16 essays on AI leadership, engineering, and where value comes from. Newest first. Read them in order from // 001 and you'll watch a prediction become a playbook. Subscribe via RSS →
Satire. Apex Dynamics retires 'find ways to use AI' and hires a consultancy to produce an AI Opportunity Map, a 127-page slide deck, and a plan to plan. Everything my essays argue against, filed with a straight face.
Read →Tokens aren't a cost problem. They're a guidance problem. The winners won't have the lowest AI bill - they'll generate the most value per token.
Read →We automated the junior grind and deleted the curriculum with it. Owning outcomes, real mentorship, AI as the tutor - rebuilding it is a leadership job.
Read →Not seeing the gains and spending too much on tokens are the same problem. Stop applying AI everywhere. Aim the tokens where the value is.
Read →Pilots everywhere, gains nowhere. ICs accelerate tasks - only senior leaders can redesign how work flows across teams. You can't redesign what you don't understand.
Read →Keynes was half right. Competitors don't let productivity gains become leisure. AI just moved the baseline - run at a pace that compounds.
Read →The real risk isn't overuse - it's underuse. Your company handed you a superpower budget. Spend it deliberately, learn fast, iterate faster.
Read →How AI actually lands in a 1000+ person engineering org. Two years of doing this. It's coming together rapidly.
Read →Distributed leadership isn't a logistics problem - it's a clarity problem. What actually works when your team's working day starts 12 hours apart.
Read →The biggest drag on leadership is waiting on information. AI is about to remove the wait entirely with the speed of insight.
Read →AI is coming for every profession. It's time for everyone to begin thinking about what matters most in their job roles.
Read →Standard power law trackers show where price sits in the channel today. These two indicators ask a different question: how much weighted history of deviation has accumulated, and what does that imply for future price.
Read →AI is compounding risk at exponential levels. Invest in your test infrastructure with urgency. The age of software abundance demands it.
Read →You are not just a programmer. You don't simply translate from human language to computer language. You are an engineer.
Read →Don't miss this one. How agentic AI is shifting from a chatbot you talk to into infrastructure that works for you. Are you positioned for this shift?
Read →This was a prediction. Now it's happening. What it means for engineers, teams, and companies who want to still be relevant next year. A call to action.
Read →