When a former White House tech adviser publicly declares that President Trump "will not back" the creation of a federal AI regulator, the crypto-native mind immediately sees a governance fork. The same week that Anthropic publishes a 15-page plea for a U.S. AI safety agency, the opposing branch of the political tree signals a hard fork: no central authority, no mandatory compliance, just the raw, unmediated forces of market and code.
I’ve been here before. At 19, during the ICO mania of 2017, I spent three months auditing smart contracts in my cramped Tokyo apartment, tracing logic flaws that speculators didn’t want to see. Back then, the battle was between trust-minimized code and the promise of a central bank coin. Today, the battle is between a centralized AI regulator and the idea that algorithmic innovation should be permissionless—an idea that sits at the very heart of blockchain philosophy.
But a fork is never clean. Let’s trace the full block.
Context: The Two Layers of the Regulatory Debate
The news is thin—a single quote from a departing advisor, reported by Crypto Briefing, a publication that itself leans toward the anti-establishment. But the signal is dense. Trump’s camp opposes a federal AI regulator, aligning with a broader deregulatory stance. In the crypto world, this could be interpreted as a win for the innovators who fear that premature regulation will smother open-source development, decentralized training, and community-governed AI models.
Yet the context is deeper. The European Union already passed the AI Act, a risk-based framework that imposes compliance burdens on high-risk systems. China has its own model, demanding alignment with state values. The U.S., under Biden, issued an Executive Order requiring reports on large AI models. Trump’s rejection would overturn that order, leaving the landscape to a patchwork of state laws and industry self-regulation.
As a Web3 community founder, I see a familiar pattern. In the blockchain summer of 2021, I co-founded Neo-Tokyo Punks, a cultural NFT project that raised $250,000 for traditional art preservation. We had no regulator—only a smart contract and a community charter. It worked… until the crash. Then we realized that without a shared consensus mechanism, the community scattered.
Core: Decentralization as a Moral Compass, Not an Excuse for Ambiguity
Let’s go deep into the technical and value implications. The core insight lies in the distinction between a regulator and a ruleset.
First, the technical layer: AI models, like smart contracts, are deterministic in execution but probabilistic in outcome. A decentralized AI model trained on open data and governed by a DAO could theoretically be audited by anyone. But without a standard—like an ERC-20 for AI safety—each project invents its own test suite. I learned this lesson the hard way when I audited a decentralized storage project in 2017 and found that its token distribution mechanism was mathematically equivalent to a Ponzi scheme. The code was correct; the logic was flawed.
Now apply that to AI. The Trump camp’s opposition to a federal regulator could lead to a thousand flowers blooming, but also a thousand smart-contract hacks. Without a binding standard, who defines “fairness” or “transparency” for an AI model? The market? The public? Or the founder who holds the private key?
Second, the value layer: “Code is law” is a dangerous oversimplification. In the blockchain world, we learned that pure on-chain governance is slow and vulnerable to plutocracy. The best DAOs blend code with off-chain consensus—community calls, reputable delegates, signaling votes. A regulator is a primitive form of off-chain consensus. The question is whether it’s a centralized bottleneck or a decentralized oracle.
At 22, during DeFi Summer, I founded “ChainLit,” a volunteer-run library to teach DeFi to Tokyo’s non-technical crowd. I had bursts of creativity but no structure. The project failed because I couldn’t maintain content schedules—a classic ENFP flaw. I now realize that evangelists need scaffolding. The same is true for AI regulation. You can’t just say “no regulator” without offering a scaffold for trust.
Contrarian: The Hidden Cost of No-Code Governance
Here’s the counter-intuitive angle that most crypto advocates miss: opposing a federal AI regulator might actually hurt the permissionless innovation that we cherish.
Consider the precedent of data privacy. The EU’s GDPR is strict, but it gave a clear standard that allowed startups like ProtonMail to compete with Gmail. In the U.S., without a federal privacy law, startups face 50 different state laws, each with different requirements. The burden of navigating that patchwork falls hardest on small teams. Big incumbents like Google and Meta already have compliance teams. They can afford ambiguity; startups cannot.
The same logic applies to AI. If Trump blocks a federal regulator but states like California and New York pass their own AI safety laws, then a small AI startup in Tokyo wanting to sell to the U.S. market must comply with multiple regimes. That’s not a permissionless innovation—it’s an expensive maze.
Moreover, the opponents of a regulator often conflate “regulator” with “censor.” But a well-designed regulator can be a neutral clearinghouse for standards, much like how the Ethereum Foundation provides a repository for EIPs but doesn’t enforce them. In my work as a Web3 community founder, I’ve seen that the most successful projects have a clear, transparent set of rules—whether written in code or in a constitution. The worst projects are those with no rules at all, where the founder can change the tokenomics overnight.
During the 2022 bear market, I watched my own community dissolve. I retreated to my apartment, depressed, but then discovered Optimism’s OP Stack. I wrote a thread arguing that modular blockchains could solve Ethereum’s congestion without sacrificing decentralization. The post went viral not because I was a genius, but because I offered a structured framework for thinking about scalability. Structure is not the enemy of innovation; unstructured chaos is.
Takeaway: The Fork We Need to Build
The Trump camp’s rejection of a federal AI regulator is not inherently good or bad. It is a fork—a choice of governance path. As a blockchain evangelist, I believe in the power of decentralization, but I also believe that decentralization without coordination is just anarchy.
We have an opportunity here. The crypto industry has spent a decade building decentralized governance tools: DAOs, quadratic voting, on-chain reputation, optimistic governance. These tools can be applied to AI oversight. Instead of a federal agency, we could build a multi-stakeholder consortium where model weights are verified by a network of auditors, and where community votes determine which models are allowed in certain applications.
Yes, that’s ambitious. But so was the idea of a global, censorship-resistant ledger in 2010.
So the next time a politician says “no regulator,” ask not what the state will do, but what we, the community, can build. Open books, open ledgers, open hearts. Chaos is just creativity waiting for structure.
Tracing the code back to the conscience.
