{"id":30914,"date":"2026-07-29T18:16:03","date_gmt":"2026-07-29T09:16:03","guid":{"rendered":"https:\/\/aireviewirush.com\/?p=30914"},"modified":"2026-07-29T18:16:04","modified_gmt":"2026-07-29T09:16:04","slug":"a-deluge-of-a-i-computing-energy-is-about-to-come-on-line-fueling-main-leaps","status":"publish","type":"post","link":"https:\/\/aireviewirush.com\/?p=30914","title":{"rendered":"A Deluge of A.I. Computing Energy Is About to Come On-line, Fueling Main Leaps"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<div id=\"29biz-ai-boom\"><!--[--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->The milestones for artificial intelligence keep getting grander.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->In 2023, an A.I. system passed the bar exam. In 2025, the technology helped scientists identify a suspected cause of Alzheimer\u2019s disease. In May, A.I. had advanced so far that it solved a complex math problem that had stumped experts for 80 years. Last week, two A.I. systems under testing <a href=\"https:\/\/www.nytimes.com\/2026\/07\/21\/technology\/openai-attack-hugging-face.html\" target=\"_blank\" rel=\"noopener\">went rogue<\/a> and hacked into a company\u2019s database.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->And this is still just the beginning.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->From the American Midwest to the Persian Gulf, hundreds of <a href=\"https:\/\/www.nytimes.com\/interactive\/2025\/03\/16\/technology\/ai-data-centers.html\" target=\"_blank\" rel=\"noopener\">major data centers<\/a> now under construction will be turned on in the coming  years. They are set to deliver an avalanche of computing power to develop and run A.I. that has no equal in the history of the technology industry, with breakthroughs that once felt revolutionary likely to become increasingly routine.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->Behind each leap in A.I. are corresponding jumps in computing power. Today, there are about 20 million A.I. chips crammed into the data centers that underpin the technology\u2019s growing abilities and usage worldwide, according to the research firm Epoch AI. That figure is expected to double roughly every nine months, putting the world on pace to have about 200 million of the chips by the end of 2028 \u2014 10 times current levels.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!----><\/p>\n<figure class=\"g-wrapper compute svelte-nnmo52 g-needs-margin-block\" style=\"--g-wrapper_hed-text-wrap:balance\" aria-label=\"graphic\"><!--[0--><\/p>\n<div class=\"g-block g-block-margin svelte-ki8lyz g-margin-inline\">\n<div class=\"g-block-width g-max-width-body svelte-ki8lyz\"><!--[--><!--[--><!--]--> <!--[--><!--[0--><\/p>\n<div class=\"g-wrapper_hed g-text-align-center svelte-ork8ht\" style=\"--g-text-wrap:balance;\"><!--[0--><\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_53 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title \" >Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\" role=\"button\"><label for=\"item-6a6b4a95183b0\" ><span class=\"\"><span style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input aria-label=\"Toggle\" aria-label=\"item-6a6b4a95183b0\"  type=\"checkbox\" id=\"item-6a6b4a95183b0\"><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><ul class='ez-toc-list-level-3'><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/aireviewirush.com\/?p=30914\/#Doubling_every_nine_months\" title=\"Doubling every nine months\">Doubling every nine months<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/aireviewirush.com\/?p=30914\/#The_number_of_data_centers_in_the_United_States_is_poised_to_explode\" title=\"The number of data centers in the United States is poised to explode\">The number of data centers in the United States is poised to explode<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/aireviewirush.com\/?p=30914\/#%E2%80%98An_AI_arms_race%E2%80%99\" title=\"\u2018An A.I. arms race\u2019\">\u2018An A.I. arms race\u2019<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/aireviewirush.com\/?p=30914\/#The_US_advantage\" title=\"The U.S. advantage\">The U.S. advantage<\/a><ul class='ez-toc-list-level-3'><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/aireviewirush.com\/?p=30914\/#How_the_computing_power_of_US_and_Chinese_data_centers_compares\" title=\"How the computing power of U.S. and Chinese data centers compares\">How the computing power of U.S. and Chinese data centers compares<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/aireviewirush.com\/?p=30914\/#The_accelerating_AI_loop\" title=\"The accelerating A.I. loop\">The accelerating A.I. loop<\/a><\/li><\/ul><\/nav><\/div>\n<h3 class=\"g-heading svelte-ork8ht g-has-leadin\"><span class=\"ez-toc-section\" id=\"Doubling_every_nine_months\"><\/span><!