Lisa Su, CEO of AMD, joins “The Claman Countdown” to discuss her vision for the future of AI and why demand for computing power is increasing.
The price of joining the artificial intelligence race is rising rapidly, fueling demand for advanced computing power and the high-end chips needed to support it.
Lisa Su, CEO of Advanced Micro Devices (AMD), said demand for AI computing is accelerating as industries rush to expand their capabilities.
“The demand for AI is just incredible. It’s skyrocketing,” Su said Tuesday on “The Claman Countdown.”
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Lisa Su, president and CEO of Advanced Micro Devices Inc., appears at the CES 2026 event in Las Vegas, Nevada, on January 5. (Bridget Bennett/Bloomberg via Getty Images)
Speaking to FOX Business’ Liz Claman at the Consumer Electronics Show in Las Vegas, Su highlighted how quickly AI adoption is spreading, what she described as “AI everywhere.”
This growth, however, requires massive investments in cutting-edge equipment. Su noted that one of AMD’s best AI chips costs “tens of thousands of dollars.”
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She explained that AMD’s latest AI systems pack dozens of these high-end chips onto a single platform to maximize performance and efficiency.
AMD CEO Lisa Su speaks during testimony before a Senate committee at the U.S. Capitol. (Chip Somodevilla/Getty Images)
“Seventy-two of them are integrated into this huge system that allows you to get the best performance, best efficiency and total cost of ownership that you need to run all this AI,” Su said, showing off one of AMD’s chips.
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Despite the high price, Su said AI companies are actively pushing for more computing power. She highlighted this demand in her CES keynote, suggesting that the world will need “10 yottaflops” of computing power over the next few years to keep pace with the rapid growth of AI.
Lisa Su, president and CEO of Advanced Micro Devices Inc., speaks during an interview with Bloomberg Television in San Francisco, California, October 6, 2025. (David Paul Morris/Bloomberg via Getty Images)
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“A yottaflop is one followed by 24 zeros. So 10 yottaflops is 10,000 times more calculation than we had in 2022,” she said.
Although the costs are high, Su argued that massive investments in computing power are now inevitable for companies hoping to remain competitive in the artificial intelligence market.
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