Compute policy, evidence pipelines, and liability signals

U.S. $1bn AI-compute partnership (DoE × AMD). The U.S. Department of Energy launched a $1 billion public-private partnership to build next-gen supercomputing capacity for AI research, raising governance questions on access, export-control compliance, and provenance of training data. UK “AI Growth Lab” — call for evidence (open). The government is soliciting submissions to shape a pro-innovation regulatory sandbox for AI adoption; responses due 2 Jan 2026. This sets expectations for measurable benefits and audit-grade documentation from participants.

State-of-play: medical AI, EU “AI gigafactories,” and evidence standards

UK funds AI studies to predict drug-interaction side effects. Government announced three MHRA projects, one using NHS data + AI to identify adverse effects from drug combinations before patient exposure. Compliance note: strengthens the case for auditable clinical-AI evidence and data-governance controls. Commission signs MoU with EIB & EIF on “AI gigafactories.” New EU initiative to support facilities combining >100k advanced AI processors with energy-efficient infrastructure for frontier-model training; expect procurement and sustainability obligations to feature heavily.

Calls for evidence, workforce AI stats, and documentation pressure

UK launches “AI Growth Lab” call for evidence. DSIT opened submissions to inform a pro-innovation package on AI adoption and growth, inviting input from industry, academia and civil society. Commission’s JRC: 30% of EU workers use AI. A first EU-wide survey reports significant workplace AI uptake and algorithmic-management exposure, relevant for risk assessments and labour-law compliance.