A coalition of startup founders and entrepreneurs is mobilizing to ensure that America's next wave of AI innovation isn't written by the largest tech companies in the room. The American Innovators Network (AIN), which represents what it calls "Little Tech" startups, announced it has more than doubled its membership in its first year, adding two dozen new partner organizations and appointing Jeremy Kudon as its new Executive Director .

The timing is critical. Congress is actively debating federal AI legislation, and state legislatures have introduced more than 1,000 AI-related bills in 2025 alone, with hundreds already filed in 2026 . For smaller companies building autonomous vehicles, healthcare AI tools, and other cutting-edge technologies, the regulatory choices being made right now will determine whether they can scale and compete.

What Is Little Tech, and Why Does It Matter?

Little Tech refers to the ecosystem of startups, entrepreneurs, and smaller AI companies that are driving innovation across industries. Unlike the handful of mega-cap tech giants that dominate headlines, these companies operate with speed and agility, turning bold ideas into real-world products faster than larger, more bureaucratic organizations. AIN's partner companies are developing tools that power safer autonomous vehicles, drive innovation in healthcare and mental health research, advance responsible AI systems, and strengthen digital infrastructure across industries .

The concern among AIN members is straightforward: if AI regulation is shaped primarily by the largest players in the industry, the rules could inadvertently lock out smaller competitors who lack the resources to comply with expensive, complex regulatory frameworks.

"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 the American Innovators Network

Who Are the Partners Pushing This Movement?

AIN's expanded roster now includes more than 30 partner organizations spanning multiple sectors of the AI economy. The network includes venture capital firms like Andreessen Horowitz and Y Combinator, as well as specialized AI companies focused on everything from autonomous systems to healthcare to code generation .

• Autonomous Vehicle & Safety Tech: Applied Intuition and other partners are building the software and safety systems that power self-driving vehicles and autonomous systems.
• Healthcare & Mental Health: Companies like Slingshot AI, Logical Health, and Fortuna Health are developing AI tools for accessible mental health support and healthcare innovation.
• Developer Tools & Infrastructure: Sourcegraph, Descript, and Anyscale are building AI-powered tools that help developers write code faster and manage complex computing infrastructure.
• AI Safety & Responsible Systems: Partners like Scale AI and Sardine are focused on ensuring AI systems are safe, transparent, and resistant to fraud and misuse.

The addition of companies like Slingshot AI and Doppel signals AIN's commitment to representing startups across diverse sectors, not just the most visible AI companies .

How Can Startups Influence AI Policy Before It's Too Late?

With Kudon's appointment as Executive Director, AIN is positioning itself to have a direct voice in policy discussions at both the federal and state levels. Kudon brings extensive experience successfully advocating for policy reforms in state legislatures, giving the coalition a seasoned strategist who understands how to navigate the legislative process .

• State-Level Advocacy: Rather than waiting for federal legislation, AIN is engaging with state legislatures across the country, where hundreds of AI-related bills are already being debated in 2026.
• Congressional Engagement: As Congress debates federal AI legislation, AIN is ensuring that startup perspectives are represented in those conversations, not just the views of established tech giants.
• Coalition Building: By uniting 30+ companies with shared interests in innovation-friendly regulation, AIN amplifies the voice of smaller players who might otherwise be drowned out.
• Policy Expertise: The network combines technical expertise from AI engineers and founders with policy experience, allowing it to propose practical regulatory frameworks rather than simply opposing regulation.

The stakes are high. Companies like Slingshot AI are explicitly framing this as a matter of survival. "The regulatory choices being made right now, in Congress and in statehouses across the country, will determine whether companies like ours can scale and reach the people who need us most," explained John Hsu, General Counsel at Slingshot AI .

"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

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

AIN's rapid growth and expanded influence suggest that the startup community is taking regulatory risk seriously. The coalition's doubled membership in just one year indicates that founders across the AI ecosystem recognize the threat of being locked out by regulation written without their input .

The outcome of these policy debates will shape whether the next generation of AI breakthroughs come from Silicon Valley startups, established tech giants, or some combination of both. If regulation favors large companies with deep compliance budgets, innovation may slow. If regulation is crafted with startups in mind, the pace of AI development could accelerate, bringing new applications to market faster and creating more competitive pressure on incumbents.

For now, AIN's strategy is clear: get to the table early, speak loudly, and ensure that when Congress and state legislatures write the rules for AI, they're not written by the companies with the most to gain from locking out competition.