A coalition of venture capital firms and AI startups, including Andreessen Horowitz (a16z) and Y Combinator, is mobilizing to ensure that smaller AI companies have a voice in shaping federal and state AI regulations. The American Innovators Network (AIN), which champions what it calls "Little Tech" startups, announced it has more than doubled its partner roster in its first year and hired Jeremy Kudon as Executive Director to advocate for startup-friendly policies as Congress and state legislatures draft AI legislation .

The timing is critical. With more than 1,000 AI-related bills introduced in state legislatures during 2025 and hundreds already filed in 2026, the regulatory decisions being made now will determine whether smaller AI companies can compete and scale alongside tech giants . AIN's expansion reflects growing concern among venture capitalists and founders that large technology companies could shape regulations in ways that entrench their market dominance and lock out emerging competitors.

Why Are Startups Worried About AI Regulation?

Smaller AI companies face a unique challenge in the regulatory landscape. While large tech firms have dedicated government affairs teams and can absorb compliance costs, startups often lack the resources to navigate complex regulations or influence policy debates. AIN was created to give these companies collective bargaining power and ensure their perspectives reach policymakers .

The concern is not abstract. Regulatory frameworks that require expensive infrastructure, extensive data governance, or lengthy approval processes could disproportionately burden startups while favoring established players with deeper pockets. By contrast, regulations designed with startup input might encourage innovation while still protecting consumers and society.

"Small startups and entrepreneurs are the driving force behind American innovation and competitiveness. As the fight over how to best regulate AI intensifies, we cannot let the biggest players in the room write rules that lock Little Tech out," said Jeremy Kudon, Executive Director of AIN.

Jeremy Kudon, Executive Director of American Innovators Network

What Companies Are Part of This Coalition?

AIN's partner network now spans more than 30 organizations working across diverse AI applications. The coalition includes venture capital firms like a16z and Y Combinator alongside AI startups building tools in healthcare, autonomous vehicles, mental health, and digital infrastructure .

• Healthcare and Mental Health: Companies like Slingshot AI, Logical Health, and Fortuna Health are developing AI systems for accessible mental health support and medical innovation.
• Autonomous Systems and Robotics: Applied Intuition, Skydio, and Longeye are building AI for safer autonomous vehicles and drone technology.
• Developer Tools and Infrastructure: Sourcegraph, Anyscale, and Descript are creating AI-powered software development and content tools that thousands of developers rely on.
• AI Safety and Governance: Scale AI and Sardine are focused on responsible AI systems and fraud detection, addressing regulatory concerns directly.

The diversity of this coalition is intentional. By representing startups across multiple industries and use cases, AIN can demonstrate to policymakers that AI regulation affects not just a single sector but the entire American innovation ecosystem .

How Are Startups Influencing AI Policy?

Kudon's appointment signals AIN's shift toward direct legislative advocacy. With experience successfully pushing for policy reforms in state legislatures, Kudon brings expertise in translating startup concerns into legislative language that policymakers can act on. His role is to ensure that as Congress debates federal AI legislation, startup voices shape the outcome .

The strategy involves several key tactics. First, AIN provides policymakers with real-world examples of how proposed regulations would affect startups. Second, the coalition demonstrates that startup-friendly policies can coexist with consumer protection and safety. Third, by coordinating across multiple startups and venture firms, AIN amplifies the message that this is not a single company's concern but an industry-wide issue.

"Startups win with speed, turning bold ideas into real-world impact, fast. Keeping that momentum requires policy that moves just as fast, so the people building the future can have a voice in the rules shaping it," noted Macy Mills at a16z speedrun.

Macy Mills, a16z speedrun

One concrete example comes from Slingshot AI, a mental health startup. The company's general counsel, John Hsu, explained that regulatory choices being made in Congress and state legislatures will determine whether companies like Slingshot can scale to reach people who need mental health support. By joining AIN, Slingshot gains a platform to advocate for regulations that don't inadvertently block access to mental health innovation .

What Does This Mean for the Future of American AI Innovation?

AIN's growth from launch to more than 30 partners in its first year suggests that startup founders and venture capitalists see regulatory risk as a genuine threat to innovation. The coalition's expansion also reflects a broader realization that the AI policy debate cannot be left to large tech companies and government agencies alone .

The stakes are high. If regulations are written without startup input, they could inadvertently create barriers to entry that protect incumbents and slow the pace of AI innovation. Conversely, if startups successfully influence policy, the resulting regulations could foster a competitive AI ecosystem where new companies can emerge and challenge established players.

AIN's mission centers on the idea that "Little Tech" represents the future of American competitiveness. By ensuring that startups have a seat at the policy table, the coalition aims to preserve the conditions that have historically allowed American entrepreneurs to build transformative companies. As federal and state AI legislation moves forward, the influence of groups like AIN may determine whether the resulting rules encourage or inhibit the next wave of AI innovation .