Enterprise AI

30,000 Out. 8,000 In. The Great PM Cull Is Underway.

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.

1 May10 min read

You'll Get the AI Org Design Wrong Twice

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

20 Apr6 min read

Enterprise AI Adoption Fails at the Harness, Not the Model

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.

17 Apr6 min read

AI Adoption Metrics Are Broken. Watch Your CMO.

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.

13 Apr7 min read

Leave Money on the Table. It Grows Back.

The best AI growth teams deliberately sacrifice short-term metrics. Restraint on pricing, error handling, and safety compounds into retention and trust.

10 Apr10 min read

AI Product BuildingDeep dive

You Can't Vibe Code Your Way to SAP

Enterprise software encodes decades of domain knowledge across every architectural layer. Vibe coding can't shortcut what took thousands of people 25 years to accumulate.

8 Apr10 min read

Micro-Optimisation Is a Trap When Your Market Is Exponential

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

6 Apr9 min read

Agentic AI Security: Why 97% Detection Is a Failing Grade

A 97% attack detection rate sounds fine until an agentic system has tool access, private data, and a path to action. Then it is a breach rate.

23 Mar10 min read

Capable Is the New Unacceptable: Zapier's AI Fluency Rubric

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.

16 Mar6 min read

94% Capable. 33% Deployed. The Gap That Explains Everything.

Anthropic research reveals a 61-point gap between AI capability and actual deployment. That gap explains why the workforce apocalypse has not arrived yet.

9 Mar13 min read

AI Product Building

Your AI Budget Line Is Wrong. Tokens Are the New Headcount.

Engineering teams spend more on AI tokens than junior salaries. The cost structure of building software has inverted and most finance teams missed it.

6 Mar7 min read