Disrupt 2026 Roundtables: AI, Funding and Robotics Agenda
Disrupt 2026 brings 10,000+ tech leaders to San Francisco from October 13-15 for roundtables on AI, funding, robotics, SaaS, finance and scaling challenges.
Summary
Disrupt 2026 expects more than 10,000 founders, investors, operators and technology leaders at Moscone West in San Francisco from October 13-15. Passes include interactive sessions across two dedicated roundtable spaces. Registration before doors open saves up to $100 and provides 50% off a second pass.
The agenda covers physical AI, enterprise agents, SaaS, IPO preparation, specialist model data, healthcare, quantum computing, commerce, cybersecurity, scientific discovery, fundraising and financial management. Radha Basu of iMerit will examine robotics data, Rajeev Singh of Smartsheet will address fragmented enterprise software, and Pigment’s Eléonore Crespo and Chime’s Sofia Fatakhova will discuss AI-supported IPO readiness. Other sessions involve Nvidia, Anthropic, Databricks, Walmart, PitchBook, UC Berkeley SCET, Base10 Partners and Upfront Ventures. Attendees can question speakers and compare strategies on production reliability, investor selection, dilution, workflow integration and scaling. The quantum session’s speaker remains unannounced.
Positives
- 10,000+ founders, investors, operators and technology leaders are expected at Moscone West from October 13-15.
- Two dedicated spaces will host interactive sessions included with every Disrupt 2026 pass.
- Up to $100 in pass savings and 50% off a second ticket remain available before doors open.
- Nvidia, Anthropic, Databricks, Walmart and PitchBook representatives broaden the agenda beyond startup founders and venture investors.
- Physical AI, IPO finance, fundraising and enterprise agents receive practical sessions focused on deployment and business decisions.
Risks & concerns
- The quantum computing roundtable still has no announced speaker.
- Many enterprise AI projects remain trapped in pilot stages because trust, verification and production scaling are unresolved.
- Physical AI products face edge cases, unreliable data pipelines, difficult workflow integration and uncertain returns beyond demonstrations.
- Frontier AI’s proposed $100 billion entry barrier raises concerns about capital concentration and competition outside the largest laboratories.
- Overfunding, dilution, weak investor alignment and poorly structured cap tables can undermine later company growth.