---->Doubling every nine months<!----><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><!--]--> <!--[0--><\/p>\n<p class=\"g-leadin svelte-ork8ht\"><!---->The number of A.I. chips, equivalent to H100 semiconductors made by Nvidia, currently in use by quarter, including near-term projections<!----><\/p>\n<p><!--]--><\/div>\n<p><!--]--><!--]--> <!--[--><!--]--><!--]--><\/div>\n<\/div>\n<p><!--]--> <!--[-1--><!--]--> <!----> <!--[0--><\/p>\n<div class=\"g-block g-block-margin svelte-ki8lyz g-margin-inline\">\n<div class=\"g-block-width g-max-width-945 svelte-ki8lyz\" style=\"max-width: 945px;\"><!--[--><!--[--><!--]--> <!--[--><!--[0--><\/p>\n<p class=\"g-wrapper_meta g-text-align-left svelte-fkyd84\" style=\"--g-caption-display:inline;--g-caption-margin-bottom:0;\"><!--[-1--><!--]--> <!--[0--><span class=\"g-note svelte-fkyd84\"><!---->Note: The data here represents H100 equivalents as measured by chips in use.<!----><\/span><!--]--> <!--[0--><span class=\"g-source svelte-fkyd84\"><!---->Source: Epoch AI.<!----><\/span><!--]--> <!--[-1--><!--]--><\/p>\n<p><!--]--><!--]--> <!--[--><!--]--><!--]--><\/div>\n<\/div>\n<p><!--]--><!----><\/figure>\n<p><!----><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->In size and ambition, this moment compares to the building of the railroads in the 1800s, President Franklin D. Roosevelt\u2019s New Deal in the 1930s, and the Manhattan Project to create an atomic weapon in the 1940s, technologists said.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->\u201cThis is the largest scale infrastructure build-out in the history of humanity,\u201d said Rob Wachen, a co-founder of the microchip firm Etched, which has raised more than $1 billion to meet the growing demand for A.I. components.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->Peter DeSantis, who leads foundational A.I. models at Amazon \u2014 which provides computing power to the A.I. firms Anthropic, OpenAI and others \u2014 said the Seattle company has doubled its computing capacity since 2022 and would double it again by next year. \u201cIt\u2019s hard to get your mind around the scale,\u201d he said.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->Fueling the surge is the belief that A.I. can take on more human responsibilities and solve increasingly complicated tasks with the more data and computing power you feed it. This tenet, sometimes called \u201c<a href=\"https:\/\/www.nytimes.com\/2024\/04\/06\/technology\/tech-giants-harvest-data-artificial-intelligence.html\" target=\"_blank\" rel=\"noopener\">the Scaling Laws<\/a>,\u201d has become the driving force behind this technological era. Those with the most computing power will create the most advanced A.I. systems, capturing the biggest share of profit and value, tech leaders argue. The biggest engine, they say, will win the race.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->Confidence in the Scaling Laws has led A.I. leaders to make ever bolder predictions. Dario Amodei, the chief executive of Anthropic, has said that if these laws hold for another year or two, A.I. will be able to perform huge amounts of white-collar work.  Demis Hassabis, the head of Google\u2019s A.I. lab DeepMind, wrote recently that A.I. could usher in \u201c10x of the Industrial Revolution at 10x the speed.\u201d<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->Scientists and technologists see the coming deluge of computing power leading to drug discoveries and robotics advances, and industry analysts said it would drive more everyday use of A.I. in people\u2019s personal and professional lives.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->But the build-out has also stoked a backlash, spurring protests in many communities over how data centers could harm the environment, raise electricity prices and drain water. In the United States, data centers are shaping up as a major issue for November\u2019s midterm elections, with a <a href=\"https:\/\/www.nytimes.com\/2026\/04\/27\/technology\/ai-artificial-intelligence-backlash.html\" target=\"_blank\" rel=\"noopener\">growing national movement<\/a> pushing back against the tech industry and its billionaires.