What is AI Council 2027?
Updated
AI Council 2027 is a technical AI conference for engineers, researchers, and founders who are actively building with AI. It is scheduled for March 23–24, 2027, at the Palace Hotel in San Francisco. The event positions itself around practitioner-led talks—"for humans who ship AI"—rather than general industry keynotes, so it is most useful if you want implementation-level detail from people working on AI infrastructure and products.
Who it's for
The stated audience is people building with AI in a hands-on capacity:
- Engineers working on AI systems, infrastructure, or applications
- Researchers dealing with training, post-training, and agent environments
- Founders building AI-native startups or products
If your interest is high-level market commentary or vendor sales pitches, this is a different kind of event. The framing is technical and practice-oriented.
When and where
| Detail | Information |
|---|---|
| Dates | March 23–24, 2027 |
| Location | Palace Hotel, San Francisco |
| Format | In-person conference with talks and panels |
| Prior edition | 2026 event (recorded talks available) |
What the program looks like
The conference emphasizes sessions about architectures and tools. Based on the 2026 program, topics included:
- AI-native startup building — how smaller teams use AI across workflows, code, and operations ("Born Different: How AI Natives Build Startups")
- Reinforcement learning environments — the bottleneck of accessing high-quality environments for post-training agents, and how expert knowledge gets curated into usable data ("The World Is Not Enough: RL's Environment Problem")
Past speakers listed include Hannes Mühleisen (Co-Founder & CEO, DuckDB Labs), Diogo Almeida (Co-Inventor of ChatGPT; Co-founder, TypeSafe AI), Nikhil Benesch (CTO, turbopuffer), Paige Bailey (Google), and others. This gives a sense of the technical seniority the event aims for.
Practical notes
- Speaker applications for 2027 were open at the time of the source page, with the 2027 speaker list still to be announced.
- Sponsorship is handled through a separate sponsor application; past sponsors are described as leaders in AI infrastructure.
- 2026 talks are available to watch, which is the best way to judge whether the content level matches your needs before committing to 2027.
- The source page does not list ticket prices, registration deadlines, or login requirements, so check the site directly for those details.
How to decide
If you want conference content aimed at people implementing AI systems—not just discussing them—and you can be in San Francisco on March 23–24, 2027, this is worth tracking. Start by watching a 2026 talk or two; if the depth matches your work, follow the site for 2027 registration and speaker announcements.