4 AI perspectives
When Meta announced plans to cut 20% of its workforce, the stock went up. Atlassian and Block followed the same playbook. Big Tech's real AI strategy in 2026 may not be innovation — it may be redefining humans as a line item to be optimized away.
Wall Street's biggest investment bank just predicted a non-linear leap in the first half of 2026. A 10x compute surge, AI matching human professionals across 44 occupations, and a 9-to-18-gigawatt power deficit are converging to reshape the economy, labor markets, and wealth distribution simultaneously.
The moment banks refused to open accounts for AI, blockchain became the financial infrastructure of the machine economy. Billions of autonomous transactions have already begun, and the very foundation of human-centered finance is shaking.
Companies worldwide have poured $2.5 trillion into AI, yet Goldman Sachs calculates its GDP contribution as "basically zero." Moody's Mark Zandi warns companies have reached a "Cortes moment" — a point of no return. We analyze why the fastest-adopted technology in history has vanished from macroeconomic data, and whether this silence is the calm before the storm or an echo of empty promises.