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[1--><!----><\/p>\n<figure class=\"g-wrapper mapLoop svelte-nnmo52 g-needs-margin-block\" style=\"--g-wrapper_hed-text-wrap:balance\"><!--[0--><\/p>\n<div class=\"g-block g-block-margin svelte-ki8lyz g-margin-inline\">\n<div class=\"g-block-width g-max-width-body svelte-ki8lyz\"><!--[--><!--[--><!--]--> <!--[--><!--[0--><\/p>\n<div class=\"g-wrapper_hed g-text-align-center svelte-ork8ht\" style=\"--g-text-wrap:balance;\"><!--[0--><\/p>\n<h3 class=\"g-heading svelte-ork8ht g-has-leadin\"><span class=\"ez-toc-section\" id=\"The_number_of_data_centers_in_the_United_States_is_poised_to_explode\"><\/span><!---->The number of data centers in the United States is poised to explode<!----><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><!--]--> <!--[0--><\/p>\n<p class=\"g-leadin svelte-ork8ht\"><!---->As more \u2014 and bigger \u2014 facilities become operational, they require much more energy.<!----><\/p>\n<p><!--]--><\/div>\n<p><!--]--><!--]--> <!--[--><!--]--><!--]--><\/div>\n<\/div>\n<p><!--]--> <!--[-1--><!--]--> <!----> <!--[0--><!--]--><!----><\/figure>\n<p><!----><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->Economists and <a href=\"https:\/\/www.man.com\/insights\/the-ai-bubble\" target=\"_blank\" rel=\"noopener\">investors<\/a> have raised concerns that tech firms are spending faster than they can profit from A.I. Past infrastructure booms have been <a href=\"https:\/\/www.bis.org\/publ\/work1367.pdf\" target=\"_blank\" rel=\"noopener\">followed by downturns<\/a> before the benefits of the technology were realized. The railroad boom in the 1800s, electrification in the 1920s and the dot-com bubble in the late 1990s were punctuated by economic recessions and a stock market crash as companies that overspent went out of business.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->\u201cEach time you\u2019ve had a technological revolution, this kind of bubble bursting happened,\u201d said Philippe Aghion, who won the Nobel in economic science in 2025 for research on innovation-driven economic growth. \u201cA.I. is like the fourth industrial revolution and it has this aspect to it that generates a bubble.\u201d<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->With more computing power coming online, geopolitical divisions are only set to widen.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->The United States, home to about 5,500 data centers, about 10 times the next closest country, is far ahead of the rest of the world, including China. U.S. companies like Amazon, Google, Microsoft and Meta control about 80 percent of global computing power that drives A.I., according to Epoch AI. Google alone is believed to have four times as many A.I. chips as all of China\u2019s companies, which are racing to catch up by developing new semiconductors and A.I. infrastructure of their own.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!----><\/p>\n<figure class=\"g-wrapper  svelte-nnmo52 g-needs-margin-block\" style=\"--g-wrapper_hed-text-wrap:balance\" aria-label=\"image\"><!--[-1--><!--]--> <!--[-1--><!--]--> <!----> <!--[0--><\/p>\n<div class=\"g-block g-block-margin svelte-ki8lyz g-margin-inline\">\n<div class=\"g-block-width g-max-width-wide svelte-ki8lyz\"><!--[--><!--[--><!--]--> <!--[--><!--[0--><\/p>\n<p class=\"g-wrapper_meta g-text-align-left svelte-fkyd84\" style=\"--g-caption-display:inline;--g-caption-margin-bottom:0;\"><!--[0--><span class=\"g-caption svelte-fkyd84\"><!--[-1--><!--]--><!--[0--><!---->Amazon\u2019s sprawling complex in New Carlisle, Ind., which is spread across an area that was once cornfields.<!----><!--]--><\/span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> <!--[0--><span class=\"g-credit svelte-fkyd84\"><!---->AJ Mast for The New York Times<!----><\/span><!--]--><\/p>\n<p><!--]--><!--]--> <!--[--><!--]--><!--]--><\/div>\n<\/div>\n<p><!--]--><!----><\/figure>\n<p><!----><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->Lack of transparency in the A.I. industry makes measuring global computing capacity difficult, including the volume of chip supplies, total number of data centers and overall electricity consumption. The New York Times relied on  estimates from groups including Epoch AI, Cleanview and SemiAnalysis that study the industry and publish widely cited forecasts.