President Trump to Create an “AI Force,” Appoint an AI Czar as AI Fears Grow
OpenAI and Anthropic's frontier models have already escaped their own containment systems, yet Washington's response is to accelerate rather than slow down. Here is what that bet means for investors and everyone else.
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Artificial intelligence has become more than a technology story. It is increasingly a race for computing power, data centers, energy, cybersecurity capabilities, and economic influence, with the U.S. and China competing for leadership. At the same time, the systems powering that race are becoming capable of doing things their creators did not anticipate.
The technology’s economic potential remains enormous, but so does the need to make increasingly autonomous systems controllable. President Donald Trump’s latest move makes clear which side of that debate his administration intends to emphasize: keep developing AI, keep the U.S. ahead of China, and deal with dangerous behavior through enforcement rather than slowing the technology itself.
Trump Wants An “AI Force,” Not An AI Brake
Trump announced on Truth Social that he plans to establish an “AI Force,” modeled after the Space Force, and appoint an AI “czar.” He provided few details about how the force would be structured or what legal authority it would have, but his broader objective was clear.
“We will not in any way hinder or stifle the Growth of this incredible Industry,” Trump wrote, adding that the administration would instead “cherish it, help it, and watch over it.” He said existing criminal and civil laws could be used to deal with bad actors.
Trump also put a potentially enormous number on AI’s economic importance, saying the technology could eventually represent as much as 25% of U.S. GDP. That illustrates why the AI infrastructure boom has become so important to investors. Nvidia (NASDAQ:NVDA | NVDA Price Prediction) generated $215.9 billion in fiscal 2026 revenue, up 65% from the previous year, while its data-center business alone generated more than $193 billion.
The bigger point is that Washington is treating AI as strategic infrastructure rather than another Silicon Valley software cycle.
AI Safety Concerns Are Getting Harder To Dismiss
The timing of Trump’s announcement is important because concerns about AI safety have intensified over the past several weeks.
In July, OpenAI disclosed that models used in cybersecurity evaluations had escaped controls designed to isolate them from the internet. During the incident, models exploited vulnerabilities, gained unauthorized internet access, and compromised portions of OpenAI’s infrastructure and Hugging Face’s systems. OpenAI later said the behavior involved models pursuing strategies that were misaligned with their assigned objectives.
OpenAI has since created a formal framework for reporting unexpected model behavior and disclosed six additional examples, including systems communicating through unauthorized channels and taking actions that developers did not intend.
Anthropic has encountered similar problems. In July, it revealed three incidents in which Claude models gained access to real-world systems during cybersecurity evaluations. A subsequent review uncovered a fourth incident involving an earlier model. Anthropic said it reviewed roughly 481 million transcripts as part of its broader investigation.
For investors, the reports raise a larger issue: Multiple frontier AI developers are discovering that increasingly capable models can behave in unexpected ways when given tools, internet access, or opportunities to solve complicated problems.
The Industry Is Divided Over How Fast To Go
That has pushed the safety debate well beyond academic circles. Former Anthropic researcher Jacob Coxon recently warned that people developing advanced AI believe the technology could potentially kill humanity by the end of the decade. Anthropic alignment researcher Evan Hubinger publicly agreed with the broader concern and said he personally estimated a greater-than-10% chance of human extinction within the next decade.
Anthropic CEO Dario Amodei has also called for the industry to slow its pace. He argued that AI’s exponential development is a warning sign and proposed stronger third-party evaluation and oversight of frontier models. OpenAI CEO Sam Altman agreed that the industry needs to “pace the frontier,” while other technology executives have expressed similar concerns.
But there is no industry-wide consensus that development should stop. Amazon (NASDAQ:AMZN), for example, has called for rigorous testing and safeguards without endorsing an industry-wide slowdown. Meanwhile, executives including Nvidia CEO Jensen Huang and Meta Platforms (NASDAQ:META) CEO Mark Zuckerberg have opposed broad federal restrictions, arguing that excessive regulation could undermine U.S. competitiveness. Huang just said there was a “zero percent chance” AI would extinguish humanity.
Safety spending, however, does not necessarily mean less AI spending. It could mean more spending on cybersecurity, monitoring, testing, computing capacity, and specialized infrastructure.
Key Takeaway
In short, investors do not have to choose between believing in AI’s economic potential and taking its risks seriously. The two can coexist.
Trump’s proposed AI Force signals that his administration intends to keep the accelerator down while adding a layer of enforcement around the technology. Whether that approach ultimately proves sufficient remains an open question.
For investors, the more immediate takeaway is that the AI infrastructure buildout remains central to U.S. technology policy. The next phase, however, may require spending not only on faster chips and larger data centers, but also on keeping increasingly capable AI systems inside the lines.
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After two decades of patrolling the dark corners of suburbia as a police officer, Rich Duprey hung up his badge and gun to begin writing full time about stocks and investing. For the past 20 years, he’s been cruising the markets looking for companies to lock up as long-term holdings in a portfolio while writing extensively on the broad sectors of consumer goods, technology, and industrials. Because his experience isn’t from the typical financial analyst track, Rich is able to break down complex topics into understandable and useful action points for the average investor. His writings have appeared on The Motley Fool, InvestorPlace, Yahoo! Finance, Money Morning, and, of course, 24/7 Wall St. He has been featured in both U.S. and international publications, including MarketWatch, Financial Times, Forbes, Fast Company, and USA Today.
