Showing 1–12 of 18 articles tagged Operating Models

Product management is escaping tech. HVAC companies, PE portfolios, regional banks, and schools are about to hire their first PM. The discipline is leaving.

Alignment mechanics were scaffolding for moving information through slow orgs. Agents move it instantly. What's left is the conviction the scaffolding hid.
Teams shipping 10x more product aren't hiring more designers. Design still matters; most orgs just hire for the wrong part of it.

Success in the old operating model is a reinvention tax. The senior leaders who mastered roadmap theatre and stakeholder alignment struggle most to adapt.

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.

The top AI user in high-performing companies isn't engineering — it's the CMO. Here's why that's the real signal for whether AI adoption has reached the decision layer.

Growth teams trained in linear markets spend 70% on small experiments. In exponential markets, that allocation captures a rounding error.

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.