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->For now, there are no signs that the spending on A.I. will slow. By 2029, A.I. infrastructure investment is forecast to top $1 trillion globally, up from $318 billion last year, according to <a href=\"https:\/\/www.idc.com\/resource-center\/blog\/ai-infrastructure-spending-caps-historic-year-at-90-billion-in-q4-2025-2029-spending-to-eclipse-1-trillion\/\" target=\"_blank\" rel=\"noopener\">IDC<\/a>, the market research firm. That would be on par with the economic output of Switzerland, the world\u2019s 20th-biggest economy.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->The investment is worth it, said Jeff Dean, Google\u2019s chief scientist, because it will power A.I. innovations and spread the technology\u2019s use.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->\u201cYou see capabilities emerge at larger scale that didn\u2019t occur at smaller scale,\u201d he said. \u201cYou\u2019re also now trying to bring these capabilities to not just a few million users for a more niche product, but really to bring the capabilities to hundreds of millions or billions of users.\u201d<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><\/p>\n<p><h2 class=\"g-subhed g-heading2block svelte-17u6t01\"><span class=\"ez-toc-section\" id=\"%E2%80%98An_AI_arms_race%E2%80%99\"><\/span><!---->\u2018An A.I. arms race\u2019<!----><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<\/p>\n<p><!--]--><!--]--><!--[0--><!--[--><!--[1--><!----><\/p>\n<figure class=\"g-wrapper  svelte-nnmo52 g-needs-margin-block\" style=\"--g-wrapper_hed-text-wrap:balance\"><!--[-1--><!--]--> <!--[-1--><!--]--> <\/p>\n<div class=\"g-block g-block-margin svelte-ki8lyz g-margin-inline\">\n<div class=\"g-block-width g-max-width-wide svelte-ki8lyz\"><!--[--><!--[-1--><!--]--> <\/p>\n<div class=\"g-wrapper_main-content svelte-nnmo52 g-overflow-visible\"><!--[-1--><!--]--> <\/p>\n<div class=\"g-wrapper_main_content_slot svelte-nnmo52\"><!--[--><!--[--><!--[-1--><!--[--><\/p>\n<div class=\"g-sat2 svelte-chbj1p\">\n<div class=\"g-sat2__wrapper svelte-chbj1p\">\n<div class=\"g-sat2__bg svelte-chbj1p\">\n<div class=\"g-sat2__topper svelte-chbj1p\"><!--[--><\/p>\n<p><span class=\"g-sat2__topper-year svelte-chbj1p\">2022<\/span> <span class=\"g-sat2__topper-name svelte-chbj1p\">GPT-4 Cluster<\/span> <span class=\"g-sat2__topper-location svelte-chbj1p\">Des Moines, Iowa<\/span><\/p>\n<p><span class=\"g-sat2__topper-year svelte-chbj1p\">2024<\/span> <span class=\"g-sat2__topper-name svelte-chbj1p\">Colossus<\/span> <span class=\"g-sat2__topper-location svelte-chbj1p\">Memphis, Tennessee<\/span><\/p>\n<p><span class=\"g-sat2__topper-year svelte-chbj1p\">2026<\/span> <span class=\"g-sat2__topper-name svelte-chbj1p\">Rainier<\/span> <span class=\"g-sat2__topper-location svelte-chbj1p\">New Carlisle, Indiana<\/span><\/p>\n<p><span class=\"g-sat2__topper-year svelte-chbj1p\">2028<\/span> <span class=\"g-sat2__topper-name svelte-chbj1p\">Fairwater<\/span> <span class=\"g-sat2__topper-location svelte-chbj1p\">Mount Pleasant, Wisconsin<\/span><\/p>\n<p><!--]-->  <!--[-1--><!--]--><\/div>\n<\/p><\/div>\n<div class=\"g-sat2__steps svelte-chbj1p\"><!--[--><\/p>\n<div class=\"g-sat2__step svelte-chbj1p\"><!--[0--><\/p>\n<div class=\"g-sat2__card svelte-chbj1p\">\n<p class=\"svelte-chbj1p\">In 2022, OpenAI used a data center tucked along Interstate 35 near Des Moines to build what would become ChatGPT.<\/p>\n<\/div>\n<p><!--]--><\/div>\n<div class=\"g-sat2__step svelte-chbj1p\"><!--[0--><\/p>\n<div class=\"g-sat2__card svelte-chbj1p\">\n<p class=\"svelte-chbj1p\">Those origins now look modest. In 2024, Elon Musk\u2019s xAI opened a far larger multibillion-dollar data center in a former appliance factory in Memphis, loading it with more than 100,000 A.I. chips and its own natural gas turbines.<\/p>\n<\/div>\n<p><!--]--><\/div>\n<div class=\"g-sat2__step svelte-chbj1p\"><!--[0--><\/p>\n<div class=\"g-sat2__card svelte-chbj1p\">\n<p class=\"svelte-chbj1p\">Anthropic, whose recent model Mythos caused alarm among intelligence agencies for its uncanny ability to identify cybersecurity vulnerabilities, now uses seven interconnected data centers owned by Amazon that are fanned out across an Indiana cornfield.<\/p>\n<\/div>\n<p><!--]--><\/div>\n<div class=\"g-sat2__step svelte-chbj1p\"><!