AI Policy, Energy, and the 50-State Patchwork:
CIFE’s Takeaways from the U.S. Chamber Technology Leadership Summit
CIFE attended the U.S. Chamber’s 2026 Technology Leadership Summit in Washington, with a room full of executives, innovators, and policy advocates working to ensure America remains a global leader in technology and innovation. The theme was “Deploy and Dominate.” Here’s what we heard and took away.
The 50-state patchwork is a major challenge, and it’s getting worse. A recurring theme across panels was the challenge of a patchwork of laws across the country. UT Austin Law’s Kevin Frazier noted that AI isn’t the unregulated “Wild West” many people still think it is today. The problem isn’t a lack of rules, it’s the proliferation of inconsistent ones. Frazier noted that there are hundreds of different AI definitions across state laws and proposed legislation, with some states carrying multiple conflicting definitions simultaneously.
The AI buildout isn’t just a technology challenge, it’s an energy challenge, and the clock is ticking. The scale of what AI demands from the energy system has no modern precedent. Data centers require enormous, reliable electricity, and that demand is compounding. Outdated energy systems, heavily regulated at the state and federal levels, were not built for this speed or scale. Permitting reform at both the state and federal levels is essential to meet the moment. State legislatures and regulatory bodies face generational infrastructure decisions on compressed timelines, with frameworks designed for a different era. Meeting this moment requires innovative thinking and new solutions, which means policymakers, regulators, energy incumbents, innovators, and the private sector will all have to push harder and think differently than the existing structure was designed to allow.
Winning the AI race requires a full-stack strategy. Frazier framed America’s AI challenge around four domains that must work together: Data, Compute, Power, and Talent. Qualcomm’s Andres Castrillon added a critical dimension: the policy conversation has focused on training AI models in massive data centers, but must include the day-to-day use of AI on edge devices like phones, tablets, and wearables. Castrillon argued for a comprehensive cloud-to-edge strategy that treats semiconductor design, hardware, and on-device compute as an equally important pillar.
CIFE’S TAKE
Fear and distrust are the hidden tax on American innovation. The word “fear” was used in multiple panels, and it’s worth bringing up. Fear of using AI wrong, fear of violating company policies or individual preferences in business leadership, fear of regulatory penalty, fear of being left behind or getting too far ahead, even government leaders being fearful about not acting. The result is a culture of hesitancy that slows adoption at exactly the moment America needs to accelerate. Fear is exacerbated by regulatory confusion and cultural sentiment. When the rules are unclear, inconsistent, or nonexistent, people default to caution. The digital divide widens not just between countries but within them. We’re already seeing a massive divide between individuals who adopt innovative solutions and those who self-select out. Businesses burn resources on compliance instead of building and innovating. The country bleeds economic momentum it should own. The trust deficit created by regulatory chaos compounds quietly…until it doesn’t.
States can be innovators or obstacles. Which lane they choose matters more than most people realize. Kevin Frazier laid out both sides of this clearly, and the distinction is important. States using AI to improve public services, streamline government, and address real harms are doing exactly what they should be doing. Washington state’s Spark Act, which aims to use state government as an incubator for AI addressing public harms like wildfire detection, is a good example. North Carolina’s program using AI to help state employees identify government waste is another. That kind of state-level experimentation is additive. What isn’t helpful are states passing AI regulations that confuse national definitions, create inconsistent liability standards, and spill across borders, fragmenting the national regulatory environment in the process. States have a choice before them. The path they take will either strengthen America’s position or erode.
Congress has a great opportunity to lead. A coherent federal framework on AI and data privacy would do more to protect consumers and enable innovation than any combination of state laws ever could. Congress can resolve this grand challenge, reduce the compliance burden on businesses of every size, and give innovators the clarity they need to build.
