Introducing the 6 stages at TechCrunch Disrupt 2026 — built for today’s tougher startup market
TechCrunch Disrupt 2026, held October 13-15 in San Francisco, introduces six new stages to help founders and investors navigate the challenging startup market. The event focuses on current operational pressures, with sessions on fundraising, market fit, fintech evolution, and AI's real-world applications and infrastructure needs. Attendees can gain insights into market shifts and strategic positioning.
TechCrunch Disrupt 2026, scheduled for October 13-15 in San Francisco, is introducing six new stages designed to help founders and investors make faster, more informed decisions in today's complex and volatile markets. The event aims to address the operational pressures reshaping startup innovation, from AI-native competition to changing venture dynamics. Over 10,000 founders, investors, and operators will gather for more than 250 sessions. The new stages offer a hands-on approach to launching, building, and selling in the current tech industry landscape. The Disrupt Stage remains the central hub, featuring headline founders, technology leaders, and top-tier investors discussing broader market shifts. It also hosts the Startup Battlefield 200, showcasing promising startups. The Builders Stage focuses on the practical realities of company building, including fundraising, hiring, and achieving product-market fit in a demanding environment. Sessions tackle challenges like competing as a non-AI startup. The Smart Money Stage delves into the evolving financial infrastructure and fintech's ongoing relevance. It examines which financial technologies are driving durable growth and where market enthusiasm is waning, offering insights for fintech founders and investors. The Smart Systems Stage addresses the critical need for physical infrastructure to support AI expansion, focusing on energy, climate, and industrial systems. It explores the operational systems that modern software companies rely on but often overlook. The AI in the Real World Stage moves beyond AI hype to focus on the operational realities of deploying AI systems where reliability is paramount, such as robotics, autonomous systems, and manufacturing. It examines how trustworthy systems are built and the risks associated with deployment failures.
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