OpenAI, Anthropic, and Google are currently deep in negotiations to build a shared self-regulatory standards body for artificial intelligence. If you think this is purely a selfless move to save humanity from rogue algorithms, you haven't been paying attention to how tech monopolies protect their turf.
The initiative traces back to a proposal by Google DeepMind's Demis Hassabis, who pitched a hybrid watchdog modeled after Wall Street's FINRA. Under the concept, an elite group would pre-screen massive AI models before public release. Sam Altman and Dario Amodei have climbed on board, pointing to growing anxiety over runaway technological acceleration.
But smaller players and open-source advocates smell a rat. When market-dominant labs band together to write the rules of their own industry, it rarely benefits the underdog.
The Monopoly Playbook Disguised as Safety
Look past the press releases and you'll spot a classic regulatory capture strategy. Cohere CEO Aidan Gomez didn't hold back, labeling these collaborative safety efforts a "cartel" operating under the guise of public protection.
When dominant tech firms lobby for strict compliance structures, they erect high walls around the market. Startups and open-source developers lack the deep pockets and massive legal teams required to clear heavy bureaucratic hurdles. If you make safety evaluations expensive and centralized, you freeze out the competition.
It's a clever trick. Frame your commercial dominance as a moral crusade. Convince regulators that only the incumbents can be trusted to manage safety, and you lock out future disruptors for good.
The Antitrust Nightmare
Coordinating safety rules across rival companies isn't just tricky—it's a legal minefield. U.S. antitrust laws strictly prohibit competitors from colluding on market behavior, pricing, or output restrictions.
For OpenAI and Anthropic to swap notes on model restrictions and deployment timelines, they need Washington's blessing or explicit antitrust waivers. That's why executives have been sprinting to Capitol Hill to back bills like the FRONTIER Act. They want legal immunity to cooperate under the banner of risk mitigation.
Yet, the current political climate complicates things. The Trump administration has historically scoffed at federal interventions, brushing off existential tech risks as overblown. Without official backing, these labs might have to forge ahead via private agreements, opening themselves up to serious legal vulnerabilities.
What Real Oversight Looks Like
If we genuinely want secure artificial intelligence, letting the creators write their own report cards is a bad strategy. True accountability requires independent third-party audits with teeth, completely separated from corporate boardrooms.
Right now, big labs want to control the narrative. They want to decide what constitutes a dangerous model and what counts as an acceptable risk. Don't fall for the PR spin. Keep a close eye on who gets a seat at the table when these standards are drafted, because the rules they write today will dictate who survives in the market tomorrow.
