can match. Enterprise legal departments require indemnified AI content for brand assets; Firefly provides it. Adobe Acrobat AI Assistant and GenStudio are gaining traction in the enterprise Content Supply Chain workflow. The 36.9% 1-year decline has compressed the stock to a level where Firefly ARPU expansion and Experience Cloud growth become compelling re-rating catalysts. Analyst sentiment is cautious but stable, with bulls at Stifel and BMO citing the sticky ecosystem. **AI Strategy:** Adobe's entire 2026 roadmap is AI-first. Firefly generative models are integrated across all Creative Cloud applications. Agentic AI workflows — multi-step automation across Premiere, Photoshop, and Illustrator — are in active development. The acquisition of Semrush adds AI-driven marketing intelligence to the Experience Cloud. Adobe GenStudio provides brands with AI-generated content at scale while maintaining brand consistency — a capability that AI-only startups without Adobe's distribution cannot replicate. Volatility: **High** (AI disruption narrative creates persistent multiple compression risk; Firefly monetization is the key catalyst).   # [AXON](https://tickeron.com/ticker/AXON/) #  (Axon Enterprise) — The Public Safety Operating System **Market Cap: \~$35B | 2026 Revenue Guidance: +27–30% | Monopoly Type: Hardware + Software Ecosystem Lock-In** Axon's monopoly is the most recent construction on this list and the fastest-growing. What began as the dominant TASER manufacturer has evolved into a comprehensive Public Safety Operating System: Axon Body cameras, TASER 10, Axon Evidence (digital evidence management), Draft One (AI report writing), Fleet (vehicle cameras), and Axon Records (records management). The company has digitized the law enforcement workflow from incident to courtroom. With $14.4 billion in future contracted bookings as of Q4 2025, Axon has locked in growth through the end of the decade. Draft One — the AI tool that automatically generates police reports from body camera audio — has driven the most dramatic product adoption in Axon's history. Agencies using Draft One report 50%–80% reductions in administrative time. Software-only gross margins now exceed 80%. The 26% single-session stock surge in March 2026 following Q4 2025 earnings confirmed the market's repricing of Axon from hardware manufacturer to AI software company. 2026 guidance calls for 27%–30% revenue growth with a $6 billion long-term target by 2028. **AI Strategy:** Axon is a native AI company in a hardware wrapper. Draft One, built on generative AI, is the flagship product. The Axon Evidence platform collects and processes the largest repository of law enforcement operational data in existence — creating a training foundation for predictive policing analytics, use-of-force optimization, and incident outcome modeling. The "land and expand" strategy — place a TASER or camera, then sell the AI software layer — is generating compounding revenue per agency. The primary competitive risk is Motorola Solutions, but Axon's installed base and software integration depth create a 3–5 year barrier. Volatility: **High** (premium growth valuation; execution against 27–30% revenue guidance is critical).   # Stock Groups and Associated ETFs The 10 monopoly stocks organize naturally into five thematic groups: * **Group 1 — Semiconductor Infrastructure:**  * [ASML](https://tickeron.com/ticker/ASML/), [TSM](https://tickeron.com/ticker/TSM/) * **Group 2 — Enterprise AI and Cloud Platforms:**  * [MSFT](https://tickeron.com/ticker/MSFT/), [GOOGL](https://tickeron.com/ticker/GOOGL/) * **Group 3 — Financial Infrastructure:**  * [V](https://tickeron.com/ticker/V/), [MCO](https://tickeron.com/ticker/MCO/), [SPGI](https://tickeron.com/ticker/SPGI/) * **Group 4 — Healthcare Technology:**  * [ISRG](https://tickeron.com/ticker/ISRG/) * **Group 5 — AI-Native Platforms:**  * [ADBE](https://tickeron.com/ticker/ADBE/), [AXON](https://tickeron.com/ticker/AXON/) # 10 Associated ETFs |**Ticker**|**Name**|**Group Exposure**|**AUM**|**2026 YTD**|**Volatility**| |:-|:-|:-|:-|:-|:-| |[SOXX](https://tickeron.com/ticker/SOXX/)|iShares Semiconductor ETF|Semiconductor Infrastructure (ASML, TSM)|$12B|Recovering from Q1 tariff-driven pullback|Moderate-High| |[SMH](https://tickeron.com/ticker/SMH/)|VanEck Semiconductor ETF|Semiconductor Infrastructure (ASML, TSM)|$22B|TSMC and ASML are top holdings|Moderate-High| |[QQQ](https://tickeron.com/ticker/QQQ/)|Invesco Nasdaq-100 ETF|Enterprise AI + Mega-Cap Tech (MSFT, GOOGL)|$300B+|Broad