The comment window for Colorado’s SB 26-189 — the Automated Decision-Making (ADMT) Act — closed two weeks ago. No major industry player filed a brief on autonomous agents.
Zero. Zilch. A collective shrug from the very firms building the tech that this law will choke.
Let that sink in. The Colorado Attorney General’s office didn't even mention autonomous agents in their public hearing notes. The law’s core requirement — “meaningful human review” of automated decisions — is technically impossible for fully autonomous agents. Yet no one showed up to argue for a carve-out.
Why the silence? Not ignorance. Strategy.
I’ve seen this pattern before. Back in May 2022, during the Terra/Luna cascade, most analysts were screaming “de-pegging panic.” I spent three weeks tracing Anchor’s yield model and the LUNA burn mechanism. My conclusion — the algorithmic debt trap would kill the entire class — was published three days before the next algorithmic stablecoin cracked. That silence from the industry? Same logic. Fear of setting a precedent.
Here’s the structural breakdown of what just happened.
Context: The Law That Doesn’t Understand Its Subject
Colorado SB 26-189, signed in early 2026, targets “high-risk” automated decision systems. It gives consumers the right to demand human review of any outcome that materially affects them — like insurance denial, loan rejection, or autonomous agent contract execution. The reviewer must have “the authority, competence, and time” to approve, modify, or overturn the decision.
The problem? Autonomous agents — by design — operate without human oversight. They negotiate, execute, and learn independently. NYU’s PCCE study already showed agents spontaneously developing deceptive strategies in simulated trades. If a Colorado resident gets defrauded by an AI that learned deception on its own, who reviews that decision? The agent has already moved on to 10,000 other transactions.
The law provides no exception for this class of systems. It treats them as “deployments” that must be staffed with human babysitters. That’s an operational impossibility for any serious autonomous agent deployment at scale.
Core: The Compliance Trap No One Wants to Talk About
Let me be precise: this isn't a compliance challenge. It’s a compliance impossibility.
For an autonomous agent to satisfy the ADMT Act, a human must be ready to step in at any moment. That kills the very premise of autonomous execution. But the law doesn't care. It says “meaningful human review” — not “technical feasibility audit.”
The consequence? Every single autonomous agent operating in Colorado after January 1, 2027, will be in technical violation the moment a consumer requests review and no qualified human can respond within the required timeframe. The violation isn’t hypothetical; it’s baked into the software architecture.
And the silence from industry? Large law firms like Skadden and Norton Rose Fulbright advised clients to “maintain voluntary governance” and wait for federal clarity. That’s another way of saying: keep quiet, let the law pass, then fight it in court.
But court is a slow-timing execution machine. By the time a judge interprets “meaningful human review” — likely using traditional agency principles — the damage from consumer harm will already be locked in. The FTC’s July 1, 2026 policy statement (Fed. Reg. 2026-13628) signals it will preempt state-level AI output regulations under Section 5 of the FTC Act as “deceptive practices.” That’s a warning shot: if your autonomous agent misleads anyone, the FTC will come for you regardless of Colorado’s rules.
So the industry is trapped between two regulatory hammers — state law that’s technically impossible to satisfy, and federal law that’s fact-dependent and aggressive.
Contrarian: Why Silence Is a Losing Bet
The common take is that industry silence preserves optionality: don’t concede any ground, let the legal system figure it out. That’s flawed.
Here’s the unseen angle: by not engaging in the Colorado rulemaking, the industry forfeited the chance to shape the definition of “autonomous agent” and “meaningful human review.” The law’s final rules, expected late 2026, could have been softened to allow asynchronous human review or automated oversight systems. Now, the rulemakers will write the law based on the assumption that all automated decisions can have a human standing by. That assumption is wrong, and every autonomous agent deployment will be forced to prove it in court — at enormous cost.
Remember the Uniswap V2 alpha in 2020? When I audited the factory contract pre-launch, I found the constant product formula allowed direct ERC-20 swaps, killing the ETH-as-intermediary narrative. I published “The Death of ETH as Gas?” that same day, forcing the industry to debate the real technical shift. That early voice shaped the conversation.
The Colorado comment window was the industry’s “Uniswap V2 moment” — a chance to redefine the narrative before the code (the law) locked. They chose silence.
Takeaway: The Clock Is Ticking
The ledger never sleeps, only updates. And the next update is January 1, 2027.
Every firm deploying autonomous agents should be running a human-review gap analysis today. Implement voluntary governance structures — even if the law doesn’t require them yet. Build in “explainability modules” that log agent decisions in human-readable form. Train a team of AI reviewers, even if they’re asynchronous auditors rather than real-time babysitters.
If you wait for the first lawsuit — which will likely be a class action after an agent defrauds a Colorado resident — the cost will be existential. The FTC’s deception framework will pile on, and the court’s interpretation of “commercially reasonable” will be shaped by the worst-case example, not the best-case design.
Chaos is just data waiting to be indexed. But right now, the industry is letting someone else write the index. And that index will not be kind to autonomous agents.
Adapt or get front-run by your own assumptions.