SEC Discusses Regulation of Crypto-AI Convergence With Tech Firms

SEC Crypto Task Force dives into crypto-AI convergence as innovators demand urgent clarity on outdated rules stalling U.S. dominance in decentralized finance and intelligent systems.

SEC Crypto Task Force Examines Crypto-AI Integration in Financial Regulation

The U.S. Securities and Exchange Commission (SEC) published a memorandum detailing that on Sept. 8, 2025, its Crypto Task Force met in Washington D.C. with representatives from Collab+Currency Management, Nous Research, Tensor Garden AI, Prime Intellect, Atlas, and 404. In the memorandum, the SEC confirmed:

The topic discussed was approaches to addressing issues related to regulation of crypto assets.

The firms provided a joint document outlining their position on regulatory barriers and opportunities in the integration of artificial intelligence and crypto systems, which served as the foundation of the discussion.

During the meeting, participants emphasized what they labeled “Regulatory Considerations for AI-crypto Convergence.” The submission asked the Commission to “explore regulatory frictions for entrepreneurs, founding teams, and startups building at the intersection of AI and crypto.” The group also urged the regulator to “seek the Commission’s perspective on how securities law may or may not apply to different areas in the converging AI-crypto technology stack.”

Founders stressed that the lack of clarity on compliance could slow investment and deter progress for early-stage ventures. The dialogue placed particular weight on ensuring that oversight is not misaligned with the unique properties of decentralized networks.

In addition, attendees highlighted the importance of preserving U.S. leadership in open innovation and requested regulators to:

Discuss role of regulation and American innovation in emerging categories across both AI-crypto infrastructure layer and application layer.

To underscore this point, they presented examples of American-led startups developing protocols that merge decentralized computing with machine learning. While critics contend that combining crypto with AI may magnify oversight challenges, industry leaders countered that decentralized infrastructure could democratize access, reduce concentration risks, and improve transparency in large-scale AI development.