May 15, 2026: The Guardian documents the tech industry's accelerating purge of middle managers — and history says companies have tried this exact bet before with Jack Welch and the Reengineering movement, with disastrous long-term results. The Wall Street Journal reports companies are drowning in ungoverned AI agents, raising a critical question: is agentic AI actually different from the RPA sprawl crisis of a decade ago, and is the difference showing up in real outcomes? And Yale's Jeffrey Sonnenfeld and NYU's Gary Marcus argue in Fortune that America's 1,200 AI bills have no shared test for what makes good policy — and the regulatory patchwork hardening in place rhymes uncomfortably with the conditions that produced the 2008 financial crisis.

May 14, 2026: Tucker Carlson and Kevin O'Leary debated AI, energy, and jobs yesterday — and O'Leary had the right argument but made the wrong one. Today we break down what he should have said, including the real jobs data, what Jensen Huang is saying about hiring, and why the self-driving truck doesn't eliminate the driver — it transforms the job. Then we look inside Meta, where 8,000 layoffs are coming next week during the most profitable quarter in company history, employees are being surveilled to train their replacements, and some workers are openly hoping to get cut. And we close with a Fast Company piece that reframes the entire talent shortage conversation — the problem doesn't start in HR, it starts in kindergarten, and corporate America is pouring billions into the wrong end of the pipeline.

May 13, 2026: Goldman Sachs President and COO John Waldron went on CNBC and publicly described his entire workforce as a "human assembly line," announcing that digital AI agents will be the firm's robots. Amazon employees are gaming internal AI usage leaderboards by burning meaningless tokens through a tool called MeshClaw — because the pressure to show AI adoption has become greater than the pressure to do actual work. And Princeton University voted to end 133 years of unproctored exams, because AI has made cheating behaviorally invisible and the peer accountability system that underpinned one of the most respected honor codes in American higher education has structurally collapsed.