Trump Pulls AI Safety Order: Musk, Zuckerberg, and Sacks Sway Late Night Vote

In a dramatic late-night turn of events on May 22, 2026, President Trump reversed his administration’s earlier AI safety executive order after receiving last-minute calls from some of the biggest names in technology: Elon Musk, Mark Zuckerberg, and David Sacks. The sudden reversal, reported by The Decoder, has sent shockwaves through the AI industry, raising urgent questions about the future of artificial intelligence regulation, the balance between innovation and safety, and the immense power of a few tech moguls to shape national policy. This article dives deep into what this means for the future of AI and how it will be used, from corporate boardrooms to your personal life.

To understand why this reversal matters, we have to look at what the safety order originally aimed to do. It required the largest AI developers to report their training data, model capabilities, and safety tests to the government. It was designed to prevent potential disasters—like runaway AI systems or biased models—before they happened. But now, with that order pulled, the door is wide open for a new era of unfettered AI development. Let’s break down the key trends, what the tech titans want, and what this means for businesses and society.

The Unlikely Alliance Behind the Decision

When you think of Elon Musk, Mark Zuckerberg, and David Sacks, you probably don’t picture them agreeing on much. Musk and Zuckerberg have famously clashed over AI safety, with Musk once calling Zuckerberg’s understanding of AI “limited.” So why did they suddenly team up?

The answer lies in a shared concern: over-regulation stifles innovation. All three have major AI initiatives in the works. Musk’s xAI is developing a "truth-seeking" AI named Grok. Zuckerberg’s Meta is pouring billions into open-source models like Llama. And Sacks, a key figure in the tech investing world, sees massive profits in unregulated AI markets. In their last-minute phone calls to President Trump, they reportedly argued that the executive order would slow down American AI development and hand an advantage to international competitors, especially China.

This was not a group of activists calling for caution. This was a powerful coalition of executives telling the president that the order was too burdensome, too soon, and too costly. And it worked. The safety order was pulled, leaving the industry without a federal safety framework for the immediate future.

What This Means for the Future of AI Development

The removal of the AI safety order removes a key layer of government oversight. For the first time in several years, developers of the most advanced AI models face no federal requirement to share their safety testing results or incident reports. This is a major shift in direction.

1. Faster Innovation, But Less Transparency

Without the requirement to document and disclose safety measures, companies can move much faster. They can release new models, update existing ones, and deploy AI features without waiting for government checkpoints. This speed is good for business—it means quicker features, software updates, and potential revenue. But it also means that the public and even other parts of the government may have no idea what these models are truly capable of, including their risks.

2. A Shift from Safety to Capability

The research focus inside major AI labs will almost certainly shift. Instead of spending resources on safety benchmarks, interpretability, and bias mitigation (tasks enforced by the safety order), engineers and investors will pour money into raw capability—making models smarter, faster, and more profitable. For example, we might see more powerful chatbots, better coding assistants, and advanced image generators all coming to market sooner. However, this could come at the expense of making sure those tools are safe, fair, and predictable.

3. The Rise of Private, Unreported AI Systems

One of the biggest impacts will be on smaller, private AI models. The safety order specifically targeted the largest and most powerful systems. With that oversight gone, companies might choose to keep their most advanced development secret. Imagine a financial firm building a trading AI that no one has seen the testing for, or a health company rolling out a diagnostic tool with little public validation. The era of transparency that the safety order tried to create is now over.

Practical Implications for Businesses

For business leaders, this is a moment of both opportunity and risk. The regulatory vacuum creates a fast-moving environment where the rules of the game are being rewritten, but without clear boundaries.

• Opportunity for first movers: Companies that integrate AI deeply and quickly can gain a significant competitive edge. If your competitor is held back by hesitancy and you are not, you can capture market share. This is especially true for industries like customer service, marketing, and logistics where AI automation can cut costs dramatically.
• Increased liability risk: Without a federal standard, lawsuits become the most likely way to enforce safety. If an AI model makes a harmful decision—like denying a loan based on bias or causing a safety accident—courts, not the White House, will decide the consequences. This is a huge risk for any business using AI in sensitive areas like hiring, medical advice, or financial decisions.
• State-level patchwork: While the federal safety order lifted, states like California and New York may push their own AI laws. Companies operating nationwide may soon face a confusing patchwork of different rules. Smart businesses will watch these local regulations closely and may need to build compliance teams for multiple jurisdictions.
• Talent and trust: Attracting top-tier talent often depends on a company’s reputation for acting responsibly. Engineers who care about safety might avoid companies they see as reckless. Businesses that ignore the broader ethical debate may struggle to recruit the best people.

