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Kevin O'Leary Sounds the Alarm: America's Power Grid Can't Keep Up With AI Ambitions

MarketDash Editorial Team
3 hours ago
Shark Tank's Kevin O'Leary warns that the U.S. energy infrastructure is woefully unprepared for AI's power demands, while China has built 500 gigawatts in two years. His blunt assessment: we're running out of electricity to fuel the AI revolution.

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Here's an inconvenient truth about the AI boom: you can't run cutting-edge algorithms without electricity. And according to Kevin O'Leary, the United States is about to learn that lesson the hard way.

The 500 Gigawatt Reality Check

The O'Leary Ventures chairman isn't sugarcoating things. While AI productivity has been the engine driving S&P 500 (SPY) gains across all eleven sectors for the past two years, O'Leary sees a massive infrastructure problem that nobody wants to talk about. The American energy grid simply isn't growing fast enough to support our AI ambitions.

"Here's our problem... We have no power," O'Leary said in his characteristically blunt style. The numbers he cites are jarring: China has added 500 gigawatts of power capacity in the last 24 months. The United States? Zero, according to his assessment.

Think about what that means. Every data center that trains AI models, every server farm processing ChatGPT queries, every GPU cluster crunching neural networks—they all need massive amounts of electricity. And right now, we're essentially trying to fuel a Formula 1 race with a gas station that hasn't expanded since 2022.

"We have no power on the grid. This is a big problem," O'Leary emphasized. Without serious infrastructure investment, the U.S. can't build the energy-hungry data centers required for the next wave of artificial intelligence development. You can have the best AI engineers in the world, but if you can't keep the lights on, China wins by default.

Tariffs and Rate Cuts: Don't Hold Your Breath

O'Leary's warnings don't stop at power grids. "Mr. Wonderful" also delivered a dose of economic realism on two fronts investors have been watching closely.

First, forget about Federal Reserve rate cuts anytime soon. Despite political pressure—what O'Leary calls "jawboning"—directed at the Fed, he says investors shouldn't expect Jerome Powell to pivot while he's still Chair.

Second, O'Leary took direct aim at current tariff policies, calling them a primary driver of the affordability crisis Americans are experiencing. "Tariffs themselves on commodities or goods that you don't create yourself is inflationary. There's no way around it," he explained. His prescription is simple: remove these tariffs to give consumers some relief.

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Productivity Without Power Is Just a Promise

O'Leary's overall message cuts through the AI hype with uncomfortable clarity. Yes, the SPDR S&P 500 ETF Trust (SPY) has hit record highs. Yes, AI tools have created genuine productivity gains. But productivity software means nothing without the hardware and electricity to run it.

On Tuesday, both the SPY and Invesco QQQ Trust ETF (QQQ)—which track the S&P 500 and Nasdaq 100 respectively—closed lower. The SPY fell 0.20% to $693.77, while the QQQ declined 0.15% to $626.24.

The Energy Infrastructure Play

For investors taking O'Leary's warning seriously, energy infrastructure suddenly looks more strategic than speculative. Here's how various energy-focused ETFs have performed recently:

Energy Sector ETFs6-Month PerformanceYTD PerformanceOne Year Performance
Energy Select Sector SPDR Fund (XLE)6.62%5.15%3.05%
Vanguard Energy Index Fund ETF (VDE)6.96%5.18%2.52%
Fidelity MSCI Energy Index ETF (FENY)6.98%5.13%2.44%
iShares Global Clean Energy ETF (ICLN)31.07%5.09%56.14%
Alerian MLP ETF (AMLP)0.08%4.21%-2.89%
First Trust Natural Gas ETF (FCG)-0.80%1.15%-11.19%
VanEck Oil Services ETF (OIH)31.04%12.09%11.59%

The bottom line? O'Leary is arguing that the AI revolution has an infrastructure problem that Wall Street is conveniently ignoring. You can't power the future on yesterday's electrical grid, and pretending otherwise won't change the physics of computing.