tech recovery play|Moderate| |[IGM](https://tickeron.com/ticker/IGM/)|iShares Expanded Tech Sector ETF|Enterprise AI Platforms (MSFT, GOOGL, ADBE)|$5B|Reflects tech AI recovery|Moderate| |[XLF](https://tickeron.com/ticker/XLF/)|Financial Select Sector SPDR|Financial Infrastructure (V, MCO, SPGI)|$40B|Benefiting from credit cycle|Low-Moderate| |[KRE](https://tickeron.com/ticker/KRE/)|SPDR S&P Regional Banking ETF|Financial Services Complement|$3.5B|Rate-sensitive; recovery potential|Moderate| |[KBWB](https://tickeron.com/ticker/KBWB/)|Invesco KBW Bank ETF|Financial Infrastructure Broader Exposure|$1.8B|Financial recovery play|Moderate| |[IHI](https://tickeron.com/ticker/IHI/)|iShares U.S. Medical Devices ETF|Healthcare Technology (ISRG)|$5B|ISRG is largest or near-largest holding|Low-Moderate| |[IGV](https://tickeron.com/ticker/IGV/)|iShares Expanded Tech-Software ETF|AI-Native Platforms (ADBE)|$8B|Recovering from 30% Q1 2026 selloff|Moderate-High| |[CIBR](https://tickeron.com/ticker/CIBR/)|First Trust NASDAQ Cybersecurity ETF|AI-Native Public Safety / Digital Infrastructure|$7.7B|Defensive outperformer in 2026|Moderate|   # 2026 Predictions: By Group and by ETF # Group 1 — Semiconductor Infrastructure ([ASML](https://tickeron.com/ticker/ASML/), [TSM](https://tickeron.com/ticker/TSM/)) **TREND: Up** | Upside 20–40% | **Volatility: Moderate-High.** ASML and TSMC are the two most critical infrastructure nodes in the global AI buildout. Every AI chip, every data center GPU, every edge AI processor runs through their equipment or their fabs. The 2026 headwind — geopolitical risk from U.S.-China trade tensions limiting ASML's China sales and creating Taiwan geopolitical uncertainty for TSMC — is already substantially priced in at current levels. ASML's €38.8 billion backlog provides multi-year revenue visibility regardless of geopolitical noise. TSMC's 2nm production ramp and CoWoS packaging capacity expansion are the supply-side events that will drive the second half of 2026. The AI chip demand cycle is not slowing — it is accelerating as inference workloads scale globally. # Group 2 — Enterprise AI and Cloud Platforms ([MSFT](https://tickeron.com/ticker/MSFT/),  # [GOOGL](https://tickeron.com/ticker/GOOGL/)) **TREND: Up** | Upside 15–35% | **Volatility: Moderate.** Microsoft and Alphabet are the two most diversified full-stack AI companies in the world — each controlling the distribution (enterprise software/search), the compute (Azure/Google Cloud), and the model layer (Copilot/Gemini). The primary risk for  [MSFT ](https://tickeron.com/ticker/MSFT/) is CapEx execution: the company has committed to massive data center buildout, and if AI revenue monetization lags investment, multiple compression follows. The primary risk for  [GOOGL ](https://tickeron.com/ticker/GOOGL/) is regulatory: a forced restructuring of its search distribution agreements would materially impair the business model. Absent those tail risks, both companies are positioned for continued AI-driven revenue compounding through Q3 and Q4 2026 earnings cycles. # Group 3 — Financial Infrastructure ([V](https://tickeron.com/ticker/V/), [MCO](https://tickeron.com/ticker/MCO/), [SPGI](https://tickeron.com/ticker/SPGI/)) **TREND: Up** | Upside 15–30% | **Volatility: Low-Moderate.** The financial infrastructure group is the most defensively positioned of the five groups — their revenues are structurally tied to economic activity (payments, debt issuance) rather than discretionary technology spending. Visa's $200 trillion non-card payments expansion is a multi-year growth catalyst that the market has not fully priced. Moody's Q1 2026 record results — 53.2% Adjusted Operating Margin and raised share repurchase guidance — confirm the business quality. S&P Global's 32% pullback from 2025 highs created a valuation opportunity; the company's expansion into private credit markets adds a secular growth layer to the existing ratings and indices franchise. AI-driven efficiency gains across all three companies will expand margins through 2026. # Group 4 — Healthcare Technology ([ISRG](https://tickeron.com/ticker/ISRG/)) **TREND: Up** | Upside 15–25% | **Volatility: Low-Moderate.