The Builders in AI x Web3 I Am Learning From Right Now
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Neeraja Tokekar on AI x Web3 builders in 2026: who they are, why their architecture choices matter, and what founders should study before scoping a product.
Frequently Asked Questions
- The AI x Web3 convergence space refers to projects combining on-chain infrastructure with artificial intelligence, including AI agents that execute transactions, on-chain inference networks, and AI-managed tokenized asset portfolios. It matters for founders because the blockchain AI market is projected to grow from USD 1.56 billion in 2026 at a CAGR exceeding 39 percent annually, and the builders operating here now are defining the infrastructure and standards the next generation of products will be built on.
- Niraj Pant and Akilesh Potti at Ritual are building an EVM-compatible Layer 1 designed natively for AI inference. The Artificial Superintelligence Alliance, formed by the merger of Fetch.ai and SingularityNET, is building decentralized AI infrastructure at scale. On the RWA x AI side, platforms like IXS are launching regulated investment layers purpose-built for AI agents. These builders share a common trait: they are designing for AI as a first-class participant in on-chain systems, not a bolt-on feature.
- Three lessons stand out. First, build infrastructure before the demand peak: the builders getting the most attention in 2026 started their work in 2023 and 2024 when the market was quiet. Second, treat AI agents as economic actors, not purely automation tools: the most durable products give agents the ability to hold assets, execute transactions, and manage risk autonomously. Third, compliance is not optional: the projects attracting institutional capital are the ones that built regulatory-ready frameworks from day one, not retrofit them later.
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