AI Control Moves Upstream

Reuters reported that Americans for Responsible Innovation urged the US administration to require safety reviews for frontier AI models before public release.

Frontier Models Face Gatekeeping

Axios reported that the US government is expanding frontier AI testing with Google DeepMind, Microsoft and xAI. The coverage describes a move toward pre-deployment checks for security-sensitive AI capabilities before public release. Reuters reported that major publishers filed a proposed class action against Meta over alleged use of books and scientific works to train Llama. The claim adds another large rights-holder dispute to the unresolved fair-use fight over AI training data.

AI Guardrails Reach Children and Finance

Associated Press reported that Roblox will require facial scans for users under 16 in Indonesia under new rules for minors on digital platforms. The rollout creates age-based accounts and restricts chat access for children who have not completed facial age estimation. Insurance Journal reported Grant Thornton findings that insurers are gaining from AI but still face governance gaps. The survey found governance or compliance weaknesses linked to failed or underperforming AI projects, with limited confidence in independent review readiness. ABA Journal reported that Harvey will expand its legal AI presence with a new Chicago office. The move reflects continuing institutional investment in legal AI tools despite heightened scrutiny of accuracy, workflow control and professional responsibility.

AI shifts from model hype to deployment pressure

Reuters reports that Tesla has lifted its 2026 capital expenditure plan to more than $25 billion, with the company tying that spend to artificial intelligence, robotaxis and robotics while still facing investor scepticism over whether those bets can produce near-term returns.

Google puts AI agents at the centre

Google says at Cloud Next ’26 that it is pushing further into the ‘agentic Gemini era’, with new enterprise tooling and eighth-generation TPUs designed to help organisations build, manage and scale large numbers of AI agents.