** Intuitive Surgical's da Vinci 5 launch cycle is the primary 2026 revenue catalyst — new system placements expand the installed base while driving higher instrument attachment rates. Procedure volumes are growing globally as robotic-assisted surgery penetrates new geographies and surgical specialties. The Ion lung biopsy and SP single-port platforms extend the addressable market beyond the core general surgery and urology segments. ISRG is among the most defensive high-growth positions in healthcare — the recurring instrument and service revenue base provides downside protection while system placements provide upside optionality. Barclays' Overweight rating with a $651 target reflects the structural quality of the business. # Group 5 — AI-Native Platforms ([ADBE](https://tickeron.com/ticker/ADBE/), [AXON](https://tickeron.com/ticker/AXON/)) **TREND: Up (divergent paths)** |  [ADBE ](https://tickeron.com/ticker/ADBE/) Upside 25–50% (recovery thesis); [AXON ](https://tickeron.com/ticker/AXON/) Upside 20–35% (growth continuation) | **Volatility: High.** Adobe and Axon represent opposite positioning within this group. Adobe is a turnaround and re-rating thesis — the 36.9% 1-year decline has created a valuation entry point if Firefly monetization (ARPU expansion through AI credits) becomes visible in Q2–Q3 2026 earnings. Axon is a growth continuation thesis — 27%–30% revenue guidance, $14.4 billion contracted backlog, and Draft One adoption compounding across law enforcement agencies globally support premium multiples. The primary risk for Adobe is continued AI disruption narrative; the primary risk for Axon is execution against elevated growth expectations.   # ETF Predictions [SOXX](https://tickeron.com/ticker/SOXX/)**:** **TREND: Up** | 20–35% upside | **Volatility: Moderate-High.** The broadest semiconductor ETF with meaningful ASML and TSM exposure. AI chip demand secular tailwind is intact; near-term geopolitical noise around Taiwan and export controls creates buying opportunities rather than structural impairment. [SMH ](https://tickeron.com/ticker/SMH/)**:** **TREND: Up** | 20–35% upside | **Volatility: Moderate-High.** TSMC is the largest holding; ASML is top 5. The highest-quality expression of AI chip infrastructure exposure among semiconductor ETFs. The largest AUM in the category provides institutional liquidity. [QQQ ](https://tickeron.com/ticker/QQQ/)**:** **TREND: Up** | 15–25% upside | **Volatility: Moderate.** Microsoft and Alphabet together represent a significant portion of QQQ's weight. The Nasdaq-100's AI-heavy composition makes it the primary large-cap vehicle for the enterprise AI recovery theme. Lower volatility than single-sector ETFs due to diversification across names. [IGM ](https://tickeron.com/ticker/IGM/)**:** **TREND: Up** | 15–25% upside | **Volatility: Moderate.** Expanded tech mandate captures MSFT, GOOGL, and ADBE simultaneously. Less concentrated than pure-play sector ETFs; suitable for investors seeking broad exposure to the AI platform recovery. [XLF ](https://tickeron.com/ticker/XLF/)**:** **TREND: Up** | 10–20% upside | **Volatility: Low-Moderate.** Visa, Moody's, and S&P Global are among XLF's largest holdings. The financial infrastructure monopolies provide the most defensive exposure in this group. Rate environment stabilization and debt issuance cycle recovery support the Moody's and S&P Global components. [KRE](https://tickeron.com/ticker/KRE/)**:** **TREND: Up (rate-dependent)** | 10–25% upside | **Volatility: Moderate.** The rate environment is the primary driver. Credit cycle normalization and stabilizing regional bank balance sheets support a recovery from 2025 lows. Complements the financial infrastructure thesis with broader banking exposure. [KBWB](https://tickeron.com/ticker/KBWB/)**:** **TREND: Up** | 10–20% upside | **Volatility: Moderate.** The broader bank ETF benefits from the same financial recovery thesis as KRE but with large-cap bank anchor positions that provide stability. Best for investors who want financial sector recovery with lower single-name concentration risk. [IHI](https://tickeron.com/ticker/IHI/)**:** **TREND: Up** | 15–25% upside | **Volatility: Low-Moderate.** Medical device companies are among the most defensively positioned growth assets in the current environment. ISRG's weight in IHI makes it a direct proxy for the robotic surgery expansion thesis. The da Vinci 5 launch cycle provides a multi-quarter catalyst for IHI performance. [IGV](https://tickeron.com/ticker/IGV/)**:** **TREND: Up (recovering)** | 20–40% recovery upside | **Volatility: Moderate-High.** Adobe's weight in IGV means Firefly monetization is a direct IGV catalyst. The 30% Q1 2026 selloff in the broader software sector created the best software ETF entry point since 2008. Goldman Sachs' April note and the subsequent 6.9% two-day rebound confirm that institutional buyers are positioning for the recovery. [CIBR](https://tickeron.com/ticker/CIBR/)**:** **TREND: Up** | 15–20% upside | **Volatility: Moderate.