2.4 The Demand for Decentralization, Trust, and Economic Incentives

As Web3 adoption and privacy compliance requirements rise, the market is showing strong demand for verifiable computation, decentralized governance, and contribution-based economic incentives. According to HashtagWeb3, decentralized AI inference will become a major Web3 trend in 2025, leveraging cryptographic incentives to build censorship-resistant model execution networks. The Forbes ETHDenver 2025 Report lists seven key trends, among which the fusion of AI and Web3 highlights tokenized incentives — where compute providers, cache contributors, and model tuners are rewarded with governance tokens, aligning participant interests.

A Medium analysis predicts that by 2026, the leading trend will be “AI + Web3 integration (decentralized AI Agents)”, where token rewards for data and compute contributions enable a sustainable ecosystem. On the user side, market competition is expected to deliver lower costs and higher availability. Bigosoft notes that decentralized AI marketplaces will use blockchain to resolve centralized trust issues, advancing data ownership and the gamification of financial systems.

The LinkedIn Trend Report emphasizes that these mechanisms will reshape the Web3 landscape in 2025, offering privacy-preserving, low-cost execution environments for AI-driven applications.