The reports worth an afternoon, taken seriously at length — on AI, organisations, interaction, and the enterprise. One document per entry. We read the appendices so the argument holds.
OpenAI’s Enterprise Signals data show agentic output overtaking chat and the frontier-firm usage gap widening from 2.6× to 8.3× — and the context, tools, and continuous execution enterprises must give agents to delegate real work.
BCG finds only about 5% of companies earn substantial financial value from AI and traces 70% of AI value to workforce transformation — leadership, behavior change, workforce planning, and an AI-enabled operating model — with a closer look at its human cost.
Three Stanford HAI student affinity groups — on cognitive autonomy, narrative-level misinformation, and art in the age of AI — show AI safety widening from technical systems to the integrity of cognition, information, and trust.
Starting from Deloitte’s AUD 440,000 report refund, a reading of the Stanford AI Index 2026 chapter on Responsible AI — output quality, system controls, and accountability — and the three-layer self-assessment enterprises should complete before AI goes live.
A close reading of Microsoft’s 2026 Work Trend Index: as AI and agents take on more execution work, individual agency expands — and the question becomes whether organisations are built to capture that opportunity, from Frontier Professionals to an agent infrastructure that can be evaluated and improved.
A close, weekly reading of how large enterprises actually wire AI into the business. Architecture, vendor choice, where the money lands. Filed every Thursday.
The rules, in plain language. EU, UK, Singapore, US state-level — what changed, who has to act, by when. Filed every Wednesday.
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