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A combative interview released Wednesday put Kevin O’Leary and Tucker Carlson at odds over the role of public money in building massive computing facilities and what that means for the U.S. position in the global AI race. The exchange focused on a proposed Utah development that backers say is pivotal to America’s AI capacity and critics say risks straining local resources while enriching major cloud providers.
O’Leary, the investor and television personality behind the proposal, defended the plan as a strategic investment in the country’s AI infrastructure. Carlson pressed him on why state and local governments should offer incentives to what Carlson described as private facilities likely to host some of the world’s wealthiest companies.
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The dispute touches three immediate concerns: who pays for the next wave of AI infrastructure, how that spending affects local communities, and whether federal- and state-level incentives are the right tool to compete with other countries. With AI development accelerating, decisions made today will shape energy demand, regional economies, and geopolitical balance for years.
The Utah proposal
At the center of the debate is the planned Stratos data-center complex: a roughly 40,000-acre site in Utah that county officials unanimously approved. Project backers say it will attract investment and create construction jobs; opponents warn it could place long-term pressure on water supplies and the power grid.
Developers estimate the campus could draw as much as 9 gigawatts of electricity — a figure that officials note would exceed the state’s current overall usage. That scale has sharpened concerns among local residents and environmental groups about resource strain and the quality of long-term employment the project will deliver.
Money, incentives and accountability
Carlson repeatedly questioned why taxpayers should subsidize a private development that may house large cloud providers, suggesting incentives effectively transfer public money to wealthy corporations. O’Leary countered that incentives are routine for major industrial projects and that states that refuse them risk losing out to competitors.
- Taxpayer subsidies: Central to the argument is whether incentives are justified when tenants may be multinational tech firms.
- Public benefit: Supporters point to construction jobs, tax revenue, and longer-term economic activity; critics doubt the number and quality of permanent jobs.
- Local impact: Water and power demand could require new generation and infrastructure upgrades, with costs and trade-offs for residents.
- Market dynamics: States are competing to attract large-scale data centers, raising questions about race-to-the-bottom incentives.
AI and the job question
The pair also sparred over whether AI will ultimately create new industries or mainly replace existing human roles. O’Leary argued history shows new technologies spawn unforeseen sectors and opportunities. Carlson pointed to examples—such as automated medical image processing and digital photo sorting—that suggest machines can displace human workers today.
Neither side offered a definitive answer, but the exchange underscores broader anxieties about workforce transitions and how public policy should manage them.
Geopolitics in the backdrop
Beyond local debates and labor concerns, O’Leary framed the project as part of a strategic competition with China. He argued the United States and its allies must expand data-center and power capacity to avoid ceding technological and military advantages—an argument that has gained traction among policymakers weighing industrial policy for AI.
Carlson remained skeptical that granting incentives to billion-dollar projects is the right way to meet that challenge, saying taxpayers ultimately shoulder the burden while private firms reap gains.
O’Leary dismissed some critics as professional opponents of large projects and defended the deal as consistent with longstanding economic practice. He is a Canadian citizen.