** At $7.7 billion AUM, CIBR is the most liquid cybersecurity ETF in the market. Its outperformance versus general software ETFs in Q1 2026 reflects the structural demand growth for AI-enhanced cybersecurity tools. Complements Axon's public safety AI positioning with broader digital infrastructure protection exposure.   # How Tickeron's AI Trading Bots and FLMs Analyze Monopoly Stocks The ten companies in this report share one critical characteristic for algorithmic trading: they operate in environments where the fundamental business is structurally stable, but the stock price is subject to sector-wide narrative-driven volatility. That creates the precise environment where Tickeron's Financial Learning Models (FLMs) generate the most alpha — identifying divergences between price action driven by macro narrative and the underlying fundamental trajectory of the business. Tickeron's  [AI Trading Agents](https://tickeron.com/app/ai-robots/virtualagents/all/) are built on FLMs that process sector-specific inputs simultaneously: technical price signals, earnings momentum, macro correlations, and sector rotation patterns. Unlike static algorithmic systems, FLMs are adaptive — they dynamically activate models that are performing well under current market conditions and deactivate models that are not. This is particularly relevant for the five groups in this report: each group has distinct volatility drivers (geopolitical for semiconductors, regulatory for Big Tech, rate-cycle for financials, procedure volume for healthcare, growth execution for AI-native platforms), and FLMs capture those sector-specific dynamics rather than applying uniform rules across dissimilar business models. The performance record reflects this differentiation. The DELL AI Trading Agent has generated a **+265% annualized return with an 82.31% win rate** on a 5-minute timeframe. The Semiconductor Manufacturing Agent — tracking names directly relevant to the semiconductor infrastructure group — has produced **+112.88% annualized returns with a 72.93% win rate**. The Semiconductor Leaders Agent covering  [NVDA](https://tickeron.com/ticker/NVDA/), [AVGO](https://tickeron.com/ticker/AVGO/), [AMD](https://tickeron.com/ticker/AMD/), [TSM](https://tickeron.com/ticker/TSM/), and [MU ](https://tickeron.com/ticker/MU/) has generated **+78.26% annualized with a 60.75% win rate** — capturing the AI chip infrastructure theme directly. AI Agents deployed in leveraged sector vehicles like  [GGLL](https://tickeron.com/ticker/GGLL/), [SOXL](https://tickeron.com/ticker/SOXL/), and [TECL ](https://tickeron.com/ticker/TECL/) have produced **215%+ annualized returns**. FLMs are the differentiating architecture. As Tickeron CEO Sergey Savastiouk, Ph.D. has described: "the next breakthrough in Financial Learning Models — delivering faster cycles, deeper learning, and far more accurate trade execution." FLMs are trained on decades of market data across thousands of sector-specific scenarios — including prior monopoly stock cycles, semiconductor supercycles, and regulatory disruption events — and dynamically apply the models most predictive of current conditions. For the monopoly stocks in this report, the most relevant Tickeron tools are: * [AI Trend Prediction Engine](https://tickeron.com/stock-tpe/) * **:** Provides 80% directional accuracy over a 14-day window — critical for timing entries in volatile monopoly stocks where the business fundamental is sound but the stock price is subject to macro-driven dislocations (ASML on China export news, GOOGL on DOJ headlines, ADBE on AI disruption narratives). * [AI Trading Agents](https://tickeron.com/app/ai-robots/virtualagents/all/) * **:** Sector-specific agents that apply FLM pattern recognition across each of the five groups — semiconductor infrastructure, enterprise AI, financial infrastructure, healthcare technology, and AI-native platforms — for investors who want systematic, rules-based exposure to the monopoly stock thesis. The combination of fundamental monopoly positioning and FLM-powered execution timing is the framework for capturing the 2026 opportunity in these ten companies — entering at narrative-driven dislocations and holding through the fundamental re-rating that the business quality ultimately demands. [https://tickeron.com/trading-investing-101/the-2026-untouchable-leaders-report-10-stocks-with-monopolistic-positions-across-every-sector/](https://tickeron.com/trading-investing-101/the-2026-untouchable-leaders-report-10-stocks-with-monopolistic-positions-across-every-sector/)

