9 articles tagged AI Native Org

Alignment mechanics were scaffolding for moving information through slow orgs. Agents move it instantly. What's left is the conviction the scaffolding hid.

The 2024–2026 layoff cycle isn't a ZERP correction. It's a talent swap at a 3.75:1 ratio, with an entirely different skill filter. Most discourse misses it.

Most enterprise AI teams centralise first, then decentralise. Both fail. Here's the hub-and-spoke structure that actually works.

Keith Rabois' barrels vs. ammunition framework reframes what AI changes about teams. More ammunition without more barrels solves the wrong problem.

90%+ enterprise AI tool access, most people stuck in chat. The rollout bottleneck isn't the model. It's the harness. Here's the product fix.

AI coding tools tripled engineering output overnight. PM and design headcount stayed flat. The ratio broke, and most orgs haven't noticed yet.

Zapier's V2 AI Fluency Rubric reveals a calibration problem. Most companies' target for AI adoption maps to Zapier's baseline, one step above their minimum.

Unlimited headcount kills AI adoption. One engineer per project, unlimited tokens, and the constraint to figure it out produces the best AI-native work.

AI is breaking the link between revenue growth and headcount growth. Three questions that expose whether your org chart was designed for 2019 or 2026.