Kevin O'Leary Sounds the Alarm: America's Power Grid Can't Keep Up With AI Ambitions

MarketDash Editorial Team
3 hours ago
Shark Tank's Kevin O'Leary warns that the U.S. energy infrastructure is woefully unprepared for AI's power demands, while China has built 500 gigawatts in two years. His blunt assessment: we're running out of electricity to fuel the AI revolution.

Get Market Alerts

Weekly insights + SMS alerts

Here's an inconvenient truth about the AI boom: you can't run cutting-edge algorithms without electricity. And according to Kevin O'Leary, the United States is about to learn that lesson the hard way.

The 500 Gigawatt Reality Check

The O'Leary Ventures chairman isn't sugarcoating things. While AI productivity has been the engine driving S&P 500 (SPY) gains across all eleven sectors for the past two years, O'Leary sees a massive infrastructure problem that nobody wants to talk about. The American energy grid simply isn't growing fast enough to support our AI ambitions.

"Here's our problem... We have no power," O'Leary said in his characteristically blunt style. The numbers he cites are jarring: China has added 500 gigawatts of power capacity in the last 24 months. The United States? Zero, according to his assessment.

Think about what that means. Every data center that trains AI models, every server farm processing ChatGPT queries, every GPU cluster crunching neural networks—they all need massive amounts of electricity. And right now, we're essentially trying to fuel a Formula 1 race with a gas station that hasn't expanded since 2022.

"We have no power on the grid. This is a big problem," O'Leary emphasized. Without serious infrastructure investment, the U.S. can't build the energy-hungry data centers required for the next wave of artificial intelligence development. You can have the best AI engineers in the world, but if you can't keep the lights on, China wins by default.

Tariffs and Rate Cuts: Don't Hold Your Breath

O'Leary's warnings don't stop at power grids. "Mr. Wonderful" also delivered a dose of economic realism on two fronts investors have been watching closely.

First, forget about Federal Reserve rate cuts anytime soon. Despite political pressure—what O'Leary calls "jawboning"—directed at the Fed, he says investors shouldn't expect Jerome Powell to pivot while he's still Chair.

Second, O'Leary took direct aim at current tariff policies, calling them a primary driver of the affordability crisis Americans are experiencing. "Tariffs themselves on commodities or goods that you don't create yourself is inflationary. There's no way around it," he explained. His prescription is simple: remove these tariffs to give consumers some relief.

Get Market Alerts

Weekly insights + SMS (optional)

Productivity Without Power Is Just a Promise

O'Leary's overall message cuts through the AI hype with uncomfortable clarity. Yes, the SPDR S&P 500 ETF Trust (SPY) has hit record highs. Yes, AI tools have created genuine productivity gains. But productivity software means nothing without the hardware and electricity to run it.

On Tuesday, both the SPY and Invesco QQQ Trust ETF (QQQ)—which track the S&P 500 and Nasdaq 100 respectively—closed lower. The SPY fell 0.20% to $693.77, while the QQQ declined 0.15% to $626.24.

The Energy Infrastructure Play

For investors taking O'Leary's warning seriously, energy infrastructure suddenly looks more strategic than speculative. Here's how various energy-focused ETFs have performed recently:

Energy Sector ETFs6-Month PerformanceYTD PerformanceOne Year Performance
Energy Select Sector SPDR Fund (XLE)6.62%5.15%3.05%
Vanguard Energy Index Fund ETF (VDE)6.96%5.18%2.52%
Fidelity MSCI Energy Index ETF (FENY)6.98%5.13%2.44%
iShares Global Clean Energy ETF (ICLN)31.07%5.09%56.14%
Alerian MLP ETF (AMLP)0.08%4.21%-2.89%
First Trust Natural Gas ETF (FCG)-0.80%1.15%-11.19%
VanEck Oil Services ETF (OIH)31.04%12.09%11.59%

The bottom line? O'Leary is arguing that the AI revolution has an infrastructure problem that Wall Street is conveniently ignoring. You can't power the future on yesterday's electrical grid, and pretending otherwise won't change the physics of computing.