I had an interesting reflection on why many Web3 AI projects fail to take off while their Web2 counterparts dominate the market. And I think people are misunderstanding what it really means for Web3 to innovate in this space.

I often hear the argument that criticizing Web3 AI is the same as preferring Web2. But that’s not it. Just because we focus on both doesn’t mean we’re choosing sides. The truth is, many Web3 projects promised everything and delivered little. The tokens went to zero, people were disappointed. Why? Because they tried to compete directly with Web2 teams in pure technical innovation, and they lost.

What intrigues me is that no one wants to admit that Web2 has advanced a lot in talent, innovation, and practicality. That’s a fact. But then the question is: why does Web3 need to compete in the same game? It should have its own path.

Thinking about it, Web3’s differentiator isn’t about revolutionizing technology itself. It’s about opening genuine opportunities for AI and Crypto to work together. And that’s when things really change. When you take old narratives that were highly speculative and position AI as a new productivity catalyst, then something interesting is happening.

Projects entering now, from both Web2 and Web3 developers, need to stop copying Web2 and start thinking differently. Leverage tokenomics, decentralization, advantages of resources that only Web3 has. That’s true innovation.

Web2 dominates in scalability and user experience, okay. But Web3 has space where Web2 doesn’t want to go: distributed trust structures, incentive network design, on-chain components that go beyond agent computation. That’s where Web3 can shine. That’s where the future of AI will inevitably pass through. And that’s exactly what most people aren’t thinking about.