Staff Reports
President Donald Trump quietly pulled the plug on a planned White House signing of an AI executive order after last‑minute calls from tech CEOs. He said he “didn’t like certain aspects” and didn’t want anything that would slow U.S. competitiveness with China. The move exposed a simple truth: the future of artificial intelligence is not inevitable — it is a political choice, and powerful industry players just showed how much sway they still have.
What the president did and who intervened
The postponed executive order would have created a voluntary federal pre‑release review for so‑called “frontier” AI models. That meant developers might give the government a window to test new models for dangerous capabilities and cybersecurity flaws. The signing was stopped after intense calls and lobbying from xAI CEO Elon Musk, Meta CEO Mark Zuckerberg, and prominent adviser David Sacks, who warned the plan could become a backdoor for long‑term regulation. In plain terms: a draft meant to spot threats before they hit the public was shelved when billionaires worried it might slow product launches.
Why this mattered — the Mythos security problem
Models finding real‑world vulnerabilities
This was not abstract worrywarting. New “Mythos”-class systems and projects like Project Glasswing demonstrated that advanced AI can autonomously find and chain software weaknesses. Security teams found thousands of vulnerabilities faster than engineers could patch them. That’s the exact scenario pre‑release review aimed to address: a short, focused check to prevent new models from being an instant tool for hackers or foreign rivals. Putting that pause off the table is a risky choice, not a neutral one.
Policy choices — voluntary review, Congress, and the states
With the executive order postponed, the policy fight moves louder to Congress, the states, and industry voluntary programs. Lawmakers are already wrestling with the “Great American AI Act” drafts that try to set rules for high‑risk models, while some governors push worker protections and state rules. The tradeoffs are clear: strict regulation can slow innovation but leave us safer; hands‑off policy can speed product rollout but invite security gaps and industry capture. Conservatives should ask: who benefits when the people who build the machines get to write the rules?
Conclusion — choose a future, don’t let one be sold to you
This episode proves the future of AI is a choice. It can be shaped to protect national security, privacy, and liberty — or it can be ceded to a handful of Silicon Valley executives who prefer speed and market control. If we want safe competition with China and accountable tech at home, Congress and voters must demand clear, limited pre‑release checks and real transparency — not voluntary theater or century‑long licenses written by the very firms that profit from secrecy. The alternative is to watch the future be quietly signed away on a conference call.
