Every Major AI Company is Building Workforce Training Pipelines
The “stable 30-year career” is dead. The question isn’t whether change is coming – it’s whether you’ll be ready when it does.
Under the Radar: Navigating AI Disruption
Careers and Gigs that aren’t quite on the radar (Yet!)
Workers Squeezed While Companies Coordinate: Jobs Data, WARN Notices, and Compressed Career Timelines
UNDER THE RADAR Friday, February 13, 2026 BOTTOM LINE UP FRONT Thursday’s employment data confirms what workers already feel: Continuing claims hit 1,862K – people staying unemployed longer as reemployment gets harder. WARN Act notices show 852 job losses per day (up 51% from 2025), with companies explicitly citing “AI and automation” for cuts. Meanwhile, … Read more
What Happens When Your Utility Company Owns the Data Center Using All the Power?
When the same capital entities own multiple layers, competitive constraints may weaken, creating opportunities for extraction without traditional market checks.
UNDER THE RADAR Friday, February 6, 2026
Individual retraining is insufficient. Going solo means competing with AI for scraps.
They’re Saying It Out Loud Now – Under the Radar January 30, 2026
This is what structural unemployment looks like. It’s not individual failure. It’s systemic failure.
UNDER THE RADAR – Friday, January 23, 2026
We acknowledge something uncomfortable. Individual career intelligence helps the 20-30% of workers who have runway, capability, and time to transition. For the other 70%? We need systemic solutions we can’t provide through career advice alone.
THE EXTRACTION PROTOCOL: Why AI Infrastructure Is About Control, Not Compute
This article examines why companies are building massive centralized AI infrastructure for workloads that don’t technically require it, who profits from that choice, and what communities need to understand before approving deals that subsidize extraction infrastructure instead of supporting adaptation alternatives.
Under the Radar – January 9, 2026
While Meta signs multi-gigawatt nuclear deals and communities approve billion-dollar data centers, Swiss researchers proved that 80-90% of AI work doesn’t need massive facilities at all. It is now capable of running on 4-10 computers locally.
Inflection Point: Why AI’s Future Looks Like 1995, Not 2026
When technology hits the “good enough AND cheaper” threshold, change happens FAST. Distributed computing didn’t gradually replace mainframes over 20 years—it happened in 3-5 years once the technology crossed that line.
We just crossed that line. Last week.
Under the Radar – January 3, 2026
Career Intelligence for Workers Navigating AI Transformation A Note on Timing Under the Radar continues to adapt. Starting today, Under the Radar publishes at 5:00 PM ET on Fridays instead of our previous morning schedule. Why? The most important employment data releases happen Friday mornings at 8:30 AM ET – initial jobless claims, and on … Read more
