4 Sources
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Amazon and Nvidia say AI data center demand is not slowing down
OKLAHOMA CITY -- Amazon and Nvidia executives said Thursday that the construction of artificial intelligence data centers is not slowing down, as recession fears have some investors questioning whether tech companies will pull back on some their plans. "There's been really no significant change,"
[2]
Amazon and Nvidia say AI data center demand is not slowing down
OKLAHOMA CITY -- Amazon and Nvidia executives said Thursday that the construction of artificial intelligence data centers is not slowing down, as recession fears have some investors questioning whether tech companies will pull back on some of their plans. "There's been really no significant
[3]
Amazon And Nvidia Dismiss Fears Of AI Data Center 'Pullback': 'We Continue To See Very Strong Demand' - Microsoft (NASDAQ:MSFT), Amazon.com (NASDAQ:AMZN)
Despite recession fears and market speculation, tech giants Amazon AMZN and Nvidia NVDA insist that the demand for artificial intelligence data centers remains robust. What Happened: Executives from Amazon and Nvidia dismissed concerns about a potential slowdown in the construction of AI data
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Tech stocks climb as Nvidia, Amazon reject claims of AI buildout slowdown By Investing.com
Investing.com -- Shares of NVIDIA Corporation (NASDAQ:NVDA) and Amazon.com Inc (NASDAQ:AMZN) rose 3.2% and 3% respectively Thursday after executives from both companies pushed back on reports suggesting a slowdown in artificial intelligence infrastructure spending. Speaking at a conference reported
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Amazon and Nvidia executives dismiss concerns about a potential slowdown in AI data center construction, citing continued strong demand and growing energy needs for AI infrastructure.

Executives from Amazon and Nvidia have strongly refuted claims of a slowdown in artificial intelligence (AI) data center construction, emphasizing continued robust demand despite recession fears and market speculation. The statements were made at a conference organized by the Hamm Institute for American Energy in Oklahoma City, where tech and energy companies gathered to discuss the growing energy needs for AI
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.Kevin Miller, Amazon's vice president of global data centers, stated that there has been "no significant change" in demand for AI infrastructure. He emphasized, "We continue to see very strong demand, and we're looking both in the next couple years as well as long term and seeing the numbers only going up"
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. Miller dismissed recent market speculation about Amazon Web Services pausing some data center leases as "little tea leaf reading and extrapolating to strange results"1
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.Similarly, Josh Parker, Nvidia's senior director of corporate sustainability, confirmed that the chipmaker has not observed any signs of a slowdown. "We haven't seen a pullback," Parker asserted, adding that Nvidia anticipates compute and energy demand to continue rising due to AI
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.The conference highlighted the significant energy requirements for AI infrastructure. Jack Clark, co-founder of Anthropic, projected that 50 gigawatts of new power capacity – equivalent to about 50 new nuclear plants – will be needed by 2027 to support AI growth
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. This underscores the "tremendous growth in the need for new baseload power" driven by AI companies1
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Recent market concerns were sparked by reports of potential slowdowns in data center buildouts. Wells Fargo analysts had suggested that Amazon Web Services was pausing some data center lease commitments, following Microsoft's move to pull back on some early-stage projects
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. However, the statements from Amazon and Nvidia executives aim to allay these fears.The impact of AI on global energy markets is becoming increasingly apparent. AI-driven workloads contributed significantly to global data center electricity consumption, which reached 460 terawatt-hours in 2024, according to the International Energy Agency
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.The conference also addressed potential solutions for meeting the growing energy demands of AI. There is a growing consensus in both the tech and energy industries that natural gas will play a crucial role in meeting these power needs
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. Additionally, companies are investing in localized power solutions such as microgrids and battery storage systems to stabilize supply3
.As AI continues to transform various sectors, the intersection of technology and energy infrastructure remains a critical area of focus for industry leaders and investors alike.
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