Washington has spent years talking about regulating artificial intelligence. In September 2026, the rest of the country stopped waiting.
Republican and Democratic states alike are now openly defying the Trump administration on AI oversight, according to Politico. The revolt intensified after former employees of the nation's largest AI companies warned that the technology is developing so rapidly it could pose existential risks. Governors and state attorneys general say the threat is real, and they are willing to set guardrails amid the void left by the White House.
Why Are States Defying Trump on AI Regulation?
States are acting because the federal government has not. According to Politico, California Governor Gavin Newsom is considering a special legislative session to pass new AI laws in the coming months, while Florida under Governor Ron DeSantis has sued major industry players including OpenAI and CEO Sam Altman. Utah's Republican Governor Spencer Cox has also pushed for controls, showing the effort crosses party lines.
The bipartisan nature of the state revolt is the story. Florida, one of the loudest red states advocating for AI controls, has taken the industry to court. California, the epicenter of AI development, may rewrite its laws within months.
That coast to coast pressure matters for campaigns. Candidates in competitive 2026 races now face voters who, as USA Today reported, are "deeply concerned" about the technology. Smart campaigns are already using tools like HyperPulse synthetic polling to measure how AI anxiety is moving voter sentiment in their districts.
What Is Congress Doing About AI Regulation?
Congress remains under pressure but largely paralyzed. According to NPR, a bipartisan House task force released a report in 2024, and Representatives Jay Obernolte, a California Republican, and Lori Trahan, a Massachusetts Democrat, released a comprehensive bipartisan proposal earlier this year. Both efforts were greeted with a shrug from leaders of both parties.
"Almost everyone in Washington agrees AI is transformative and requires some kind of policy response," Nicole Alvarez, a senior tech policy analyst at the Center for American Progress, told NPR. "The real fight is what governance looks like."
Alvarez also warned that even if a federal framework advances, states could be preempted from placing further restrictions on consumer safety and protections. That preemption question is now the central battleground, and it explains why states are moving fast before Washington moves at all.
One area of genuine bipartisan movement: biosecurity. Politico reported that OpenAI is endorsing three bipartisan bills, the Web of Biological Data Act, the AI Ready Bio Data Standards Act, and the SCALE Biology Act, aimed at the risks AI poses to biological security.
How Is AI Reshaping the 2026 Midterms and the 2028 Race?
AI is now both a campaign issue and a campaign tool, and the two are colliding. NBC News reported that some Republicans in competitive races are breaking with President Trump on AI, calling for more guardrails, even as most midterm campaigns keep their messaging fixed on the economy. Many candidates are hammering data centers for allegedly driving up energy costs and straining local resources.
Meanwhile, potential 2028 Democratic contenders are sprinting ahead of the issue. The Washington Post reported that Democrats eyeing the presidency are planning speeches, warning about the technology on social media, and in some cases introducing legislation. Pennsylvania Governor Josh Shapiro planned a major AI address after signing an August executive order removing data centers from a fast track permitting process.
Politico described the dynamic bluntly: Democratic 2028 hopefuls are scrambling to get ahead of a building wave of voter fears that could ripple into the next presidential cycle.
The technology is also flooding the airwaves. NPR documented the rise of AI generated political ads in the 2026 midterms, including one targeting North Carolina state Senate candidate Jessica Bichler. The ad carried an AI disclaimer, and its sponsor called it obvious parody, but Bichler said supporters were genuinely confused. For campaign professionals, the lesson is clear: voter contact strategy must now account for a media environment where synthetic content is routine. Campaigns leaning on disciplined outreach programs, including HyperPhonebank live calling, can correct misinformation directly in one on one voter conversations, something no ad buy can replicate.
What Does AI Governance Look Like Around the World?
The governance gap is global, and approaches are diverging sharply. More than 60 countries sent ministers and representatives to a high level forum in Riyadh this week, according to The Media Line, producing a joint statement on translating ethical principles into national policies covering accountability, privacy, discrimination, and environmental costs.
"We need to work together, turn shared principles into action and make AI governance inclusive, accountable and people centered," said Dr. Abdullah bin Sharaf Alghamdi, president of the Saudi Data and AI Authority. The Riyadh meeting followed earlier gatherings in Prague, Kranj, and Bangkok.
Elsewhere, hard law is arriving. Latham and Watkins reported that Vietnam issued Decree No. 142/2026 on 30 April 2026, implementing its national AI Law and requiring providers to self classify systems into three risk tiers before deployment, with legal responsibility for accuracy. Taiwan's AI Basic Act requires the government to adapt existing laws and enact subordinate legislation within two years.
Smaller nations are moving too. Ghana officially launched its National Artificial Intelligence Strategy covering 2025 to 2035 on 24 April 2026, aiming to build what Modern Ghana described as a responsible, human centred AI ecosystem. In Wales, Senedd research highlighted this week that no single comprehensive AI legislative framework exists, even as the Welsh Government's November 2025 AI Plan created an Office for AI and a Strategic AI Advisory Group, according to THINK Digital Partners.
Can Governments Audit the Algorithms They Already Use?
Perhaps the most practical governance question is whether governments can oversee the AI they have already deployed. The record is sobering. According to the United Nations Development Programme, when the Netherlands Court of Audit reviewed nine government algorithms in 2022 against governance, data, privacy, and ethics requirements, only three met basic criteria.
The United States offers one model: the Government Accountability Office developed a dedicated AI accountability framework covering governance, data, performance, and monitoring. UNDP notes that AI is already helping audit institutions analyze transactions, detect anomalies, and spot duplicate payments, but the auditors themselves now must ask what data an algorithm was trained on and how reliable it is.
For political professionals, the through line is accountability. Voters want to know who is responsible when automated systems fail, and that instinct now extends to campaigns themselves. Operatives who embrace transparent, well governed tools, from voter contact to the Election Data Hub, will be better positioned as regulation tightens. Explore The Political Group's full services or contact our team to prepare your campaign for the new rules of the road.
The question in 2026 is no longer whether governments will regulate AI. It is whose rules will win, and whether the institutions writing them can keep pace with the machines.