--[0--><\/p>\n<div class=\"g-sat2__card svelte-chbj1p g-sat2__card--ch4\">\n<p class=\"svelte-chbj1p\">Even larger data centers are taking shape. In Wisconsin, Microsoft is expanding what it said could become the world&#8217;s most powerful data center. Once it is completed by 2028, it will be more than 100 times as powerful as the machines that trained that early version of ChatGPT.<\/p>\n<\/div>\n<p><!--]--><\/div>\n<p><!--]--><\/div>\n<\/div>\n<p>  <!--[0--><\/p>\n<div class=\"g-sat2__ch4-card svelte-chbj1p\">\n<p class=\"svelte-chbj1p\">Even larger data centers are taking shape. In Wisconsin, Microsoft is expanding what it said could become the world&#8217;s most powerful data center. Once it is completed by 2028, it will be more than 100 times as powerful as the machines that trained that early version of ChatGPT.<\/p>\n<\/div>\n<p><!--]--><\/div>\n<p><!--]--><!--]--><!--]--><!--]--><\/div>\n<\/div>\n<p> <!--[-1--><!--]--><!--]--><\/div>\n<\/div>\n<p><!----> <!--[-1--><!--]--><!----><\/figure>\n<p><!----><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->A.I.\u2019s growing abilities are linked to increases in the size of data centers. To create a cutting-edge model, huge amounts of computing power are needed to analyze and find patterns in data. That process, known as a \u201ctraining run,\u201d can cost hundreds of millions of dollars as tens of thousands of specialized chips churn through the data. Training works best when chips trade data over lightning-fast connections, and it can falter when hardware breaks down.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->Once an A.I. model is finished, a wider network of data centers takes on a different role by providing the computing power for the system to field queries in real time. This work, known as \u201cinference,\u201d is increasingly driving the need for more data centers. As with a mail distribution hub, putting computing power closer to users enables A.I. models to think longer, respond more quickly and complete more complex tasks.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->To meet that demand, production of semiconductors is also skyrocketing. In March 2024, the world had about 2.4 million of \u201cH100 equivalent\u201d A.I. chips, a unit of measurement that refers to the semiconductor that the chipmaker Nvidia released in 2022. Now as millions of more advanced chips are being brought online every month, the world is set to have about 200 million H100 equivalents by the end of 2028, according to Epoch AI.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!----><\/p>\n<figure class=\"g-wrapper  svelte-nnmo52 g-needs-margin-block\" style=\"--g-wrapper_hed-text-wrap:balance\" aria-label=\"image\"><!--[-1--><!--]--> <!--[-1--><!--]--> <!----> <!--[0--><\/p>\n<div class=\"g-block g-block-margin svelte-ki8lyz g-margin-inline\">\n<div class=\"g-block-width g-max-width-body svelte-ki8lyz\"><!--[--><!--[--><!--]--> <!--[--><!--[0--><\/p>\n<p class=\"g-wrapper_meta g-text-align-left svelte-fkyd84\" style=\"--g-caption-display:inline;--g-caption-margin-bottom:0;\"><!--[0--><span class=\"g-caption svelte-fkyd84\"><!--[-1--><!--]--><!--[0--><!---->H100, Nvidia\u2019s GPU optimized to handle large artificial intelligence models used to create text, computer code, images, video or audio.<!----><!--]--><\/span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> <!--[0--><span class=\"g-credit svelte-fkyd84\"><!---->Nvidia, via Reuters<!----><\/span><!--]--><\/p>\n<p><!--]--><!--]--> <!--[--><!--]--><!--]--><\/div>\n<\/div>\n<p><!--]--><!----><\/figure>\n<p><!----><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->The build-out could be slowed by troubles with chip and component manufacturing, financing and public opposition. Massive amounts of electricity will also be needed to support new data centers. Last year, the facilities consumed 64 gigawatts of electricity globally, roughly as much electricity as Germany consumes, according to SemiAnalysis, a market research firm. By the end of 2030, that is expected to quadruple, eclipsing the power used by all countries in South America and Africa combined.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->At the most advanced A.I. data centers, every gigawatt of power equates to roughly $40 billion to $60 billion in costs, including servers, land, connectivity and utility hookups, according to industry estimates.