Blockchain Evolution Finance Infrastructure to AI Agents
Blockchain technology has evolved from digital payments to decentralized finance and now infrastructure and AI agents reshaping industries
Sky Wee, founding partner of Sky Ventures and partner of ATF Capital, explores blockchain's transformative journey.
(Image: Getty)
Initially dismissed as a novelty in 2009, blockchain technology has grown into a projected $390+ billion market by 2030 (MarketsandMarkets), attracting attention from central banks and corporations worldwide.
Key Evolutionary Stages:
1. DeFi: The Financial Revolution
- Decentralized finance protocols created parallel financial systems without traditional intermediaries
- Sector hit $153 billion in total value locked in July 2025 (CoinDesk)
- Mature platforms now integrate with established protocols like Aave and Compound
- Analytics platforms like CryptoRank provide crucial market transparency
2. DePIN: Decentralizing Physical Infrastructure
- Blockchain extends to coordinating real-world resources (bandwidth, energy, storage)
- Shifts infrastructure control from corporations to decentralized networks (CoinTelegraph)
3. AI Agents: The Next Frontier
- Autonomous AI agents can make decisions and transact on blockchain networks
- Combines AI intelligence with blockchain's decentralized execution (CoinTelegraph)
- Potential for self-sustaining systems without constant human oversight
Business Implications
- Blockchain now affects multiple industries beyond finance
- Key challenges: balancing innovation with security, compliance and usability
- Future leadership will require building both novel systems and user trust
The technology that began with digital payments may ultimately find its greatest impact in infrastructure coordination and intelligent agent systems, potentially transforming how we interact with digital and physical environments.
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About the Author

Alex Thompson
AI Technology Editor
Senior technology editor specializing in AI and machine learning content creation for 8 years. Former technical editor at AI Magazine, now provides technical documentation and content strategy services for multiple AI companies. Excels at transforming complex AI technical concepts into accessible content.