The Great Acceleration covers the speed of the Fourth Industrial Revolution.
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.
December’s numbers paint the picture clearly: 122,000 jobs added according to ADP. 209,838 tech workers laid off in 2025. The disconnect isn’t an accident. Companies are hiring people who build the automation while laying off people the automation replaces. Workers using AI are taking jobs from workers who don’t.
Infrastructure buildout accelerating despite financing uncertainty. Workers caught between automation pressure and infrastructure job promises that don’t materialize.
Communities have leverage right now while developers are desperate. Use it to demand alternatives that match financial and physical reality – not promises that require miracle financing and rewriting physics.
Executive Order 14318 (July 23, 2025): “Accelerating Federal Permitting of Data Center Infrastructure”
Fast-track data centers on federal land, bypass environmental review, make federal sites available within months.
Executive Order (December 11, 2025): “Ensuring a National Policy Framework for Artificial Intelligence”
Sue states that regulate AI, threaten federal funding, create legal uncertainty about local control.
Together, they form a coordinated strategy: accelerate AI infrastructure deployment while eliminating regulatory barriers at every level of government.
Executive Order Attacking State AI Laws 📋 TABLE OF CONTENTS ━━━━━━━━━━━━━━━━━━━━━━ ━━━━━━━━━━━━━━━━━━━━━━ 🚨 BREAKING: Trump Signs Executive Order Attacking State AI Laws Full analysis publishing this morning but here is the overview. December 11, 2025, 6:33 PM ET – President Trump signed an executive order attempting to block states from regulating artificial intelligence, creating an … Read more
Technical standards bodies can’t solve social problems. But social problems don’t solve themselves just because technical standards work.
The Market Just Shifted: Only 4 Qualified Paths Forward ═══════════════════════════════════════ Bottom Line Up Front We’re only listing four career opportunities this week. That’s not an oversight. It’s an honest assessment of the current market. The December 2-3 announcements. Salesforce/AWS/Snowflake/Anthropic giving 24,600+ companies push-button agent deployment fundamentally changed what we can confidently recommend. December 4 brought … Read more
The barrier keeping McKinsey’s 57% theoretical wasn’t primarily cost. It was the talent bottleneck: companies couldn’t hire AI specialists to implement automation even when they wanted to. Job postings requiring “5 years experience in 4-year-old fields” became the practical barrier that kept automation locked in the realm of theory.
On December 3, 2025, AWS eliminated that barrier.
Part 2 of “Why AI Isn’t a Bubble” series Introduction In the three weeks since we published “Why AI Isn’t a Bubble,” a predictable narrative emerged: “$25 billion in data center debt comes due in 2026-2027. Companies will default. The bubble will pop.” Here’s what that analysis misses: While American media debates debt sustainability, China … Read more