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->\u201cThese companies are essentially in an A.I. arms race,\u201d said Carl Benedikt Frey, an economist at Oxford University. \u201cIf they don\u2019t invest, they are acknowledging defeat.\u201d<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->(The Times has <a href=\"https:\/\/www.nytimes.com\/2023\/12\/27\/business\/media\/new-york-times-open-ai-microsoft-lawsuit.html\" target=\"_blank\" rel=\"noopener\">sued<\/a> OpenAI and Microsoft, claiming copyright infringement of news content related to A.I. systems. The two companies have denied those claims.)<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><\/p>\n<p><h2 class=\"g-subhed g-heading2block svelte-17u6t01\"><span class=\"ez-toc-section\" id=\"The_US_advantage\"><\/span><!---->The U.S. advantage<!----><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<\/p>\n<p><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->As more computing power arrives, American companies are expected to extend their A.I. lead. Amazon, Google, Microsoft, Meta and Oracle are projected to spend about $750 billion this year on data centers, chips and other A.I. infrastructure, up from roughly $400 billion last year, according to Goldman Sachs.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->China, the next closest rival in A.I., is working to close the gap. Chinese companies had roughly 1.16 million H100-equivalent chips at the end of 2025, up from roughly 244,000 at the beginning of 2024, though those figures exclude smuggled chips and other offshore computing resources used by Chinese firms, <a href=\"https:\/\/epoch.ai\/data\/ai-chip-owners?view=graph&amp;tab=h100_equivalents\" target=\"_blank\" rel=\"noopener\">Epoch AI estimated<\/a>.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!----><\/p>\n<figure class=\"g-wrapper  svelte-nnmo52 g-needs-margin-block\" style=\"--g-wrapper_hed-text-wrap:balance\" aria-label=\"graphic\"><!--[0--><\/p>\n<div class=\"g-block g-block-margin svelte-ki8lyz g-margin-inline\">\n<div class=\"g-block-width g-max-width-body svelte-ki8lyz\"><!--[--><!--[--><!--]--> <!--[--><!--[0--><\/p>\n<div class=\"g-wrapper_hed g-text-align-center svelte-ork8ht\" style=\"--g-text-wrap:balance;\"><!--[0--><\/p>\n<h3 class=\"g-heading svelte-ork8ht g-has-leadin\"><span class=\"ez-toc-section\" id=\"How_the_computing_power_of_US_and_Chinese_data_centers_compares\"><\/span><!---->How the computing power of U.S. and Chinese data centers compares<!----><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><!--]--> <!--[0--><\/p>\n<p class=\"g-leadin svelte-ork8ht\"><!---->The number of H100 chip equivalents for the largest American data center in operation now versus the largest one in China.<!----><\/p>\n<p><!--]--><\/div>\n<p><!--]--><!--]--> <!--[--><!--]--><!--]--><\/div>\n<\/div>\n<p><!--]--> <!--[-1--><!--]--> <!----> <!--[0--><\/p>\n<div class=\"g-block g-block-margin svelte-ki8lyz g-margin-inline\">\n<div class=\"g-block-width g-max-width-600 svelte-ki8lyz\" style=\"max-width: 600px;\"><!--[--><!--[--><!--]--> <!--[--><!--[0--><\/p>\n<p class=\"g-wrapper_meta g-text-align-left svelte-fkyd84\" style=\"--g-caption-display:inline;--g-caption-margin-bottom:0;\"><!--[-1--><!--]--> <!--[0--><span class=\"g-note svelte-fkyd84\"><!---->Note: Each block represents 10,000 H100 chip equivalents.<!----><\/span><!--]--> <!--[0--><span class=\"g-source svelte-fkyd84\"><!---->Source: Epoch AI.<!----><\/span><!--]--> <!--[-1--><!--]--><\/p>\n<p><!--]--><!--]--> <!--[--><!--]--><!--]--><\/div>\n<\/div>\n<p><!--]--><!----><\/figure>\n<p><!----><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->China\u2019s National Energy Administration has estimated the country\u2019s electricity use for data centers will reach the equivalent of around 91 gigawatts by 2030, or about 6 percent of total use, up from 19 gigawatts last year.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->China has been hamstrung by export controls and other limits initiated by the United States on A.I. chips and other key technology. To address those hurdles, Beijing has made A.I. infrastructure a national priority. In March, the Chinese Communist Party released a five-year economic strategy that mentioned A.I. more than 50 times and called for building an interconnected network of data centers to create \u201cnext generation supercomputing.