U.S. Commodity Futures Trading Commission Chair Michael S. Selig said blockchain can help markets verify whether online content is authentic or AI-generated.
He made the comment as regulators face growing concerns about fake media, automated trading tools, and the use of AI in finance. He made the remarks on Thursday, March 26, during an appearance on The Pomp Podcast.
His comments came as the CFTC pushes a wider update to its approach on crypto, artificial intelligence, and prediction markets.
Recently, the agency launched a new Innovation Task Force to work on rules for crypto assets, blockchain systems, AI and autonomous tools, and event contracts.
Selig links blockchain tools to AI content checks
Selig said blockchain can help address one of the biggest problems in the AI era: proving whether an image, meme, or post came from a real source.
He said timestamping content and attaching an identifier could help users and markets check authenticity. In the podcast, he said blockchain could help people “verify if it’s real or generated by AI.”
The comment placed content verification inside a market context, not just a social media one. As AI-made posts spread faster and become harder to detect, regulators and trading firms face a growing risk that false or unclear material could move prices, shape sentiment, or trigger trading activity before facts emerge.
Furthermore, Selig also said the agency does not want to overreach as AI tools become more common in markets. He said the CFTC should focus on the people using tools in financial activity, not the developers who build software.
He described that view as a “minimum effective dose of regulation,” a phrase he has also used in recent official remarks and speeches.
That approach now sits at the center of the CFTC’s latest policy work. On March 24, the agency launched its Innovation Task Force and said it will develop a clear framework for crypto assets and blockchain technologies, AI and autonomous systems, and prediction markets and event contracts.
The CFTC also said the new unit will coordinate with federal agencies, including the SEC and its Crypto Task Force.
Proof-of-human tools move from concept to product
Selig’s remarks also matched a broader effort in the private sector to build tools that can separate real users from automated systems. On March 17, World announced AgentKit beta, a toolkit that lets a verified human delegate a World ID credential to an AI agent.
World said the system works with Coinbase’s x402 protocol so agents can make payments while also showing cryptographic proof that a real person stands behind them.
Supporters say these systems can help websites and apps treat useful agents differently from spam bots. Critics, however, continue to question how proof-of-human systems handle privacy, identity, and user consent.
Even so, the market is moving toward tools that mix payment rails, identity checks, and cryptographic records in one workflow, which makes Selig’s comments part of a wider policy and product shift.
Prediction markets and AI oversight now move together
The CFTC’s latest moves show that the agency does not view AI in isolation. In late February, the agency’s Division of Enforcement issued an advisory after two enforcement cases tied to misuse of nonpublic information and fraud in prediction markets on KalshiEX.
On March 12, the Division of Market Oversight issued another advisory on event contracts and urged exchanges to take proactive steps as prediction markets grow.
Private platforms have also started tightening their own rules. Polymarket said this week that it published enhanced market integrity rules across its decentralized platform and its CFTC-regulated U.S. exchange, with new guidance on what conduct is banned, how it monitors activity, and how users can report suspicious behavior.
The timing shows how fast regulatory and commercial responses are now moving around event-driven markets.
Federal AI policy adds to the pressure for clear standards
Selig’s podcast remarks also landed during a wider debate in Washington over how the United States should regulate AI.
On March 20, the White House released a national AI policy framework that called for a single federal approach instead of a patchwork of state rules.
As Coin headlines reported, the plan said a unified system would help innovation, protect children, and support U.S. competitiveness.
That backdrop gives Selig’s message added weight. His view suggests that U.S. regulators may try to let blockchain-based verification, proof-of-human tools, and market surveillance systems develop alongside AI, while keeping enforcement focused on fraud, manipulation, and actual market conduct.
For crypto firms, AI developers, and prediction market operators, the direction from Washington now looks more focused on narrow oversight than broad restriction.