AI Strategy &amp; Leadership

Every Team Has a Barrel Problem. AI Just Exposed It.

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

14 Apr8 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.

13 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.

12 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.

11 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.

9 Apr9 min read

AI Multiplied Your Engineers. Your PMs Are Drowning.

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

8 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.

4 Apr10 min read

Build Speed Is No Longer the Bottleneck. Judgment Is.

When prototypes take hours not weeks, the bottleneck is not engineering any more. It is judgment: which option deserves trust, testing, and investment.

3 Apr10 min read

AI Productivity Doesn't Free Time. It Monetises Ambition.

AI productivity does not hand ambitious builders spare time. It increases the number of bets, side projects, and decisions they can pursue each week.

2 Apr9 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.

1 Apr6 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.

30 Mar13 min read