\u201d<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->Xi Jinping, China\u2019s president, has positioned China as a counterweight to American tech dominance. \u201cA.I. development should not be a solo performance by a single country, but a symphony of international cooperation,\u201d he said in a <a href=\"https:\/\/www.nytimes.com\/2026\/07\/17\/business\/xi-jinping-china-ai.html\" target=\"_blank\" rel=\"noopener\">recent speech<\/a> in Shanghai.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->China\u2019s top tech companies are building new A.I. chips and data centers. This year, Huawei, ByteDance and Alibaba are expected to spend $111 billion on data centers and other A.I. investments, according to Bernstein Research.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->Even with these challenges, Chinese start-ups like Moonshot AI and DeepSeek have built powerful A.I. models. Often given away as \u201copen source\u201d software, which others can freely use and modify, they are growing more popular. Many users regard the Chinese models as good enough, more efficient and cheaper than leading U.S. models.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->Still, everyday use of A.I. is limited across China right now because of lack of computing infrastructure, said Jordan Nanos, an analyst at SemiAnalysis.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->Mr. Nanos said the U.S. data center lead over China would likely grow over the next four to five years, before China\u2019s domestic chips are produced at scale. After that, China should begin closing the gap.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->\u201cThe advantage will run out,\u201d he said.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->The U.S.-China race threatens to leave the rest of the world behind. France, Germany and other nations are trying to encourage data center construction across the European Union, which has 5 percent of global A.I. computing power, according to a <a href=\"https:\/\/europe2031.ai\/compute-forecast\/\" target=\"_blank\" rel=\"noopener\">report<\/a> by A.I. developers and policy experts in the region. Europe has been hampered by electricity and land access, permitting and financing.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->In the Persian Gulf, where Saudi Arabia and the United Arab Emirates have pledged billions to build data centers, the war in Iran has <a href=\"https:\/\/www.nytimes.com\/2026\/03\/13\/technology\/amazon-google-persian-gulf-war.html\" target=\"_blank\" rel=\"noopener\">affected plans<\/a>.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!----><\/p>\n<figure class=\"g-wrapper  svelte-nnmo52 g-needs-margin-block\" style=\"--g-wrapper_hed-text-wrap:balance\" aria-label=\"image\"><!--[-1--><!--]--> <!--[-1--><!--]--> <!----> <!--[0--><\/p>\n<div class=\"g-block g-block-margin svelte-ki8lyz g-margin-inline\">\n<div class=\"g-block-width g-max-width-wide svelte-ki8lyz\"><!--[--><!--[--><!--]--> <!--[--><!--[0--><\/p>\n<p class=\"g-wrapper_meta g-text-align-left svelte-fkyd84\" style=\"--g-caption-display:inline;--g-caption-margin-bottom:0;\"><!--[0--><span class=\"g-caption svelte-fkyd84\"><!--[-1--><!--]--><!--[0--><!---->A model of a data center complex under construction in the United Arab Emirates, which stems from a joint venture between G42, Microsoft and OpenAI.<!----><!--]--><\/span><!--]--> <!--[-1--><!--]--> <!--[-1--><!--]--> <!--[0--><span class=\"g-credit svelte-fkyd84\"><!---->Giuseppe Cacace\/Agence France-Presse \u2014 Getty Images<!----><\/span><!--]--><\/p>\n<p><!--]--><!--]--> <!--[--><!--]--><!--]--><\/div>\n<\/div>\n<p><!--]--><!----><\/figure>\n<p><!----><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->Fears that A.I.\u2019s economic gains are unequally spread are growing, with the world potentially splitting between those with the infrastructure to utilize the technology and those without.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->\u201cIf 75 percent of the compute today is in a few postal codes in the U.S., 12 to 15 percent in China, and 5 percent in the E.U., where does it leave the rest of the world?\u201d said Amandeep Gill, under secretary general at the United Nations who is the special envoy on tech issues. <!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><\/p>\n<p><h2 class=\"g-subhed g-heading2block svelte-17u6t01\"><span class=\"ez-toc-section\" id=\"The_accelerating_AI_loop\"><\/span><!---->The accelerating A.I. loop<!