US AI Congress 2026: Event Recap and Takeaways
The US AI Congress, 2026: Recap and Takeaways
Leaders from across the country and the federal government gathered in Washington to set a national agenda for American leadership in artificial intelligence.
Just a week ahead of the White House's June 2 executive order on artificial intelligence, "Promoting Advanced Artificial Intelligence Innovation and Security," the Enterprise Technology Association convened leaders from around the country and across the federal government for a two day conference focused on accelerating American innovation and prosperity in AI.
The timing was not lost on anyone in the room. At the National Press Club on May 27 and 28, the conversations that filled the inaugural US AI Congress anticipated almost exactly the priorities the administration would formalize days later: hardening the nation's systems against emerging threats, keeping the United States at the front of the global race, and doing it through partnership between government and the private sector rather than mandate alone. The Congress did not predict the order so much as it reflected a national consensus that was already forming, in real time, among the people doing the work.
ETA built the US AI Congress as a co-convened gathering alongside the Institute for Education, the White House Presidential Innovation Fellows, the Chief Architect Network, and the National AI Association. The goal was deliberately ambitious: bring federal policymakers, state leaders, technologists, and workforce builders into the same rooms and force the kind of cross-sector conversation that rarely happens at single-track conferences. Over two days, five themes surfaced again and again. They are worth setting down while the sessions are still fresh.
"The question is no longer whether America will lead in AI. It is whether we will build the workforce, the infrastructure, and the trust to make that leadership durable."
THE FIVE TAKEAWAYS
What we heard, across two days and dozens of voices
Workforce is the bottleneck, and the opportunity
The most consistent message across every track: the constraint on American AI leadership is not compute or capital, it is people. Speakers returned repeatedly to the gap between the skills the economy needs and the training pipelines that exist today. The consensus was that the country is training the wrong people, in the wrong numbers, on the wrong timeline. Closing that gap means reaching workers in manufacturing, healthcare, logistics, and the public sector, not only the engineers already inside frontier labs. The most credible plans on stage were the ones that paired credentials with real employer demand and treated AI fluency as a baseline competency rather than a specialty.
Energy is the new infrastructure question
If 2024 was about models and 2025 about adoption, 2026 is about power. Panel after panel circled back to the same constraint: the data centers and compute clusters that AI depends on require an energy buildout the United States has not undertaken at scale in a generation. Speakers framed energy policy, grid modernization, and permitting reform not as adjacent concerns but as core AI policy. The takeaway was blunt. Whoever solves the energy equation fastest sets the ceiling on how far and how fast American AI can grow.
National security moved to the center of the table
The national security conversation at the Congress tracked closely with what the White House would put in writing a week later. Federal participants emphasized cyber defense of critical systems, protection of American intellectual property from theft by adversaries, and the need for trusted frameworks to evaluate the most capable models before they reach the open market. The throughline was that security and innovation are not opposing forces. The leaders most focused on protecting American advantage were also the ones most insistent that the country keep building.
The states are where execution happens
Perhaps the most energizing thread of the two days came from state and regional leaders who are not waiting for Washington. From AI Ready Ohio to comparable efforts taking shape across the Midwest and Southeast, the Congress made clear that the real implementation of national AI strategy is happening at the state and regional level, through workforce programs, regional accelerators, and public partnerships with technology providers. The federal government sets direction; the states and regions turn it into jobs, credentials, and capability on the ground.
Quantum and AI are converging faster than expected
The final recurring theme looked over the horizon. Researchers and technologists described a convergence of quantum computing and artificial intelligence that is arriving sooner than most policy frameworks assume, with implications for cryptography, materials science, and national competitiveness. The message to policymakers was to plan for the convergence now, while the standards and the workforce are still being shaped, rather than react to it after the fact.
A consensus, not a controversy
What stood out most was the absence of the usual partisan friction. Across federal officials, state leaders, industry, and the research community, the room shared a common premise: American leadership in AI is a national project, and it depends on workforce, infrastructure, and trust as much as on technology itself.
Where this goes next
The inaugural US AI Congress closed with a clear sense that it had started something. The White House order that followed a week later validated the urgency of the conversation, but the harder work, building the talent pipeline, the energy capacity, and the state-level execution to match the ambition, belongs to the people who filled these rooms. ETA and its co-conveners will carry that work forward through the year, across the AI Week series and the national programs that connect to it.
For now, our thanks go to every speaker, partner, and attendee who made the first US AI Congress what it was. The agenda we set together in Washington is already shaping what comes next.
Be in the room in 2027
The inaugural US AI Congress filled the National Press Club. Seating for the 2027 convening will be limited. Request your seat now and we will reach out with dates as soon as they are confirmed.
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