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The Reaction.

Every week we read the research, the standards and the news on how work is changing, and keep only what bears on our thinking. Each item says what happened, why it matters, and whether it supports or challenges the idea.

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What we watch

Six areas, one question: how will work be put together?

Work coming apartJobs being taken apart into skills, tasks and capabilities; fractional and gig work.

AI that does the workAgents doing real tasks: results, benchmarks and failures.

Registries and standardsAgent cards, capability registries, skills taxonomies, marketplaces of work.

Twins of organisationsOrganisations modelling themselves: digital twins, process mining, enterprise models.

New theoriesResearch on firms, coordination, management and the economics of AI and work.

Trust, law and dataAccountability, employment status, AI law, data ownership and data trusts.

How an item gets in. Software gathers new papers and articles from our sources and scores them against the six areas. An AI reads the best ones and drafts what happened and why it matters, using only the item itself. A person then checks every one before anything is published or emailed. Sources: arXiv, NBER, MIT Sloan Management Review, Harvard Business Review, MIT Technology Review, the UK science department, AI labs’ own news, the release notes of the A2A and MCP standards, and writers on work and AI.

The six areas follow the argument in the flagship paper. Spotted something we missed? Send it to us.