In partnership with
At the Border Security Expo in Phoenix this week, AI software analyzed attendees' "threat potential" in real time. Cameras mounted miles away distinguished people from animals. Sensors flagged who was carrying a bag versus a weapon. A surveillance drone crashed mid-demo. (The maker blamed a computer error.)
That last part isn't the headline. The headline is what worked.
f you work in fintech or finance, you already have too many tabs open and not enough time.
Fintech Takes is the free newsletter senior leaders actually read. Each week, I break down the trends, deals, and regulatory moves shaping the industry — and explain why they matter — in plain English.
No filler, no PR spin, and no “insights” you already saw on LinkedIn eight times this week. Just clear analysis and the occasional bad joke to make it go down easier.
Get context you can actually use. Subscribe free and see what’s coming before everyone else.
TLDR: Trump's $170B border bill just turned AI surveillance into a gold rush. The capabilities that landed this year — weapon detection from miles out, facial recognition inside moving vehicles, autonomous threat ranking — are already being repackaged for private retail, office towers, and schools. Most workplaces have no policy for what gets captured.
What changed in the past 12 months
The Wall Street Journal called it a "fever pitch." Three forces converged:
The money. The "One Big Beautiful Bill" allocated $170B+ for border and immigration enforcement. $6B is earmarked specifically for surveillance tech. $673M for biometric systems. In February, Palantir got a $1B blanket purchase agreement — meaning CBP, ICE, FEMA, and CISA can buy from them without competitive bidding.
The vendors. PVP Advanced EO Systems told the WSJ that DHS used to be 20% of its business. This year it's 50%. Amazon showed up with a prototype border surveillance pickup truck. WilliamsRDM is making solar panels disguised as rocks to power covert cameras. Anduril is rolling out 198 AI-powered towers — 148 upgrades plus 50 new builds.
The capability. AI now distinguishes weapons from bags from miles away, identifies faces inside moving vehicles, and autonomously alerts agents instead of requiring someone to watch a screen. This isn't perimeter security from 2018. It's something new.
Here's the part that matters for the rest of us: vendors told the WSJ the same systems work in "remote border areas, heavily populated regions, or the U.S. interior." Privacy controls like face-blurring exist — but they're a customer choice, not a default.
If you work in an office tower, manage retail floor space, or run security for any commercial property, the same capability stack is being pitched to you next.
The Prompt (Copy This)
You are a workplace surveillance analyst. Before giving me any output,
interview me ONE question at a time. Wait for my answer before asking
the next. Ask in this order:
1. What's your primary work environment? (corporate office tower, retail
location, warehouse / manufacturing, hospital / medical, school /
campus, remote / home office, mixed / hybrid)
2. What's your role? (employee, manager, owner, security / facilities,
legal / compliance, IT, HR)
3. What surveillance systems have you noticed in or around your workspace?
List anything you can see or know about: security cameras (interior /
exterior), badge readers, parking lot cams, conference room mics,
visitor sign-in tablets, license plate readers, smart TVs in meeting
rooms, ID scanners, productivity-tracking software, anything else.
4. What concerns you most? (personal privacy, employee trust, customer
or patient privacy, compliance / legal exposure, contract negotiations,
vendor lock-in, something else)
5. Any recent change you've noticed? (new cameras installed, new badge
system, vendor switch, AI feature added to existing system, new policy
email)
After I answer all five, give me:
A. A CAPABILITY BRIEFING — for each system I listed, what AI features
are likely active or being added in 2026 (object detection, weapon
detection, behavioral analysis, facial recognition, gait recognition,
audio analysis, productivity scoring) and what each typically captures
and retains. Cite a public source when claiming a specific capability
is shipping in 2026.
B. AN EXPOSURE RATING — low / medium / high — for my specific role and
concern, with a one-line reason.
C. THE FIVE QUESTIONS I should ask my facilities, security, IT, or HR
team — phrased exactly as I'd send them in an email.
D. THE THREE THINGS I SHOULD NOT ASSUME ARE PRIVATE in my workspace,
based on the systems I listed.
Plain English. No jargon. No hedging.
Prompt Proof Table
|
Same Prompt · Different Reader · Different Reality
|
|
Same prompt. YOUR environment. Try it — the answers are not what you'd guess.
|
The drone fell. The cameras didn't. Same AI. Different building. Coming soon to a lobby near you.
|
Sponsored · AdCreative.ai The AI That Scores Your Ads Before You Spend a Dollar1 billion ad creatives generated. Used by Snap, Philips, Reckitt, and 4M+ marketers. Generate banners, product shoots, and video ads in seconds — and get a conversion score on every one before you launch.
Mother's Day promo: 6 months free on yearly plans. Ends in days. |
About This Newsletter
AI Super Simplified is where busy professionals learn to use artificial intelligence without the noise, hype, or tech-speak. Each issue unpacks one powerful idea and turns it into something you can put to work right away.
From smarter marketing to faster workflows, we show real ways to save hours, boost results, and make AI a genuine edge — not another buzzword.
Get every new issue at AISuperSimplified.com — free, fast, and focused on what actually moves the needle.
If you enjoyed this issue and want more like it, subscribe to the newsletter.
Brought to you by Stoneyard.com • Subscribe • Forward • Archive