All of my long-form thoughts on AI, programming, product development, and more, collected in chronological order.
Multiple studies show that workers who use AI are judged as lazier, less skilled, and more replaceable — even when their output is identical. This ancient cognitive bias is silently crippling AI adoption by driving the most productive behaviour underground.
AI makes you faster at your job today while quietly degrading your ability to know when the job was done wrong. The more you delegate, the less equipped you are to catch the mistakes that matter.
Humans telegraph uncertainty through hesitation, hedging, and tone. AI delivers hallucinated nonsense with the same polished authority as correct answers. Organisations built to read confidence as competence have no antibodies for this.
AI narrows the performance gap between junior and senior workers. That sounds like progress — until you realise nobody is building the expertise that made senior workers valuable in the first place.
The 5% of companies seeing real returns from AI spend 70% of their effort on process redesign and organisational change, not on the technology. Everyone else is repeating the same mistake factories made when they swapped steam engines for electric motors but kept the old floor plan.
Your processes work because your people compensate for them. AI can't compensate — so every dysfunction your team has been quietly routing around becomes a blocking error the moment you deploy it.
Most AI projects fail — and the failure itself is the most valuable thing they produce. When AI breaks down in your organisation, it's pointing directly at the structural problems you need to fix.
BCG found that only 5% of companies generate substantial value from AI, despite widespread adoption. The difference isn't which tools they bought — it's whether they redesigned how work gets done or just made broken processes run faster.
AI has made execution nearly free. Most companies respond by producing more mediocre output, faster. The winners invest the surplus in judgment — knowing what to build, what to ship, and what to kill.
AI makes generating output almost free. But every AI output still needs checking — and checking doesn't scale with compute. The verification tax is the hidden cost most businesses ignore when deploying AI.