If you want to understand why AI regulation looks the way it does in America, start with one number: two-thirds. That's the share of state-level AI bills introduced by Democratic legislators, according to research from the Brookings Institution. Republicans account for roughly one-third. And the number of truly bipartisan AI bills — co-sponsored by members of both parties? Three.
That partisan split isn't just a curiosity. It shapes which bills pass, which states act first, and what kind of AI regulation America ultimately gets.
The Sponsorship Gap
Across all 50 states, the pattern is remarkably consistent. Democrats introduce AI bills at roughly double the rate of Republicans. This holds true even in purple states where the legislature is closely divided. The Brookings data, which we've cross-referenced with our own bill tracking database, shows:
- ~67% of state AI bills have Democratic primary sponsors
- ~30% have Republican primary sponsors
- ~3% have bipartisan co-sponsorship (only 3 bills as of early 2026)
The Democratic bills tend to focus on consumer protection, algorithmic accountability, bias auditing, and transparency. The Republican-sponsored bills lean toward innovation promotion, regulatory sandboxes, government AI adoption, and preemption of local regulation.
Neither approach is inherently wrong. But the near-total absence of bipartisan bills means that AI regulation in America is being shaped by whichever party controls a given state legislature — creating a patchwork that varies wildly by geography.
The Passage Rate Puzzle
Here's where it gets interesting. Not all AI bills are created equal in the eyes of legislators, and the framing matters enormously for passage rates:
- "Responsible governance" bills: 38.6% passage rate
- "Consumer protection" bills: ~18% passage rate
- "Innovation and competitiveness" bills: ~22% passage rate
- "Rights and prohibitions" bills: ~8% passage rate
The 38.6% passage rate for "responsible governance" framing is the standout finding. These are bills that frame AI regulation as sensible stewardship rather than adversarial enforcement — establishing study committees, creating advisory boards, requiring government agencies to inventory their AI use, or setting up voluntary frameworks. They pass at nearly 4x the rate of bills that frame AI as a rights issue.
Use our State Comparison Tool to see how different framing strategies perform across states.
Red States vs. Blue States
The partisan divide plays out geographically in predictable but important ways:
Blue state approach (California, New York, Illinois, Colorado):
- More total bills introduced
- Focus on algorithmic accountability and bias
- Consumer protection orientation
- Willing to impose compliance costs on industry
- Higher ambition, lower passage rate per bill
Red state approach (Texas, Florida, Tennessee, Utah):
- Fewer bills but higher passage rates
- Focus on government AI adoption and efficiency
- Innovation-friendly framing
- Resistant to new compliance mandates on business
- More likely to preempt local AI ordinances
Purple state wildcards (Virginia, Georgia, Arizona, Michigan):
- Legislation depends heavily on which party controls the chamber
- Most likely to produce compromise versions
- Often the testing ground for frameworks that later spread
Virginia's AI legislation, for example, has been notably more bipartisan than most states — perhaps because the state's proximity to D.C. and its large federal workforce create shared incentives around government AI adoption. Explore the full state-by-state breakdown on our States page.
Follow the Money
The partisan divide in AI legislation isn't happening in a vacuum. It's connected to where AI companies direct their political money. According to OpenSecrets data:
- AI company PAC contributions skew roughly 60-40 toward Democrats at the federal level
- However, lobbying spend is more evenly distributed — companies hire lobbyists with connections to both parties
- At the state level, AI company contributions track closely with committee chairmanships rather than party affiliation — whoever controls the relevant committee gets the money
This creates an interesting dynamic: AI companies publicly support Democratic-leaning policy positions (responsible AI, safety) while also funding Republican legislators who will block the most restrictive versions of those policies. It's a hedge strategy, and it works.
The Bipartisan Exception
The three bipartisan AI bills that exist are instructive. All three share common characteristics:
- They focus on government use of AI rather than private sector regulation
- They create study committees or advisory boards rather than mandates
- They were introduced in purple or light-red states
- They avoid the words "ban," "prohibit," or "moratorium"
In other words, the only AI bills both parties can agree on are bills that study the issue rather than regulate it. Any bill that imposes actual requirements on companies becomes a partisan fight.
What This Means for National Policy
The state-level partisan divide has direct implications for federal AI legislation. Congressional bills face the same dynamics, amplified by the filibuster and committee control:
- Democratic proposals for comprehensive AI regulation can't get 60 Senate votes
- Republican proposals for innovation-first frameworks can't pass the House when Democrats control it
- The result is legislative paralysis at the federal level, which pushes more action to states — which are themselves divided along partisan lines
The companies lobbying for federal preemption of state laws are, in effect, lobbying for the status quo: no binding federal regulation and no state regulation either. That's a regulatory vacuum, and it's not an accident.
Track every bill, every sponsor, and every vote on our legislation tracker. Compare state approaches with our State Comparison Tool.