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Field Notes on Building AI Capability Across a Business
Practical writing and actionable tips on how to develop workforce skills, transform businesses, and how you can turn AI adoption into results worth reporting.
- Measure AI capability, not tool accessRolling out licences is easy. Building a workforce that can use them well is not. Lessons from a LinkedIn Live with Erica Farmer on measuring capability rather than tool access.AcademyAI
- 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
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