----><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<\/p>\n<p><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->To those in the A.I. industry, adding huge data centers is akin to outfitting a car with a jet engine. <!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->Signs of that acceleration are already here. Uber, PepsiCo and Walmart are increasingly turning work over to A.I. \u201c<a href=\"https:\/\/www.nytimes.com\/2026\/03\/19\/technology\/ai-agents-uses.html\" target=\"_blank\" rel=\"noopener\">agents<\/a>,\u201d the bots that can perform a growing list of multistep tasks like coding, compiling research reports, handling customer support and reading and responding to emails.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->With more computing power, agents can take on more responsibilities, said Google\u2019s Dr. Dean, who has worked in A.I. research for more than 30 years. He envisioned a scientist asking hundreds of A.I. agents to autonomously devise and test various hypotheses in biological research and then taking the best leads to build off.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->Under at least one new assessment, the Remote Labor Index, A.I. models have become increasingly capable. The test examines their ability to do common freelance tasks, like building a mobile video game. In October, leading models completed 2.5 percent of tasks. By July, Anthropic\u2019s Fable A.I. model <a href=\"https:\/\/safe.ai\/blog\/significant-increase-in-digital-labor-automation\" target=\"_blank\" rel=\"noopener\">completed 16 percent<\/a>.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->These jumps in abilities have economists warning about major changes to the labor market.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->\u201cThere\u2019s going to be millions of jobs destroyed, millions of jobs created,\u201d said Erik Brynjolfsson, an economist who is the director of Stanford University\u2019s Digital Economy Lab. \u201cThat\u2019s going to be very difficult. Even if new jobs are created, they\u2019re not the same jobs.\u201d<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->Leading A.I. labs are continuing to race ahead. One long-sought breakthrough, called recursive self improvement, would allow A.I. to speed its own progress with little or no help from human developers. An A.I. model would essentially help build the next version of itself.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->Google is already exploring various kinds of self-improvement tools. A process that once involved dozens of A.I. researchers testing hundreds of ideas could eventually be turned over to thousands of \u201cvery tiny models,\u201d which come up with ideas on their own, Dr. Dean said.<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--[0--><!--[--><!--[--><!--[-1--><!----><\/p>\n<p class=\"g-text g-body-text svelte-kxgec5 g-text_last\"><!--[0--><!---->With more computing power coming, \u201cyou can fully automate the loop,\u201d he said. \u201cWe are at the beginning stages.\u201d<!----><!--]--><!----><\/p>\n<p><!----><!--]--><!--]--><!--]--><!--]--><!--]--><!----><\/div>\n\n","protected":false},"excerpt":{"rendered":"<p>The milestones for artificial intelligence keep getting grander. In 2023, an A.I. system passed the bar exam. In 2025, the technology helped scientists identify a suspected cause of Alzheimer\u2019s disease. In May, A.I. had advanced so far that it solved a complex math problem that had stumped experts for 80 years. Last week, two A.I. [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":30916,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[25],"tags":[],"class_list":["post-30914","post","type-post","status-publish","format-standard","has-post-thumbnail","category-tech-news"],"_links":{"self":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts\/30914","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=30914"}],"version-history":[{"count":1,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts\/30914\/revisions"}],"predecessor-version":[{"id":30915,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts\/30914\/revisions\/30915"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/media\/30916"}],"wp:attachment":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=30914"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=30914"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=30914"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}