Dell Technologies CEO Michael Dell said AI models need safeguards and controls, with government having a role to play. His comments come as industry leaders like Dario Amodei and Sam Altman back stricter AI regulation, while opposition to AI data centers emerges as a key issue ahead of the 2026 midterm election.

Dell Technologies CEO Advocates for AI Safeguards and Government Oversight

Michael Dell said AI models need safeguards and controls, arguing that government has a role to play in managing the risks associated with rapidly evolving artificial intelligence technology. Speaking with CNBC's David Faber on Tuesday, the Dell Technologies CEO used a fire analogy to illustrate his position: "Fire can heat your home. It can also burn down your whole village. So that's not good. So we have to have safeguards and controls," he stated.

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Dell emphasized that companies building AI tools need to set "bounded permissions" around their systems, defining what they are permitted to do and implementing monitoring and human oversight when harmful outcomes are possible.

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While acknowledging there's a role for government to play, Dell declined to provide specifics about what that government role should look like, stating he's "not a policymaker."

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Industry Leaders Push for AI Regulation Amid Safety Concerns

Dell's comments arrive as the debate over AI regulation and frontier AI development has intensified in recent weeks. The discussion was sparked by former Anthropic researcher Jacob Coxon, who resigned and published a September 8 post warning that frontier labs were "gambling with our lives" in the race toward superintelligence.

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Since then, tech CEOs including Anthropic's Dario Amodei and OpenAI's Sam Altman have endorsed calls for stricter regulation and an industry-wide slowdown in frontier model development.

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President Donald Trump hosted a lunch on September 29 with AI leaders that concluded with executives signing a "morally binding" document committing to industry self-regulation of their products' safety with help from outside evaluators.

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However, the Trump administration has remained staunchly against a coordinated slowdown or other regulations, making further federal-level regulation unlikely ahead of November's midterm election.

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Dell Opposes AI Development Slowdown Despite Safety Debate

While calling for AI safeguards, Michael Dell argued that halting AI development or data center construction would damage the U.S. economy and benefit competing countries. "I think it's very important that we stay ahead," he said, according to Tradingview. "I think we can find a path here where we have safe systems that are also incredibly powerful."

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Dell pushed back on concerns about an AI bubble, pointing to rising rental prices for Nvidia H100 chips as evidence of sustained demand. He noted those prices reached a one-year high about a week ago.

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Dell also said the gap between AI supply and demand could widen in 2027, with new semiconductor fabrication capacity not expected to come online until 2029 or 2030.

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AI Data Centers Become Midterm Election Issue

Opposition to AI data centers has emerged as a key issue in the run-up to the 2026 midterm election, with backlash against AI and data center build-out reaching a fever pitch.

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The issue could help decide which party controls Congress in the final two years of Trump's term. Dell addressed the rise in opposition to data centers, saying the more active discussion about them was "a good thing."

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He noted that Dell Technologies talks to customers about data center energy consumption and hears what they're doing to address it. "Certainly there are things we can do to make the systems more efficient, to reduce the energy consumption," Dell said. "So we're all working together to address this. I don't see it as a big impediment to 2027."

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Dell Technologies Reports Record AI Server Revenue

Dell Technologies posted record revenue of $47 billion in its fiscal second quarter, which closed July 31, including $16.40 billion from AI-optimized servers alone -- double the figure from a year earlier.

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The company raised its full-year revenue outlook to approximately $192 billion at that time, demonstrating strong market demand for AI infrastructure despite ongoing debates about AI models and their potential risks.

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