When lobbying against New York's RAISE Act for AI safety, the industry's own estimate of the compliance burden was surprisingly low. They calculated that a tech giant like Google or Meta would only need to hire one additional full-time employee, undermining the argument that such regulation would be prohibitively expensive.

The US President's move to centralize AI regulation over individual states is likely a response to lobbying from major tech companies. They need a stable, nationwide framework to protect their massive capital expenditures on data centers. A patchwork of state laws creates uncertainty and the risk of being forced into costly relocations.

Contrary to their current stance, major AI labs will pivot to support national-level regulation. The motivation is strategic: a single, predictable federal framework is preferable to navigating an increasingly complex and contradictory patchwork of state-by-state AI laws, which stifles innovation and increases compliance costs.

While seemingly promoting local control, a fragmented state-level approach to AI regulation creates significant compliance friction. This environment disproportionately harms early-stage companies, as only large incumbents can afford to navigate 50 different legal frameworks, stifling innovation.

The idea of individual states creating their own AI regulations is fundamentally flawed. AI operates across state lines, making it a clear case of interstate commerce that demands a unified federal approach. A 50-state regulatory framework would create chaos and hinder the country's ability to compete globally in AI development.

Laws like California's SB243, allowing lawsuits for "emotional harm" from chatbots, create an impossible compliance maze for startups. This fragmented regulation, while well-intentioned, benefits incumbents who can afford massive legal teams, thus stifling innovation and competition from smaller players.

Facing a federal vacuum on AI policy, major players like OpenAI and Google are surprisingly endorsing state-level regulations in California and New York. This counter-intuitive move serves two purposes: it creates a manageable, de facto national standard they can influence, and it pressures a gridlocked Congress to finally act to avoid a messy patchwork of state laws.

Both Sam Altman and Satya Nadella warn that a patchwork of state-level AI regulations, like Colorado's AI Act, is unmanageable. While behemoths like Microsoft and OpenAI can afford compliance, they argue this approach will crush smaller startups, creating an insurmountable barrier to entry and innovation in the US.

The European Parliament's own research service published a report harshly criticizing the EU's web of tech laws, including the AI Act and GDPR. The report highlights how different deadlines, reporting procedures, and enforcement bodies create a "disproportionate compliance burden," echoing long-standing external critiques.