Around February 2026, most of the AI industry was pushing for federal preemption of all state AI regulation, with no apparent federal approach.

Judge as of about 2026-02 (six months before the 2026-08-15 statement). True: contemporary reporting shows that, around February 2026, most major AI companies or industry groups were publicly backing broad federal preemption (or a moratorium) of state AI laws, and that no federal regulatory framework was being clearly advanced as a replacement. Mostly true: preemption was the dominant industry position, but some federal framework proposals existed, or the preemption sought was broad but not literally 'all' state regulation. Mixed: industry was split roughly evenly, or a federal approach was visibly in play. Mostly false: only some prominent firms pushed for preemption and most did not, or a clear federal approach existed. False: most of the industry did not support preemption around that time.

Set before the research began.

1. E1 2026 AI Policy and Semiconductor Outlook: How Federal Preemption, State AI Laws, and Chip Export Controls Will Shape U.S. Policy ML Strategies (policy consultancy; authors Alexander Hecht, Nicole Y. Teo, Myria Garcia) · 4 February 2026

   “Momentum continues to build in Congress for a national AI framework, driven primarily by concern over an increasingly fragmented landscape of state laws.”

2. E2 2026 AI Policy and Semiconductor Outlook: How Federal Preemption, State AI Laws, and Chip Export Controls Will Shape U.S. Policy ML Strategies (policy consultancy; authors Alexander Hecht, Nicole Y. Teo, Myria Garcia) · 4 February 2026

   “Taken together, these efforts underscore a broader reality: while lawmakers agree on the need for a national framework, they remain deeply divided over its scope, enforcement mechanisms, and the extent of federal preemption.”

3. E3 2026 AI Policy and Semiconductor Outlook: How Federal Preemption, State AI Laws, and Chip Export Controls Will Shape U.S. Policy ML Strategies (policy consultancy; authors Alexander Hecht, Nicole Y. Teo, Myria Garcia) · 4 February 2026

   “The December 2025 Executive Order, “Ensuring a National Policy for Artificial Intelligence,” makes federal preemption an explicit objective, declaring that U.S. AI dominance depends on a “minimally burdensome national policy framework””

4. E4 Federal vs. State AI Regulation: Congress Preemption Digital Applied (blog) · 11 March 2026

   “Google, Microsoft, Meta, Amazon, and Apple have all publicly or through trade associations supported federal preemption.”

5. E5 Federal vs. State AI Regulation: Congress Preemption Digital Applied (blog) · 11 March 2026

   “Early-stage AI companies are more ambivalent. Many would welcome unified standards for compliance simplicity but worry that federal legislation designed around large model providers would impose fixed costs that scale poorly for smaller operations.”

6. E6 Federal vs. State AI Regulation: Congress Preemption Digital Applied (blog) · 11 March 2026

   “More than 40 federal AI bills have been introduced in the 119th Congress (2025–2026).”

E5, from March 2026, reports that Google, Microsoft, Meta, Amazon and Apple supported federal preemption, either publicly or through trade associations. E6 says early-stage AI companies were more ambivalent. This supports the claim that big firms were pushing for preemption, but it does not show the whole industry was. The second half of the claim, that there was no apparent federal approach, is not borne out by the February 2026 outlook, which reports congressional momentum toward a national framework and an executive order seeking one [E1][E4], though lawmakers remained divided over its scope [E3]. That outlook describes building momentum in Congress for a national AI framework (E1, E3) and a December 2025 executive order calling for a "national policy framework" (E4), and E7 counts more than 40 federal AI bills in the 119th Congress. A federal approach was visibly in play but its scope was still disputed, which fits the "mixed" level of the criteria.