What This Means for Society

The impact on everyday people is arguably the most important part of this story. AI systems are already influencing what news you see, what products you buy, and even who gets hired. The removal of the safety order shifts the balance of power even more toward the corporations building these systems.

1. Less Consumer Protection

When Musk, Zuckerberg, and Sacks convinced the president to pull the order, they effectively argued that the public does not need to know what risks these models pose. For the average person, this means less assurance that the AI tools they interact with are thoroughly tested. A chatbot might give bad medical advice, a recommendation algorithm might amplify dangerous content, and an AI hiring tool might discriminate without any public scrutiny.

2. The Echo Chamber Effect May Deepen

Without safety-focused reporting requirements, companies are less incentivized to fix problems like algorithmic bias or misinformation flow. Social media platforms, news aggregation tools, and content recommendation engines could become more addictive or more polarizing because there is no oversight demanding they report how their models impact society.

3. Risk of an AI Arms Race

Nations that prioritize safety regulation might fall behind economically, while less-regulated countries could race ahead. This creates a global "race to the bottom" where safety is sacrificed for speed. The calls from Musk, Zuckerberg, and Sacks essentially argued for the U.S. to take the lead in that race, prioritizing capability over caution. This could lead to a future where the most powerful AI systems are built by the companies least accountable to the public.

Who Wins and Who Loses?

In the immediate aftermath of the order’s removal, certain parties stand to gain the most.

Winners:

• Big Tech firms: Amazon, Google, Microsoft, Meta, and xAI can now develop their cutting-edge models without disclosing internal data. This reduces costs and removes a threat of regulatory action.
• VC-backed AI startups: Money will flow freely into companies that promise to push the limits. Investors who backed Musk, Zuckerberg, and Sacks’ influence will likely see higher returns.
• AI-powered advertising: Marketers and ad networks can leverage more powerful, less scrutinized AI to target users more aggressively.

Losers:

• Consumer advocates and civil society: Groups that pushed for transparency and accountability have lost a major battle.
• Smaller competitors: Without safety standards, large companies with massive budgets can deploy unproven models faster, crushing smaller rivals who cannot afford the same level of risk or legal protection.
• Workers in high-risk fields: Fast automation of jobs without safety checks could lead to more displacement and fewer protections for workers.

Actionable Insights for Leaders

If you are a business leader, policymaker, or investor, here are a few steps you can take right now:

• Build your own safety framework. Don’t wait for the government to reimpose rules. Develop strong internal testing and reporting standards. This protects you from lawsuits and builds trust with your customers.
• Stay agile and watch state laws. Federal action may be dead, but states will act. Assign someone in your organization to monitor AI-related bills in California, New York, and other key states.
• Think about ethics as a brand differentiator. In a deregulated environment, companies that voluntarily maintain high safety standards can stand out. Consumers may flock to brands they trust to use AI responsibly.
• Plan for worst-case scenarios. Without oversight, the risk of a major AI incident—like a model escaping its guardrails or causing significant harm—increases significantly. Ensure your company has crisis management plans for AI failures.

Conclusion: A Pivotal Moment for AI

The last-minute overturning of the AI safety order, driven by Elon Musk, Mark Zuckerberg, and David Sacks, marks a major turning point. It signals that in the current political climate, the voices of innovation and profit can outweigh those of caution and regulation. The future of AI will be shaped less by government blueprints and more by the ambitions of a handful of very powerful people.

For businesses and society, this creates a high-stakes game. The next few years could be one of the most exciting times in technology history, but also one of the most uncertain. Without a safety net, every AI deployment becomes a potential experiment. The responsibility for making sure those experiments don’t harm the public now falls squarely on the tech industry itself. Will they rise to the challenge, or will the calls for safety go unheeded until it is too late? Only time will tell, but one thing is clear: the game has changed.