Women in AI x Ai4: Where AI Is Headed
As capital continues to flood into AI, the real question isn’t if the space is growing — it’s where it’s actually going next.
Join Women in AI at Ai4 in Las Vegas for a candid panel with leading investors shaping that future.
This conversation goes beyond the headlines: what VCs are actually backing, what signals matter right now, and how they’re thinking about defensibility in a world increasingly defined by foundation models, infrastructure shifts, and fast-moving applications.
We’ll cover:
• Where real opportunity is emerging in the AI stack
• What investors are (and aren’t) betting on right now
• How technical moats are evolving
• The role of open source in the next wave of companies
• What “long-term winners” actually look like in this cycle
Whether you're building, investing, or buying into AI systems, this session offers a rare look into how top VCs are filtering signal from noise.
Speakers
Claire Xie — Founder & CEO, Women in AI
Vibhor Rastogi — Head of AI Investing, Citi Ventures
Ray Wu — Managing Partner, Alumni Ventures
Ortal Sasson Hendin — Principal, Greenfield Partners
What to Expect
A fast-paced, high-signal panel with active discussion from investors shaping the AI ecosystem
Real conversations on where capital is moving next
A curated audience of founders, operators, and investors working directly in AI
Tickets
Tickets are hosted via Ai4. Please use the link below to purchase your pass and access the session.
🏛️ About the Hosts
Women in AI connects, empowers, and elevates female founders, investors, and engineers shaping the future of artificial intelligence. Through community, mentorship, and global events, we’re building a more inclusive AI ecosystem where women lead and innovate.
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Ai4 is America's Largest Artificial Intelligence Conference, bringing together thousands of executives, founders, investors, and technical leaders shaping the future of AI. The conference features curated sessions across the AI stack—from infrastructure and foundation models to applied AI and enterprise adoption—alongside high-signal networking designed to connect the people actively building and deploying AI in the real world.
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