On Tuesday, President Donald Trump and six of the world’s most powerful tech CEOs met at the White House to sign a voluntary safety agreement covering the development of advanced artificial i
On Tuesday, President Donald Trump and six of the world’s most powerful tech CEOs met at the White House to sign a voluntary safety agreement covering the development of advanced artificial intelligence. The “White House Accord on Super Intelligence” relies entirely on industry self-policing and independent audits funded by the companies themselves. This marks a stark shift away from federal enforcement just as AI models begin gaining autonomous capabilities.
Source: Google
Trump stood alongside leaders from Google, Meta, Anthropic, OpenAI, Nvidia, and xAI to unveil a framework focused on four layers of control for frontier models. Under the accord, the companies committed to internal safety checks, dedicated oversight teams, external audits, and independent board-level scrutiny. The focus is on preventing models from accessing technical systems in unintended ways and mitigating cybersecurity and biosecurity threats.
While the agreement mandates external audits, the companies themselves will choose and pay the evaluators. There are no legal penalties for failure and no requirement to publish the audit results. Trump called the pact “morally binding” and praised the executives for accepting “tremendous self-policing.” Elon Musk similarly told attendees that the companies would simply be “grading each other’s homework.”
This approach has drawn immediate fire from lawmakers who argue that voluntary commitments lack teeth.
Self-regulation?
That’s a recipe for disaster.
— Elizabeth Warren (@SenWarren) September 29, 2026
Beyond the safety pledges, Trump signed an executive order directing federal agencies to replace the term “artificial intelligence” with “super intelligence.” He argued the word “artificial” makes the technology sound fake.
In the tech sector, “superintelligence” explicitly describes a hypothetical future state where machines vastly outperform human cognitive abilities. It does not describe the current crop of large language models. Renaming present-day AI creates semantic friction. It effectively blurs the line between today’s chatbots and tomorrow’s highly capable autonomous agents, reframing the domestic technology race in grandiose terms while bypassing precise regulatory definitions.
The agreement leaves the door open for these commitments to eventually be codified into law. For now, the US is cementing a completely hands-off approach. David Sacks, an investor and Trump adviser, praised the move on X, stating it was
“far better than waiting years for some international agreement that would probably never happen.”
Only President Trump could convene all the leaders of the top companies developing chips, data centers and frontier models for Super Intelligence. This new Industrial Revolution has already created a million new jobs and is spurring a bigger infrastructure build-out than the railroads, canals and grid combined. I was honored to witness history as the leaders of the frontier lab companies signed the White House Accord on Super Intelligence, accepting responsibility for the safe development of their products and imposing new internal controls and external audits. This is far better than waiting years for some international agreement that would probably never happen. President Trump continues to ensure that U.S. remains the technology leader while putting Americans first.
— David Sacks (@DavidSacks) September 29, 2026
Critics argue that letting companies define their own safety thresholds without government enforcement gives tech leaders freedom to push models into production before they are safe.
Trump on big tech: “They don’t want anything to go wrong. Their companies are at stake. They’re not gonna let that happen. They’re really gonna be policing each other.” https://t.co/wP6vfPcavz
— Aaron Rupar (@atrupar) September 29, 2026
If centralized AI developers are closing ranks to self-regulate, the need for verifiable trustless infrastructure will grow. Recent research from BlackRock points out that as AI agents begin executing economic tasks, they will require programmable payment rails like stablecoins.
However, users are unlikely to trust self-policed models with their capital. A September Visa survey found that only 23% of US consumers trusted generative AI to handle payments. Web3 developers argue that true accountability will not come from closed-door boardroom committees. Instead, decentralized infrastructure allows agents to establish track records on-chain. An agent only gains dynamic capital permissions and economic authority if it can mathematically prove its past performance.
ALSO READ:NVIDIA launches AI agent safety platform with 100+ industry partners
The immediate fallout centers on whether these companies actually enforce their own rules when a flagship model fails an internal check. The race to deployment often overrules safety concerns. With models moving rapidly from text generation to acting as autonomous agents capable of spending capital, the stakes for getting internal controls right are unusually high. The biggest risk is not that superintelligence arrives tomorrow. The risk is that today’s agentic systems are integrated into the real economy with nothing more than a gentleman’s agreement holding them in check.
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The post AI Giants Just Agreed to Police Themselves, What Happens When They Start Building Superintelligence? appeared first on DeFi Planet.
