The AI Conference™ is a groundbreaking multi-day event exploring Agentic AI, AGI, frontier models, infrastructure, security, governance, evaluation, AI startups, emerging architectures, and real-world enterprise applications.
Skip to content ## THE AI CONFERENCE 2026 #### SHAPING THE FUTURE OF AI - Sept 29 - Oct 1 - SAN FRANCISCO ## GET $1,825 OFF FIND TICKETS ## Price Increase Days Hours Minutes Seconds SPEAKERS Meet the first confirmed of 120+ speakers for The AI Conference 2026. Additional speakers, presentations, and features will be announced weekly. ###### Peter Norvig Distinguished Education Fellow Peter Norvig is a Distinguished Education Fellow at Stanford’s Human-Centered Artificial Intelligence Institute and formerly directed research at Google and NASA’s Ames Research Center. Wikipedia-w Globe Linkedin ###### Emmanuel Ameisen Interpretability Researcher Emmanuel Ameisen is an interpretability researcher at Anthropic, where he works on understanding how large language models work internally. Globe Linkedin X-twitter ###### Sarah Chieng Head of Developer Experience Sarah Chieng leads Developer Experience at Cerebras, focusing on AI hardware and developer ecosystems, and founded Cafe Compute, a community for AI builders and researchers. Globe Linkedin X-twitter ###### Ryan Lopopolo Member of Technical Staff Harness Engineering: How to Build Software When Humans Steer and Agents Execute Builds agent‑first development workflows at OpenAI, authoring the Harness Engineering framework. Globe Linkedin Github X-twitter ###### Jaclyn Konzelmann Product Director The Agentic Shift: How to Build Products When AI Can Actually Do Things Leads AI‑first products at Google Labs, including Gemini API and Google AI Studio. Globe Linkedin X-twitter ###### Marco Paglia President - Product & Engineering Lyrics: The Language Model of Music Leads product and engineering at Musixmatch, the global music data company. Linkedin Youtube Medium ###### Jon Pappas Sr. Dir. Technical Product Management Beyond the Benchmark: Building for the Complexity of Real Marketplaces Leads AI‑powered talent search, matching, and deployment at Upwork. Linkedin Github ###### Yogiraj Awati Engineering Manager Deploying LLMs in Production to enhance grocery shopping Leads large-scale AI and RAG platforms powering Instacart’s grocery experience. Linkedin Github ###### Malika Aubakirova Partner Malika Aubakirova is a partner on the AI Infrastructure team at Andreessen Horowitz and previously led engineering at Chronicle Security (now part of Google Cloud), with degrees from the University of Chicago and Stanford GSB. Globe Linkedin X-twitter ###### Pallavi Kinnera Chip Designer One of the Most Complex Thing Humans Build: How AI Is Finally Cracking Chip Design Leads AI‑driven automation for advanced‑node chip design at Meta Reality Labs. Linkedin ###### Shuen Mei VP, Director of Software and Data Engineering Act–Verify–Refine: The Future of Adaptive Investment Agents Leads AI, data, and software teams building Harbor Capital Advisors’ data, cloud, and integration platforms across financial services. Globe Linkedin ###### Pratyusha Singaraju Senior Software Engineer The Content Machine: Orchestrating Content Workflows at Netflix Scale Designs and builds AI‑powered backend services driving content understanding for Netflix search and discovery. Linkedin ###### Julia Diament Principal AI Architect, Office of the CTO Cyber Offense Hits Its Moore’s Law Moment – when compute gets cheap, persistence becomes the exploit. Brings 18+ years of AI and security expertise to Microsoft’s Office of the CTO, focused on adversarial threats and secure‑by‑design patterns. Linkedin ###### Divya Mahajan Software Engineer 8 Ways Production Agents Fail Silently (And the Detection Patterns That Catch Them) Builds production‑grade agentic AI and LLM systems at Alexa scale, leading evaluation and multi‑turn workflows for Alexa+ users. Linkedin ###### Ruiyang Wang Member of Technical Staff Safe PDF Processing at Scale: A Sandbox-Rasterize-OCR Architecture Builds infrastructure and data systems behind Anthropic’s large language models, previously at Anyscale and Google Cloud. Linkedin Github ###### Vidya Meenakshi S
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