Is Web3 Still for Developers - or Just for Speculators With a GitHub Account?

2026-04-01 · Source: HackerNoon · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Blockchain & Distributed Ledger Technology, Entrepreneurship & Start-ups · Depth: Intermediate, medium

Summary

Weekly crypto code commits have plummeted by nearly 75% since early 2025, from 850,000 to 210,000, with active developers decreasing by 56% to 4,600. This exodus coincides with AI attracting over $258 billion in venture funding in 2025, compared to crypto startups' $18-20 billion. Uttam Singh, Senior Developer Relations Engineer at Alchemy, attributes this shift to AI's strong fundamentals and capital influx, contrasting with crypto's market correction towards utility over hype. He notes that while crypto developer activity is cyclical, AI presents a unique, massive shift. Singh also highlights that current crypto use cases like payments and DeFi may not appeal to all developers, and regulatory uncertainty deters long-term commitment. However, he believes the long-term direction for crypto remains strong, especially as financial systems, identity, and ownership move onchain.

Key takeaway

For AI Product Managers evaluating new ventures at the AI x crypto intersection, you should prioritize solving validated problems rather than combining technologies for novelty. Focus on how crypto can address AI's payment or coordination challenges, or how AI can enhance crypto's usability, leveraging existing infrastructure to accelerate development and achieve product-market fit.

Key insights

AI's strong fundamentals and capital are drawing talent from crypto, which is undergoing a market correction.

Principles

• Market downturns shed less committed developers.
• Sustainable projects require real revenue models.
• Ethereum values deep technical understanding.

Method

Prioritize understanding real problems at the AI x crypto intersection before building. Focus on gaps where one technology can solve issues for the other, and build on existing infrastructure rather than reinventing it.

In practice

• Validate product-market fit before token launch.
• Leverage existing payment rails for AI x crypto.
• Focus on utility for long-term crypto project viability.

Topics

• Web3 Developer Exodus
• AI Funding
• Onchain Payments
• Product-Market Fit
• Ethereum Protocol

Best for: AI Engineer, AI Product Manager, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by HackerNoon.