In the ashes of Terra’s collapse, we learned that systemic risk doesn’t care about your marketing narrative. Now, U.S. Treasury Secretary Scott Bessent is applying that same lesson to frontier AI models—and the crypto industry should be listening very carefully.
Last Thursday, Bessent dropped a quiet bombshell during a closed-door meeting with financial regulators. His proposal: create an independent agency, modeled after FINRA, to oversee all “frontier” AI models, housed under the Securities and Exchange Commission. The official rationale is to prevent AI-driven market manipulation and systemic failures. But from my seat in Hong Kong, watching the SEC’s decade-long war on crypto, I see a deeper strategic play: the agency is quietly extending its jurisdiction over every technology that touches capital markets—and AI agents trading on-chain are squarely in its crosshairs.
Context: Why Now and Why FINRA?
The proposal is not a spontaneous reaction to the latest deepfake scare. Bessent, a former hedge fund manager, has spent the last 18 months studying how the Financial Industry Regulatory Authority (FINRA) polices broker-dealers. FINRA is a self-regulatory organization funded by its members, with rulemaking and enforcement power delegated by Congress. Its model is efficient for securities, but its culture is deeply financial, not technological.
Bessent’s thinking: if a rogue AI model can trigger a flash crash in equities, it can also destabilize the $3 trillion crypto market. And who currently regulates AI risk? No one. The White House’s 2023 Executive Order on AI is voluntary; the EU AI Act is still being implemented. Bessent wants a hammer—fast.
But placing this under the SEC is a masterstroke—or a trap, depending on your perspective. SEC Chair Gary Gensler has already signaled that many crypto tokens are securities. If AI models that generate or trade tokens become regulated by the same agency, the SEC gains a unified regulatory front over both the technology and the assets it produces. This is the hidden agenda most analysts miss.
Core: The Technical and Market Shockwaves
Let me break down what Bessent’s proposal actually means for crypto-AI convergence, based on my experience analyzing smart contract risks since 2017.
1. The Regulatory Capacity Mismatch
The SEC knows securities law, not neural networks. Bessent’s plan would require examiners to audit model weights, training data provenance, and inference behavior. From my audit work on DeFi protocols, I’ve seen how regulators struggle with basic code review. Now imagine them evaluating a transformer architecture with 175 billion parameters. The gap is dangerous. It could lead to either overly broad bans on anything that looks “AI-powered”—such as automated market makers with machine-learning optimizers—or, worse, a rubber-stamp culture where only giant tech companies can afford the compliance paperwork.
2. Compliance as the New Moat
Here’s the data point that keeps me up at night: in 2024, the average cost for a U.S. crypto exchange to achieve MSB (Money Services Business) compliance was $2.4 million per year. For a frontier AI model with real-time trading agents, I estimate that number could be 10x higher. Bessent’s proposal essentially turns “safety” from a moral choice into a capital barrier. The winners will be companies like OpenAI (backed by Microsoft) and Anthropic—firms with $10B+ war chests. The losers? Every decentralized AI project on a shoestring budget that dared to challenge Big Tech.
We’ve seen this before in crypto. After the 2022 Terra collapse, regulators pushed for KYC on all DeFi frontends. It didn’t stop bad actors; it just made it harder for small, honest protocols to operate. The same dynamic will play out in AI: a “safe” label becomes a weapon against upstarts.
3. The RegTech Gold Rush (and Where Crypto Fits)
Bessent’s agency will need tools to audit AI models. Traditional binary analysis won’t cut it. This creates a massive opportunity for blockchain-based audit trails: on-chain evidence of training data, verifiable compute receipts, and zero-knowledge proofs for inference outputs. Companies like Modulus Labs (ZK for AI) could become the de facto standard for compliance.
But there’s a catch: if the SEC mandates that all model audit data must be stored on permissioned, off-chain databases, that defeats the purpose. The crypto community needs to fight for on-chain, transparent compliance—where every audit step is verifiable by any stakeholder. Otherwise, we get a “black box” regulator judging other black boxes.
4. The Hidden Agenda: SEC Power Expansion
This is the contrarian angle the mainstream outlets are ignoring. Bessent’s proposal explicitly calls for the new agency to sit under the SEC. Why not an independent commission like the CFTC? Because the SEC wants to claim all “digital frontier models” as instruments that affect securities markets. If a model’s output can be parsed as a token price prediction, the SEC argues it’s their turf.
From my 2017 Bitcoin.com ICO intervention, I learned that regulators often use narrow gateways to expand their domain. The SEC’s 2023 lawsuit against Coinbase used staking as a “security” hook. Here, the hook is “AI model used in trading.” Once inside, the SEC can demand access to the model’s full source code, training data, and user logs—effectively creating a centralized backdoor into every AI-powered platform in the U.S.
5. What This Means for DAOs and Token Models
DAO governance tokens already have a problematic legal status; Bessent’s proposal could worsen it. If a DAO uses an AI agent to vote on treasury allocations, does that make the AI a “fiduciary”? Under FINRA rules, any entity giving investment advice must be a registered broker-dealer. So an AI agent that suggests a yield-farming strategy could be deemed an unregistered broker. The chilling effect on autonomous organizations is severe.
Based on my 2020 Uniswap governance education work, I can tell you that the core value proposition of DAOs—decentralized decision-making—is incompatible with a regulator that requires a single responsible human. Bessent’s agency would likely demand that every AI agent have a “responsible operator” with a license. That kills the dream of truly autonomous organizations.
Contrarian: The Unreported Blind Spot
Everyone is assuming Bessent’s proposal will make AI safer. I see the opposite risk: it creates a false sense of security while centralizing the definition of “safe.” The agency’s criteria will be set by lawyers and political appointees, not by the communities building the technology. Remember how the SEC’s “Howey Test” has been twisted to classify NFTs as securities? The same will happen to AI.
Furthermore, the proposal ignores the global arbitrage problem. If China’s DeepSeek or France’s Mistral refuse to register with the U.S. agency, they can still serve U.S. customers via VPNs and decentralized networks. The only people hurt by the compliance requirement are U.S.-based developers, pushing innovation offshore. It’s a replay of the crypto exchange exodus to Singapore and Dubai.
Takeaway: The Next Watch
So what should the crypto industry do? Not panic, but prepare. Watch for two signals: first, whether Bessent’s proposal includes a specific threshold for “frontier” compute (like 10^26 FLOPs). If so, every Layer-2 using AI for MEV mitigation will need to calculate its compute budget. Second, monitor whether the final bill includes a “crypto carve-out” or explicitly targets token-inscribed models.
The choice is clear: either we design transparent, on-chain compliance frameworks now, or the SEC will impose opaque off-chain mandates that erode the very openness that makes crypto—and AI—revolutionary.
Human first, hash rate second. The resilience of this industry depends on building bridges, not walls—but we must ensure the bridges lead to a decentralized future, not a regulated tower.