Check Out the Conservative AI Policy Fellowship 2027: Eight-Week Fellowship for Policy Professionals in Washington, D.C. The programme offers policy professionals an eight-week opportunity to develop AI policy knowledge, with eligible fellows receiving a $1,500 stipend.
About the Conservative AI Policy Fellowship
The Foundation for American Innovation (FAI) is accepting applications for the Winter 2027 Conservative AI Policy Fellowship (CAPF).
The eight-week, part-time programme is designed for conservative policy professionals in Washington, D.C. who want to develop their understanding of artificial intelligence and emerging technology policy. FAI states that applicants do not need a technical background in AI.
Fellowship Details
The Winter 2027 cohort runs from January 19 to March 12.
Weekly sessions are generally held on Fridays from 12:00–1:30 p.m. or Tuesdays from 6:30–8:30 p.m. Fellows also participate in a weekend retreat in February featuring workshops, collaborative projects and networking.
Sessions are held at the FAI office on Capitol Hill in Washington, D.C.
Funding and Benefits
The fellowship is described by FAI as fully funded. Meals and retreat expenses are covered in accordance with applicable government ethics rules.
Eligible fellows may receive a US$1,500 stipend. Government employees should confirm with their employer’s ethics office whether accepting the stipend and other benefits is permitted.
Who Should Apply?
The programme is aimed at people working across the conservative policy landscape who are interested in AI and emerging technology.
FAI specifically identifies:
- Congressional staff and executive branch officials.
- Policy researchers and think tank professionals.
- Technology professionals considering an AI policy career.
- Exceptional early-career applicants interested in AI policy.
Applicants do not need previous technical AI expertise. FAI says it is interested in applicants who demonstrate policy judgment, curiosity, and an ability to engage with competing perspectives.
Key Topics
The fellowship covers topics including AI fundamentals, national security and defense, energy and reindustrialization, technological competition, labor and market policy, and AI’s effects on children and families.
Fellows should expect approximately 2–3 hours of commitment during a typical week, in addition to the required weekend retreat. Participants also work on a short policy memo or project with mentor guidance.
Application Deadline
Applications for the Winter 2027 cohort close October 30, 2026.
Interested applicants should review the official fellowship requirements and application instructions before applying.
Apply through the Foundation for American Innovation
FAQ – People Also Ask
What is the Conservative AI Policy Fellowship?
It is an eight-week, part-time fellowship by the Foundation for American Innovation for conservative policy professionals interested in artificial intelligence and emerging technology policy.
When does the Winter 2027 fellowship begin?
The Winter 2027 cohort runs from January 19 to March 12.
How much is the fellowship stipend?
Eligible fellows may receive a US$1,500 stipend.
Is technical AI experience required?
No. FAI states that applicants do not need a technical background in artificial intelligence.
Where is the fellowship held?
Weekday sessions are held at the Foundation for American Innovation’s office on Capitol Hill in Washington, D.C.
When is the application deadline?
Applications close on October 30, 2026.
Final Thoughts
The Conservative AI Policy Fellowship 2027 is an eight-week professional development programme focused on AI policy and emerging technology. It combines weekly sessions, a February retreat and a policy project, with funding that includes covered meals and retreat expenses and an eligible stipend.
Disclaimer: We are not affiliated with the Foundation for American Innovation. This article is provided for informational purposes only. Applicants should confirm eligibility, ethics requirements, funding, and application details directly with FAI before applying.
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