Jensen Huang at CES 2026: 'ChatGPT Moment for Physical AI Is Coming'
Nvidia's Jensen Huang took the CES stage January 5 and said what robotics people have been saying quietly for two years: physical AI is about to make the same leap that language AI did in 2022. He announced the Rubin platform — six chips, available to Nvidia partners in H2 2026 — and positioned humanoid robots and autonomous vehicles as the next compute wave. The inference: if your enterprise strategy doesn't account for AI that moves through physical space, you're already a cycle behind. The Rubin timeline means design wins are being locked up right now.
New AI Laws Take Effect January 1 Across Multiple States
January 1, 2026 wasn't a quiet date. California's TFAIA, AI Transparency Act, and GAI Training Data Transparency Act all became law. Texas HB 149 — prohibiting AI from inciting harm, capturing biometrics, or discriminating by protected class — went live simultaneously. If you deploy AI in customer-facing workflows in those states, you're now operating under active statute. The Trump preemption EO creates a legal conflict that won't resolve quickly; courts will sort it out over 2026. In the meantime, assume the stricter standard applies and document your compliance architecture.
Federal vs. State AI Regulation: The Legal Map Is Now a Battleground
King & Spalding published the clearest analysis of the collision between Trump's preemption executive order and the state laws that just took effect. The short version: the EO directs the FTC to issue a policy statement by March 11, 2026 on how federal law preempts state AI mandates — but until that statement arrives, the state laws remain enforceable. Legal uncertainty at the intersection of compliance and AI deployment is your new operating environment. The smart move: build your AI governance framework around the strictest requirements and document the federal preemption argument as a reserve position.
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