June 30, 2026, (Inside AI) — The United States’ regulation of artificial intelligence is problematic and inconsistent, according to Martin Chavez, vice chairman at investment firm Sixth Street and board member at Alphabet Inc. Speaking at the Reuters Momentum AI London event on Tuesday, Chavez criticized the current U.S. approach of regulating each new AI model’s release individually, citing a lack of transparency on how decisions are made and who is making them.
Chavez’s remarks highlight a growing unease among industry leaders about the fragmented regulatory landscape. The U.S. lacks a unified federal AI law, instead relying on a patchwork of executive orders and agency actions. This ad-hoc method, Chavez argued, creates uncertainty and an uneven playing field, potentially increasing risks for developers and users alike.
The core issue, as Chavez sees it, is the opaque decision-making process. Without clear, consistent rules, companies face unpredictable compliance burdens. This sentiment echoes broader industry calls for a coherent national AI strategy that balances innovation with safety, rather than reactive, model-by-model interventions.
Transparency Gaps and Regulatory Whiplash
Chavez’s critique points to a fundamental flaw: the absence of a transparent framework. He noted the lack of clarity on how regulatory decisions are made and who holds the pen. This opacity can lead to regulatory whiplash, where developers are unsure if their next release will face unexpected hurdles.
The current U.S. approach often relies on voluntary commitments and sector-specific guidelines. For instance, the White House has secured pledges from major AI firms, but these lack legal teeth. Meanwhile, agencies like the Federal Trade Commission have issued warnings, yet comprehensive legislation remains stalled in Congress.
Chavez’s dual role as a finance veteran and Alphabet board member gives his words weight. He stressed that inconsistency not only hampers innovation but also fails to address real risks, such as bias and misuse. His call for transparency aligns with global trends, as the European Union moves forward with its AI Act, a risk-based regulatory framework.
Industry Echoes and Global Contrasts
Chavez is not alone in his concerns. Many tech leaders have warned that U.S. regulatory fragmentation could cede leadership to other nations. The EU’s AI Act, for example, provides clear rules for high-risk applications, offering a stark contrast to the U.S. ad-hoc system.
However, some argue that the U.S. approach allows for flexibility and rapid adaptation. Proponents of the current system say that model-specific oversight can prevent harm without stifling innovation. Yet Chavez’s criticism suggests that the costs of uncertainty may outweigh the benefits of agility.
The debate comes as AI capabilities advance rapidly. Without a clear regulatory path, companies may hesitate to deploy new models, fearing retroactive penalties. Chavez’s remarks underscore the urgency for a transparent, predictable framework that can keep pace with technological change.
As the U.S. grapples with these challenges, international coordination remains elusive. The United Kingdom has also proposed a pro-innovation approach, while China enforces strict controls. Chavez’s call for transparency may serve as a catalyst for a more coherent U.S. strategy, one that could define the next era of AI development.
