Key Takeaways:
Animoca Brands launched a $10M fund targeting early-stage agentic AI, calling the sector as early as OpenAI circa 2020.Yat Siu says the $900B advertising industry will shift to AI agents, routing discovery value to blockchain networks.Siu projects 1,000x productivity gains and advises retail investors to build wide baskets across 50 to 70 AI companies.“The productivity growth in AI is literally a 1,000x,” Siu said. “So we think the return profile is going to be a thousand-x amongst sort of the top companies.”
A $10M Bet on the Next WebHe pointed to December 2024 as the approximate start of social agentic AI as a real movement, noting that most of the public is still thinking in ChatGPT mode: asking questions rather than delegating full tasks.
Agents as the New Internet Layer“Advertising is an almost $900 billion industry a year, which is all about discovery, and it will completely be flipped upside down,” Siu said. “All of that value is going to go to the agents who are going to find stuff for you.”
He said companies pitching to consumers in the next two to three years will be building MCP servers and CLI tools designed to reach agents, not humans.
Ghost GDP and New EconomiesOn the question of so-called ghost GDP, where AI agents transact with each other without human enrichment, Siu pushed back on the pessimistic read.
“Entire new economies come where humans either create agents or themselves want to go and say, ‘Hey, look at this, I want to offer you something here,'” Siu said. He compared the dynamic to Adam Smith’s invisible hand: the activity looks abstract until the downstream value materializes.
He said AI agents owning assets creates a new class of buyers, and humans who can produce things those agents value will benefit directly.
Every Worker Becomes a ManagerOn labor, Siu said the most valuable skill going forward is agent orchestration, not task execution.
“You’re hired because you can manage 10 agents well or 20 agents,” he said. “The person who can manage 100 agents or 200 agents will be more valuable than the person who can manage only one.”
He projected GDP expansion, not contraction, drawing a parallel to the personal computing era. The same argument, he said, applies to music, programming, and media: the barrier to creation drops, output proliferates, and the people with the clearest vision rise.
For retail investors, Siu said broad basket exposure to early-stage agentic AI companies is the most practical path, even if it means holding 50 to 70 positions. One Anthropic-scale outcome in that group, he said, justifies the approach.
