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Virtual Event

Crunchbase Predicts

Agentic AI –What VCs Are Betting On In 2026

Agentic AI is reshaping how investors think about the next wave of startup creation, competitive advantage, and capital allocation. Join Crunchbase and leading investors for a forward-looking conversation on where autonomous and semi-autonomous AI systems are gaining real traction, how investors are evaluating opportunities across the AI stack, and what they expect to dominate the 2026 funding landscape.
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Wednesday, April 22 | 1 pm ET / 10 am PT

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What You’ll Learn

01

Where Agentic AI Is Gaining Real Traction

A look at the use cases already creating value, the sectors likely to adopt fastest, and the signals about where momentum is building.

02

How Investors See the AI Stack Taking Shape

Hear how VCs & CVCs are evaluating opportunities across infrastructure, models, tooling, and applications — and where they believe the strongest investment potential lies.

03

Where AI Will Create Winners in 2026

Explore the most compelling areas for new company formation and investment over the next 12–18 months, and how AI is reshaping competition for startups and established companies.

Meet Your Speakers

Nnamdi Okike

Co-Founder & Managing Partner
Nnamdi oversees 645 Ventures’ investing strategy, governance and compliance, backing high-growth software and technology companies as they scale.

Tiffany Luck

Partner
Tiffany joined New Enterprise Associates in 2023 as a Partner on the technology team focused on early-stage AI, APIs and B2B SaaS.

Daniel Doctor

Managing Director
Daniel is Managing Director at Dell Technologies Capital, the early-stage investment arm of Dell Technologies. He focuses on enterprise AI, cloud infrastructure, data, and silicon.

Gené Teare

Research Lead
Gené is a journalist and Research Lead at Crunchbase with a decade of experience in data journalism. She specializes in analyzing global funding trends, unicorn creation, and leads an AI investor series.

Who Should Attend

  • Venture capital investors and corporate venture teams
  • Startup founders and executive teams
  • Product, strategy, and innovation leaders
  • Operators, analysts, and business leaders tracking AI market shifts