Strategic thinking on AI adoption, resource allocation, and leading through technological transformation.
AI systems exhibit the same trap — heavy training breeds overconfidence. The more AI "knows," the more its outputs need adversarial pressure-testing before you trust them.
AI makes self-deception faster and more convincing — LLMs generate sophisticated rationalisations for beliefs you already hold, making the psychology of overconfident pitches harder to escape than ever.
AI makes number-generation effortless. That makes the human skill of knowing which numbers to interrogate — and which to discard — more valuable, not less.
LLMs trained on MBA case studies inherit their biases, overfitting to famous success stories. Real-world principles still trump classroom theory — and now they trump AI theory too.
Market-analysis AI surfaces large TAM opportunities by default, reinforcing exactly the trap that kills early-stage businesses. Niche dominance is still the smarter bet.
AI compresses experiment cycles dramatically. But framing the right question — the elegant part — remains the irreducible human edge that not knowing gives you.
AI-powered hiring tools make external recruitment faster and cheaper. That makes internal cultivation even more differentiated — and the gardener's patience even rarer.
AI transcription and summaries reduce meeting friction — which risks making coordination theatre more palatable rather than less frequent. The tax doesn't disappear; it hides.
AI deal-screening optimises for deals that resemble past winners. The deals that would break you often look attractive to the model — judgment still has to make the final call.
Real-time AI performance dashboards accelerate praise cycles, compressing the gap between early promise and premature promotion — before leadership at scale is ever proven.
Leaders who can't relinquish control to people will become bottlenecks to AI-agent adoption too. The psychological shift is identical — and the stakes are higher.
AI management tools intensify Goodhart's Law — optimised for measurable outcomes, they make the unmeasurable (culture, judgment, trust) easier than ever to ignore.