*Before diving in, a quick note about who I am and how I put this together. I come from a background in Fire, EMS and Public Safety, though most of that experience predates drones by a couple of decades. I understand the operational world this technology is being deployed into, but I am not a current practitioner or a drone expert. I unabashedly use AI tools to help me research and organize my thinking on these posts, and while I do my best to be accurate, I am genuinely open to being corrected by people who know this space better than I do. If something here is wrong, outdated or missing something important, please say so in the comments. That is literally the point of this place.* As r/DFRDrone gets off the ground (sorry, had to), I wanted to put together a reference post on where the industry actually stands in 2026. This is meant to be a living resource, so please add, correct, or expand in the comments. The DFR market has matured significantly and has split into three distinct categories: Ecosystem Leaders who sell end-to-end solutions, Hardware and Software Specialists who do one thing exceptionally well, and Service Providers who operate programs on behalf of agencies. **The "Big Four" End-to-End Ecosystems** **Axon** acquired Dedrone and now offers what amounts to a complete airspace solution. They can detect rogue drones while managing their own fleet, and everything feeds automatically into Axon Evidence. If your agency is already in the Axon ecosystem, their drone integration is a natural extension. **Flock Safety** acquired Aerodome and is now the leader in trigger-based autonomous deployment. Their system launches a drone automatically based on a license plate hit or gunshot detection, with no human intervention required at the dispatch level. It is the closest thing currently available to true "set it and forget it" DFR. **Skydio** remains the autonomy benchmark. The X10 is the primary US-made DFR hardware platform, with Shadow AI autonomous tracking and 360 degree obstacle avoidance setting the technical standard for the industry. The recent US Army contract signals that their technology has cleared the highest bar for autonomous operation. **BRINC** just launched the Guardian, and it represents a significant leap forward in what a DFR drone can actually do on scene. Eight mile range, Starlink connectivity, a 130 decibel siren and speaker, and the ability to drop life-saving payloads including Narcan and AEDs. BRINC is pushing the category from "eyes on scene" toward active intervention. **Specialized Software and Service Providers** **DroneUp** operates as a full Managed Service Provider. They bring the infrastructure, the pilots and their Uncrew software platform. For agencies that want the capability without building an internal program, DroneUp is the primary option. **Flying Lion** focuses on tactical training and high-end program operations. With over 90,000 missions completed and programs running for agencies like Beverly Hills PD and Brookhaven, they are the most experienced operational partner in the space. **Paladin Drones** takes a different approach, focusing on the dispatch experience. Their Knighthawk platform and Watchtower software are built around one-click deployment, making it practical for 911 dispatchers to launch drones directly without specialized pilot training. **Airspace and Infrastructure** **Dedrone (now part of Axon)** provides the Detect and Avoid layer that agencies need to pursue FAA BVLOS waivers. Proving you can see other aircraft in your operational area is a core requirement for remote operations, and Dedrone is the primary technology making that possible. **Ascent AeroSystems** fills an important niche with their Spirit drone. Its coaxial design handles wind and rain significantly better than traditional quadcopters, making it the platform of choice for agencies operating in challenging weather environments. **Zipline** is transitioning from their medical delivery roots into DFR-as-a-Service. Their P2 platform is exceptionally quiet and optimized for high speed medical response, dropping supplies rather than streaming video. **Three Conversations Worth Having in 2026** First, hardware agnosticism versus walled gardens. Is it better to use open software that flies any drone, or a closed ecosystem like Flock or Axon that offers deeper