Andreessen, Microsoft, Uber and an Nvidia VP confirm per-token AI doesn't scale. Eric Ries this same week named the structural fix that closes the loop.
Anthropic found 10,000+ critical vulnerabilities in a month. Only 75 of 530 reported have a patch. The bottleneck moved from finding to deciding.
ClickUp opened $1M cash bands for AI-orchestrating engineers. The same week Microsoft killed Claude Code internally and Uber burned its 2026 AI budget.
Bill Winters said AI will replace 'lower-value human capital.' Gartner published the receipts two weeks earlier: 80% of orgs cut, zero ROI correlation.
Alex Wang named the symptom this week: AI moves the bottleneck instead of removing it. Eli Goldratt diagnosed this 42 years ago and left the cure.
Three token-bill incidents in 14 days. The pattern isn't runaway usage. It's surface area: dormant credentials, silent vendor changes, context noise.
Peter Steinberger spent $1.3M on tokens in 30 days. Riaz Khan replied on LinkedIn with the KPI that actually measures enterprise AI: tokens-per-shipped-feature.
OpenAI launched Deployment Co. Anthropic hit $45B ARR. Stripe embeds 1 AI engineer per 20 employees. Prices aren't falling. The delivery stack changed.
Aaron Levie, Gergely Orosz, and Eric Siu published the same thesis in 36 hours: building got commoditized. Owned distribution loops are the 2026 moat.
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