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OpenAI CEO calls for AI pacing as Trump insists he’s not downplaying risk

Published September 15, 2026 · Updated September 15, 2026 · By Daniel Miller - tyunews.com

Foto : Daniel Miller - tyunews.com

AI Safety Debate Intensifies as Federal Leaders and Tech Executives Weigh the Pace of Development

Tyunews.com – Questions about how quickly powerful artificial intelligence systems should advance have moved to the center of the national political debate, with OpenAI chief executive Sam Altman saying his company would accept a slower pace if needed to keep safety measures aligned with the technology’s capabilities.

Altman’s comments came as President Donald Trump emphasized what he sees as the competitive stakes of AI development, particularly in relation to China. Speaking to reporters Sunday while returning to Washington from Ireland, Trump said he did not intend to dismiss concerns surrounding AI, but argued that the United States must retain its advantage.

“I've said it from the beginning,” Trump said. “Whoever wins AI -- and we're leading by a lot. Whoever wins AI wins.”

Trump returned to that theme in a social media post Monday, arguing that AI needs a “STRONG AND SMART (High IQ!) PRESIDENT” rather than additional guardrails. He also described opposition to AI and data centers as a harmful campaign that, in his view, would benefit China. Trump said the United States remains ahead of China and other countries in the technology race.

Altman Supports Consistent Federal Standards

Altman said OpenAI would welcome a national framework that creates uniform safety expectations for frontier AI systems. His position reflects growing concern that AI capabilities could develop faster than the tools intended to supervise, evaluate and control them.

“But we do not believe we need to wait for an anti-trust exemption or legislation to begin the work of providing this confidence,” Altman said in a social media statement.

He also supported consistent rules aimed at managing high-end AI risks while allowing the public and businesses to benefit from the technology. Altman pointed to concepts such as independent auditors as promising ways to evaluate advanced systems.

The debate is not simply about whether AI should be regulated. It is also about who writes the rules, how quickly they take effect and whether national standards can avoid a patchwork of different requirements. Supporters of federal action argue that a consistent approach could provide clearer expectations for companies developing powerful models, while critics worry that poorly designed restrictions could hamper innovation or concentrate power in the hands of the largest firms.

Vance Sees Both Risks and Potential Benefits

Vice President JD Vance said Monday that the administration recognizes the risks associated with AI, while stressing that any government response must be carefully designed. He expressed skepticism about technology companies requesting regulation from Washington, describing that dynamic as potentially resembling a “Trojan horse.”

“It's something that we're concerned by, but we want to make sure that we actually regulate smartly, and we're thoughtful about the risk here,” Vance said.

“So, there are obviously risks to AI. There are some benefits to AI. I have to say, just personally, I feel a little bit weird about the fact that you have so many Frontier AI tech companies kind of coming to the government and begging the government to regulate them — it feels a little bit to me like a bit of a Trojan horse,” Vance said.

His remarks highlight a central tension in the policy discussion. AI companies have called for clearer rules around the most capable systems, but policymakers must also decide whether industry-supported rules would genuinely protect the public or create barriers that emerging competitors cannot easily meet.

Former Safety Researcher Warns of Industry Direction

The latest discussion followed a warning from Jacob Coxon, a former safety researcher who worked at both Anthropic and OpenAI. Coxon said last week that he was resigning from Anthropic and criticized the approach taken by leading AI companies.

“Neither Anthropic nor OpenAI is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives,” Coxon wrote in a social media post.

He also described deep concern among people working in the field about the possibility that increasingly capable AI systems could become difficult for humans to control.

“The people building AI earnestly believe that it could kill us all by the end of the decade,” Coxon wrote.

Such warnings represent one side of a wider disagreement within the technology sector. Some researchers and executives believe advanced AI could bring substantial gains in science, productivity and public services if developed responsibly. Others argue that systems approaching or exceeding human-level performance in many tasks may require much stronger testing, oversight and limits before broad deployment.

Congress Faces Renewed Pressure to Act

House Democratic Leader Hakeem Jeffries called Sunday for lawmakers to respond quickly to the challenges created by AI. He said Congress should consider decisive measures that slow the pace of development when necessary to protect Americans and ensure the technology moves forward safely.

“We certainly need to begin to act urgently to address the challenges that exist,” Jeffries said.

“We should take decisive action now so that we can slow down, as the CEOs have recently acknowledged, slow down the pace of development in order to protect the American people and ensure that AI is proceeding safely,” Jeffries added.

Members of both chambers are returning to Washington for their final legislative push before the November midterm elections. AI regulation is expected to receive renewed attention amid security concerns involving advanced systems. Lawmakers from both parties have sought information from OpenAI and initiated investigations related to the technology.

For the public, the policy choices under discussion could shape how quickly new AI tools appear in workplaces, schools, online platforms and government services. The outcome may also determine the level of testing required before highly capable systems are released, the degree of transparency expected from developers and the role independent reviewers could play in assessing safety claims.

The emerging consensus is not that AI presents only danger or only opportunity. Instead, leaders across government and industry are confronting a harder question: whether the United States can remain competitive in a global technology race while establishing safeguards strong enough to address the risks posed by increasingly powerful systems.

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