integration at the cost of flexibility? Second, NDAA compliance has become nearly absolute for federally funded agencies. The shift away from DJI and Autel is no longer a future concern, it is the present reality. This has created a significant opening for US manufacturers and is reshaping procurement decisions across the country. Third, the transition from watching to acting. The category has been dominated by situational awareness since its inception. BRINC's payload-dropping Guardian is the first major move toward active intervention on scene, and it raises important questions about where the technology goes from here. *This is meant to be a starting point, not the final word. What would you add, correct, or push back on?* **EDITED TO ADD: Late Q1 2026 Intelligence Update** *This post is intended to be a living resource, updated as new developments emerge and as the community adds context, corrections and intelligence from the field. Here is the first round of updates:* **DJI: Still the Global Standard, With US Caveats** DJI remains the dominant force in public safety drone deployment worldwide. Outside the United States, agencies across Europe, Asia Pacific, Latin America and beyond continue to operate DJI platforms as their primary DFR and public safety sUAS tools, and for good reason. The hardware is mature, reliable, cost effective and supported by an enormous ecosystem of accessories, software integrations and trained operators. The US regulatory picture is more complicated. New DJI imports are currently blocked under NDAA compliance concerns, but the FCC has confirmed that existing authorized models including the M30, M350 and Dock 2 are safe to fly and will continue receiving updates until at least January 1, 2027. US agencies running DJI hardware have a defined sunset window to plan their transition rather than facing an immediate cliff. The Anzu Robotics situation adds another layer of caution for US buyers specifically. The February 2026 Texas AG lawsuit highlighted the risk of purchasing what appeared to be NDAA compliant hardware that may have contained rebranded DJI components. True domestic supply chain verification now matters more than ever for federally funded US agencies. For the rest of the world, DJI remains the baseline. For US agencies, it is a managed transition. * **BRINC Guardian is officially live (March 24, 2026).** The Guardian and Guardian Station are now in production. The integrated Starlink connectivity directly addresses the cellular dead zone problem that has plagued urban canyon and rural deployments alike. The robotic hot swap system changes batteries and payloads including AEDs and Narcan in under 60 seconds, which is a genuine operational game changer for extended deployments. * **The Anzu Robotics situation is a cautionary tale worth paying attention to.** In February 2026 the Texas AG filed suit against Anzu Robotics, and it has become a critical warning about NDAA compliance transparency. Agencies that thought they were buying domestically compliant hardware may have been purchasing rebranded DJI components. The lesson here is that true domestic supply chain verification matters, not just the label on the box. * **DJI has a "sunset window" that agencies should be planning around.** While new DJI imports are blocked, the FCC has confirmed that existing authorized models including the M30, M350 and Dock 2 are safe to fly and will continue receiving updates until at least January 1, 2027. If your agency is running DJI hardware, you have a defined window to plan your transition rather than facing an immediate cliff. * **Skydio NightSense closes a significant gap.** The Vision Hub and NightSense updates have finally leveled the playing field for low light autonomous navigation. This was one of the most cited operational limitations of US-made DFR platforms in 2025 and it has now been meaningfully addressed. * **Skydio gets FAA approval for one pilot to fly four drones simultaneously (March 26, 2026).** The FAA has created a streamlined waiver pathway for multi-drone BVLOS operations, and 12 public safety agencies have already been approved including NYPD, San Francisco PD and Oklahoma City PD. A single Pilot in Command can now legally operate up to four X10 drones at once. The staffing math here is significant. Programs that previously required one pilot per drone can now multiply their coverage without adding headcount, which directly addresses one of the biggest operational and budget obstacles to scaling a DFR program.

