While AI hyperscalers are committing hundreds of billions of dollar per year on capital expenditures, Anthropic\u2019s spending plans are more cautious by comparison.<\/p>\n
But cofounder and CEO Dario Amodei said the reason for his more measured approach is because even a slight miscalculation could sink the company.<\/p>\n
In an interview with Dwarkesh Patel on Friday, the podcaster asked why Anthropic, the developer of the Claude chatbot, doesn\u2019t spend more aggressively, given Amodei\u2019s earlier prediction that an AI data center could one day be a \u201ccountry of geniuses.\u201d<\/p>\n
Amodei replied that while he is confident the technical milestone is achievable soon, he\u2019s less certain about the timing of the economic returns.<\/p>\n
\u201cI really do believe that we could have models that are a country of geniuses in the data center in one to two years,\u201d he added. \u201cOne question is: How many years after that do the trillions in revenue start rolling in? I don\u2019t think it\u2019s guaranteed that it\u2019s going to be immediate. It think it could be one year. It could be two years. I could even stretch it to five years, although I\u2019m skeptical of that.\u201d<\/p>\n
Because of this uncertainty on how fast revenue will grow, spending massive amounts of money now to quickly build data centers could be \u201cruinous\u201d if estimates are off even slightly, Amodei warned.<\/p>\n
In November, Anthropic said it will spend $50 billion on AI infrastructure in the U.S., starting with data centers in Texas and New York.<\/p>\n
Meanwhile, the top hyperscalers stunned Wall Street in recent weeks with plans to boost capital expenditures by much more than expected.<\/p>\n
For example, Amazon plans to spend $200 billion this year alone, while Alphabet projected up to $185 billion, and Meta sees capex as high as $135 billion.<\/p>\n
To illustrate his point about the timing of returns from AI investments, Amodei highlighted the potential for medical breakthroughs, which would drive enormous economic value.<\/p>\n
There\u2019s the question of how much of the gains pharmaceuticals companies receive versus AI companies. The research, manufacturing and regulatory processes also take time. Amodei noted that after the first COVID-19 vaccines were developed, it took about a year and a half to achieve widespread distribution.<\/p>\n
When it comes to buying data centers, he looks at Anthropic\u2019s 10-fold growth in revenue each year with 2026 tracking around $10 billion. At the same time, building and reserving a data center takes one to two years. By then, revenue could top $1 trillion if it follows its current trajectory, allowing the company in theory to commit a similar amount to data centers.<\/p>\n
\u201cIf my revenue is not $1 trillion, if it\u2019s even $800 billion, there\u2019s no force on Earth, there\u2019s no hedge on Earth that could stop me from going bankrupt if I buy that much compute,\u201d Amodei said. \u201cEven though a part of my brain wonders if it\u2019s going to keep growing 10x, I can\u2019t buy $1 trillion a year of compute in 2027. If I\u2019m just off by a year in that rate of growth, or if the growth rate is 5x a year instead of 10x a year, then you go bankrupt.\u201d<\/p>\n
As a result, he instead accepts the risk that the company may not be able to meet all the demand for AI, acknowledging that Anthropic spends less than some of its competitors.<\/p>\n
But without naming names, Amodei criticized rivals for \u201cYOLOing\u201d on spending, failing to fully comprehend the risks, and \u201cjust doing stuff because it sounds cool.\u201d<\/p>\n
He also pointed out that Anthropic\u2019s AI is geared toward enterprise customers rather than fickle consumers, allowing them to rely more on revenue. Overall, Anthropic\u2019s spending on computing capacity is still substantial.<\/p>\n
\u201cWe\u2019re buying an amount that\u2019s comparable to what the biggest players in the game are buying,\u201d Amodei said. But if you\u2019re asking me, \u2018Why haven\u2019t we signed $10 trillion of compute starting in mid-2027?\u2019 First of all, it can\u2019t be produced. There isn\u2019t that much in the world. But second, what if the country of geniuses comes, but it comes in mid-2028 instead of mid-2027? You go bankrupt.\u201d<\/p>\n
Source: RhinoEasy News<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":" While AI hyperscalers are committing hundreds of billions of dollar per year on capital expenditures, Anthropic\u2019s spending plans are more<\/p>\n","protected":false},"author":1,"featured_media":1630,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"colormag_page_container_layout":"default_layout","colormag_page_sidebar_layout":"default_layout","footnotes":""},"categories":[9],"tags":[],"class_list":["post-1631","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-finance"],"_links":{"self":[{"href":"https:\/\/rhinoeasy.com\/index.php?rest_route=\/wp\/v2\/posts\/1631","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rhinoeasy.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rhinoeasy.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rhinoeasy.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/rhinoeasy.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1631"}],"version-history":[{"count":0,"href":"https:\/\/rhinoeasy.com\/index.php?rest_route=\/wp\/v2\/posts\/1631\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rhinoeasy.com\/index.php?rest_route=\/wp\/v2\/media\/1630"}],"wp:attachment":[{"href":"https:\/\/rhinoeasy.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1631"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rhinoeasy.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1631"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rhinoeasy.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1631"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}