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.
Anthropic shipped dreaming in agents on May 6. The difference between AI that compounds and AI that plateaus is architectural, not model-driven.
Greg Isenberg and Mengto made the same case on May 6. A brand an agent can't read in 30 seconds is not a brand. It's a PDF.
Brian Armstrong cut 14% and rebuilt the company AI-native on the same Tuesday, two days before Q1 earnings. Sam Altman named the pattern in February: AI-washing.
Andrew Chen and Aakash Gupta said the same thing from different microphones. When building got cheap, deciding what to build became the new scarcity.
Aaron Levie and Daniel Miessler shipped the same diagnosis from opposite angles. Companies that can't describe themselves won't get value from AI.
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