There are several, and the space is growing rapidly, but has matured enough that it's probably helpful to break providers into three categories, because what each agency needs depends on a lot of factors: End to End Ecosystems (hardware, software and integration) - **Axon**: Data integration giant. Their recent Dedrone acquisition gives them a complete airspace picture plus automatic upload to Axon Evidence. - **Flock Safety**: Acquired Aerodome and is now the leader in trigger-based autonomous launch. The drone deploys automatically on a license plate hit or gunshot detection. - **Skydio**: The autonomy benchmark. The X10 is the primary US-made DFR hardware, with Shadow AI tracking and 360° obstacle avoidance setting the standard. - **BRINC**: Tactical focus. The new Guardian has an 8-mile range, Starlink connectivity which eliminates "out of range" limits, and can deliver payloads like Narcan or AEDs. Software and Managed Services - **DroneUp**: Full MSP model. They bring the hubs, pilots and software. Best for agencies that don't want to operate their own program. - **Flying Lion**: Tactical training and operations. Over 90,000 missions completed, running programs for agencies like Beverly Hills and Brookhaven. - **Paladin Drones**: Their Knighthawk platform focuses on one-click dispatch, making it easier for 911 dispatchers to deploy directly. Airspace and Infrastructure - **Dedrone (by Axon)**: The Detect and Avoid layer. Critical for agencies pursuing FAA BVLOS waivers. - **Ascent AeroSystems**: Niche but important. Their Spirit drone handles wind and rain better than traditional quadcopters. - **Zipline**: Coming from medical delivery roots, transitioning to DFR-as-a-Service for high speed medical response. One thing worth noting in 2026 is that NDAA compliance has become nearly absolute for federally funded agencies. This has effectively ended DJI and Autel consideration for most programs and opened the door wide for US manufacturers. The overlap you mentioned across agencies is real. The best platforms are explicitly designed to serve fire, EMS and LE from a single deployment model.

To make it easy, since 2014-2015 when WAPol first trialled bodyworn camera, they’ve used th Axon Evidence.com digital evidence management system, like the majority of police forces across the world. Evidence.com doesn’t allow evidence to be edited, just redacted. There’s audit trails etc. to see who has accessed it etc. Procedure is for police at the end of a shift to upload recorded footage for the day. When tickets are elected to go to court, it takes 4-6 weeks to get back to the issuing officer, who then downloads the footage, creates the trial brief and serves disclosure. If the disclosed footage doesn’t match the held footage, it’s pretty easy to identify. And would risk the cops career, and potentially criminal charges. For a ticket. For things to happen as OP alleges, the issuing officer would have had to edit the footage before it was uploaded, 4-6 weeks before he was aware OP was taking it to court, amongst the dozens to hundreds of other tickets they would have written, because the only cops not wearing Axon products are unmarked motorcycle police who target mobile phones, seatbelts and e-scooter/bike offences.

It's important to remember Flock is not the only company in this space. The industry as a whole needs to die. Here's an AI snippet of other companies directly competing with Flock. I have not review this in detail, so please dig into this further to vet. ‐------ Top Competitors for Law Enforcement (ALPR/Surveillance) Axon (Dedrone/Axon Evidence): Often cited as a primary competitor, especially with their integration of bodycam footage and recent acquisitions in AI surveillance. Motorola Solutions: Provides a wide array of AI-powered security cameras, radio systems, and ALPR technology for law enforcement. Palantir: Mentioned in context with providing analytics and data integration for law enforcement, often working in conjunction with or competing for the same intelligence-driven policing market. Vigilant Solutions (now part of Motorola): Long-time player in the Automatic License Plate Reader (ALPR) space. LVT (Live View Technologies): Known for mobile surveillance trailers equipped with cameras, often used for parking lot security.  --------