Get all your questions answered at TechCrunch Disrupt 2026: The full breakout session agenda revealed
First reported by TechCrunch ·
Breakout sessions at Disrupt 2026 offer direct access to experts discussing AI agent workflows, fundraising, and the inference economy.
TechCrunch has revealed the full agenda for its Disrupt 2026 conference, scheduled to take place from October 13-15 at Moscone West in San Francisco. The event is expected to draw over 10,000 founders, investors, operators, and tech leaders. A key feature this year will be breakout sessions designed for deeper dives into specific topics, offering direct Q&A opportunities with industry experts. These sessions will cover pressing issues such as building with AI agents, the economic shift from AI training to inference, the practicalities of "physical AI," fundraising strategies, and leveraging AI for company and team growth. Attendees can register for passes, with discounts available for group bookings and specific passes for recently laid-off individuals. The agenda highlights sessions on the "Inference Economy," building trustworthy AI, and the evolution of company building in the AI era.
The full agenda for TechCrunch Disrupt 2026, running October 13-15, reveals a strong focus on AI and its practical applications, moving beyond theoretical discussions to actionable insights for founders and operators. Sessions delve into the nuances of AI agent implementation, the economic implications of the shift from AI training to inference, and the emerging field of physical AI, indicating a market maturation where real-world deployment and value accrual are paramount. The conference agenda suggests that understanding how to effectively integrate AI into business operations and attract investment in this evolving landscape will be critical for success.
The emphasis on practical "how-to" sessions, from fundraising best practices to building growth engines with AI, signals a demand for tangible strategies in a competitive market. Specific discussions on differentiating in the inference economy and the challenges of physical AI execution highlight areas where significant innovation and investment are likely to occur. This focus suggests that attendees will leave with concrete takeaways to navigate AI's impact on their businesses, team structures, and investment strategies.
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