FAI Artificial Intelligence Policy Team Internship 2026
The FAI Artificial Intelligence Policy Team Internship: Shaping the Future of Tech Governance
The Foundation for American Innovation (FAI) isn't interested in passive observers; their 2026 AI Policy Team internship is designed for individuals who want to bridge the gap between technical reality and federal regulation. If you spend your time dissecting the implications of large language models while simultaneously trying to understand the legislative hurdles of Capitol Hill, this position is one of the few places where those two interests actually collide.
Key Details at a Glance
- Role: Artificial Intelligence Policy Team Internship
- Organization: Foundation for American Innovation (FAI)
- Focus: Advancing technology, talent, and policy for American prosperity and security.
- Application Process: Rolling basis (no singular cutoff date).
- Location: Hybrid/In-person opportunities (typically based on FAI’s operational hubs).
Who Should Actually Apply?
You shouldn't apply here just because you want a resume-padding role in "AI policy." This internship is for the pragmatic idealist. You are a strong candidate if you have a foundational understanding of how AI architectures function, but you are equally obsessed with the nuances of bureaucratic processes. They aren't looking for pure coders, and they aren't looking for pure lobbyists; they want the "translator"—someone who can explain the risks of generative models in a way that informs, rather than scares, policymakers. If you are deeply invested in the intersection of national security and emerging tech, you’ll find the work here far more substantive than a typical corporate internship.
Is This Legit?
The Foundation for American Innovation is a credible, D.C.-based think tank that has firmly established itself as a hub for techno-optimist policy research. They hold significant weight in circles that influence federal technology strategy, making this a legitimate stepping stone for anyone aiming to enter the high-stakes world of D.C. tech policy.
How to Navigate the Application
The application process is handled through the FAI portal. You will need to submit a resume, a cover letter that avoids generic jargon, and potentially a writing sample. Ensure your documents highlight specific projects where you analyzed a policy problem and proposed a technical solution. Since they recruit on a rolling basis, the "first-come, first-served" rule is effectively in play—do not wait for the end of the year to get your materials in.
Pro Tips for a Standout Application
1. Pivot away from "General Interest." Avoid stating that you are "passionate about AI." Everyone is. Instead, cite a specific recent policy white paper or legislative hearing that FAI has engaged with and provide a critical perspective on it. Show them you’ve been paying attention to their specific output.
2. Emphasize Technical Literacy. If you don't have a CS degree, that’s fine, but demonstrate technical literacy. Mention your experience reading research papers or experimenting with open-source models. Policy teams value interns who don't need a dictionary to understand the difference between a transformer architecture and a neural network.
3. Tailor for the "Builder" Mindset. FAI prides itself on being "builders and hackers." If your background includes side projects—even failed ones—highlight the problem-solving process. They want to see that you understand the iterative nature of technology, which is often the opposite of how slow-moving government regulation operates.
Deadline and Timeline
Because applications are open on a rolling basis, the submission window is essentially "open until filled." I strongly recommend applying as early as possible. In competitive D.C. policy circles, slots are often claimed by the first batch of qualified applicants, and waiting until the final months of the year significantly lowers your probability of selection.
Our Take
This is a rare opportunity to engage with the actual mechanism of tech governance at a time when AI policy is being written in real-time. I recommend this specifically for students who want to be in the room where the decisions happen, rather than simply writing about them from the sidelines.
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