One of the world's largest asset managers has identified six key risks to the thesis that AI agents will drive blockchain adoption, warning that much of the value from AI agent activity may bypass public blockchains and their native tokens.
Fidelity Digital Assets, the cryptocurrency arm of Fidelity Investments, published research identifying six risks that could undermine the widely held assumption that AI agents will automatically drive demand for public blockchain networks and their tokens. The research comes amid growing excitement about the intersection of artificial intelligence and cryptocurrency, with many analysts predicting that AI agents will become major users of blockchain networks.
The AI Agent Thesis
The thesis that AI agents will drive crypto adoption is based on the idea that autonomous AI systems will need blockchain networks to transact, store value, and execute smart contracts. As AI agents become more sophisticated and take on more autonomous tasks, they will need financial infrastructure that operates without human intervention, and public blockchains are well-suited for this purpose because they operate 24/7 without requiring human intermediaries.
This thesis has driven significant investment in projects that combine AI and crypto, with many tokens associated with AI-related blockchain projects experiencing substantial price increases. The excitement has been compared to the DeFi boom of 2021, with investors betting that AI agents will become the next major driver of blockchain activity. However, Fidelity's research suggests that the reality may be more complicated than the bullish thesis implies. For more on AI and crypto, see our coverage of OKX's AI spending.
The Six Risks Identified by Fidelity
Fidelity identified six risks that could prevent AI agents from driving significant blockchain activity. First, AI agents may not need public blockchains at all, as they could use private databases or centralized payment systems to transact. If AI agents can operate effectively without blockchain technology, the demand for public blockchain networks and their tokens would be limited.
Second, even if AI agents do use blockchain networks, they may not need native tokens. Many blockchain networks allow users to pay transaction fees in stablecoins or other assets, meaning that AI agent activity would not necessarily drive demand for the network's native token. Third, the cost of blockchain transactions may be too high for AI agents that need to make frequent, small transactions. Fourth, regulatory uncertainty around AI and crypto could limit the integration of the two technologies. Fifth, technical challenges related to scalability and interoperability could prevent AI agents from effectively using blockchain networks. Sixth, competition from centralized alternatives could reduce the need for blockchain-based solutions. For more on crypto and AI convergence, see our coverage of the DOJ's AI antitrust probe.
Contrast with Grayscale's View
Fidelity's cautious assessment contrasts with a more bullish view from Grayscale, which recently named four blockchain networks that it expects to benefit from AI agent adoption. Grayscale's research identified networks with high throughput, low fees, and strong developer ecosystems as the most likely beneficiaries of AI-driven blockchain activity.
The contrasting views from two of the crypto industry's most respected asset managers highlight the uncertainty surrounding the AI-crypto thesis. While Grayscale sees significant upside potential from AI agent adoption, Fidelity cautions that the benefits may not flow to public blockchains and their tokens. The debate is likely to continue as AI agents become more prevalent and their impact on blockchain networks becomes clearer. For more on institutional crypto research, see our coverage of Franklin Templeton's tokenization initiative.
What This Means for AI-Crypto Investors
Fidelity's research is a reminder that the AI-crypto thesis, while compelling, is not guaranteed to play out as many investors expect. The six risks identified by Fidelity suggest that investors should be selective about which AI-crypto projects they invest in, focusing on those that address the risks rather than simply assuming that AI agent activity will automatically drive token demand.
The research also suggests that the most successful AI-crypto projects may be those that solve specific problems for AI agents, such as providing low-cost transaction infrastructure or enabling secure data sharing, rather than those that simply slap an AI label on a blockchain project. As the AI and crypto industries continue to evolve, investors should monitor how AI agents actually interact with blockchain networks to assess whether the bullish thesis is playing out. For more on crypto investment research, read our coverage of VanEck's Bitcoin analysis.
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