TechCrunch Disrupt 2026 to Feature 10,000+ Attendees and Key AI Sessions
- Published
- Oct 6, 2026 — 14:00 UTC
TechCrunch Disrupt 2026 Overview
TechCrunch Disrupt 2026 is set to host over 10,000 attendees from October 13-15 at Moscone West in San Francisco. The event will feature breakout sessions lasting 50 minutes each, covering critical topics in AI and technology.
Key organizations participating include Anthropic, Forum AI, Cerebras Systems, and General Catalyst, among others. Notable discussions will address the evolving role of AI in various industries, with speakers such as Susan Schofer and Duncan Turner emphasizing that "AI is moving beyond software and into machines that need to perceive, reason, and act in unpredictable environments."
Registration discounts are available, including a maximum of $100 off for early sign-ups and a 50% discount on a second pass. Additionally, laid-off individuals can obtain an Expo+ Pass for $75.
The agenda includes sessions on AI-agent workflows, accuracy in AI applications, and the shifting economics of AI from training to inference, with insights from experts like Robbie Goldfarb and Hagay Lupesko. Dr. Rumman Chowdhury will discuss how the fundamentals of building a company have remained constant, despite changes in tools.
The event follows previous discussions on AI's implications in various sectors, including a recent focus on AI-generated content and its regulation. This year's Disrupt aims to bridge the gap between opportunity recognition and action in AI development, as highlighted by Patrick Burke's assertion that "AI is compressing the distance between spotting an opportunity and acting on it."
Overall, TechCrunch Disrupt 2026 promises to be a significant gathering for AI professionals, offering insights into the future of AI technologies and their applications across industries.
By Turing Wire Newsdesk · Oct 6, 2026 · How we work →
Summarised from TechCrunch AI's original report by the Turing Wire Newsdesk. Read the original for the full story.
Source: TechCrunch AI
