Researchers from Cornell, CMU and Princeton publish survey on risks and opportunities at the intersection of crypto and AI

Researchers from Cornell Tech, CMU, Princeton, and Yale released a survey on June 8 examining where crypto and AI help or hurt each other. It warns that combining the technologies carelessly can introduce market abuse and new security risks.

Categorized in: AI News Science and Research
Published on: Jun 09, 2026
Researchers from Cornell, CMU and Princeton publish survey on risks and opportunities at the intersection of crypto and AI

Computer Scientists Release Comprehensive Survey on Crypto and AI Intersection

Over two dozen researchers from Cornell Tech, Carnegie Mellon University, Princeton University, Technion, and Yale University published a survey analyzing how cryptocurrency and artificial intelligence can benefit or harm users when combined. The Initiative for CryptoCurrencies and Contracts (IC3) released "Crypto x AI, AI x Crypto: A Survey" on June 8, 2026.

The survey identifies concrete opportunities and risks as the two fields converge. It serves as a reference for future research and development rather than promotional material.

What AI Can Do for Crypto

Machine learning models can help blockchains process real-world data, improve fraud detection, and enhance smart contract security. AI systems can also execute tasks based on high-level human objectives, making blockchains more autonomous and flexible.

What Crypto Can Do for AI

Cryptographic tools can create more secure data pipelines for generative AI and LLM model training. Decentralized infrastructure may increase trustworthiness in AI systems.

The Risks

AI-powered trading systems can enable collusion between autonomous agents and create unfair advantages through opaque strategies. Combining the two technologies without careful design can introduce new forms of market abuse.

The survey also notes a gap in research: while decentralizing AI pipelines-from training to inference to data sourcing-generates significant interest, few studies quantify whether decentralization actually reduces costs or improves outcomes.

Why This Matters

Ari Juels, a co-editor, described the challenge this way: "Crypto is a 'hard' technology, built on cryptographic primitives with rigorous security properties. AI is a 'soft' technology: No one fully understands or can fully trust the models on which it depends. Combining the two naively can be like soldering Jell-O."

The survey identifies areas where the combination works well and where it doesn't, helping organizations avoid costly mistakes while pursuing legitimate opportunities.

Access the full survey through IC3's website.


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