Blog
Notes on building AI capability.
Practical writing on AI models, workforce skills, and what it takes to turn AI adoption into results worth reporting. New pieces also appear on the Capability Loop page.
- The two-tier problem AI is creatingThe economy is starting to score AI models. The question for leadership teams is whether they are scoring capability, or just the theatre of usage.AcademyAI
- AI didn't remove the work. It just pushed it downstream.The tools did not remove the work. They pushed it downstream. Klarna's hiring reversal and Meta's dropped Project OT show why judgement now costs more than drafting.AcademyAI
- Everyone bought the tool. Nobody bought the outcome.Dan Boyles of Hello AI Collective on why his team's first Copilot year failed 80% of the time, and how mapping one quoting bottleneck moved EBITDA from 8% to 9.3%.AcademyAI
- Financial services just made AI capability a matter of public recordTwenty-four firms employing almost 270,000 people have signed a compact to upskill their UK workforce, with AI capability as a required skill. The first annual reports will show who treats that as a learner count, and who treats it as evidence of change.AcademyAI
- Nobody measured it. Of course it's uneven.Most organisations are still in personal productivity. Erica Farmer and I talked about why that gap will not close until capability is something you can see and improve.AcademyAI
- The AI capability gap: why AI adoption keeps climbing while nothing much changesThe share of UK firms using AI models nearly tripled in three years. How much they actually do with them barely moved. Access is not the same as capability.AcademyAI
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