How We Became an AI Agent Unicorn

Agentic AI is the boardroom priority of 2026, and Genspark is one of its fastest-rising names. From multi-agent orchestration to autonomous execution, agent-first companies are rewriting what a lean, high-velocity startup looks like.

The session

In this Day 2 keynote, Kay Zhu shares the inside story of building an AI-agent unicorn — the product bets, the technical architecture, and what a “lean AI economy” means for the next wave of founders and enterprises.

Why it matters now

Agentic AI has overtaken generative AI as the top enterprise priority. For founders and operators, Genspark's trajectory is a live case study in how agent-first products reach scale with unusually small teams.

About the speaker

Kay Zhu is Co-founder & CTO of Genspark, one of the most talked-about AI-agent companies of this cycle, building autonomous agent products used at scale.

Key Takeaways

1. Agent-first scale — how agent-native products reach scale with small teams.
2. The lean AI economy — what it means for founders, investors, and operators.
3. Signal vs. hype — where autonomous agents create durable advantage.

Session at a Glance