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Capability Loop
Capability Loop is about the real work of AI transformation. Stories of how organisations actually build AI capability: the workflows that get rebuilt, the governance that makes them safe to scale, and the measurement that proves it worked.
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LatestL&D's vanity metricRead the latest- A shiny tool looking for a problemLicences, hackathons, and a shared channel are only the opening move. Richard Geary of FloHQ on diagnosing the work before choosing the technology.AcademyAI
- AI usage is widespread but shallowBritish workers are spending nearly £1 billion of their own money on AI tools for work. Deloitte's survey of 25,000 UK workers shows GenAI use is widespread, but still shallow.AcademyAI
- 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
