Anthropic’s spending goals indicate a long-term AI tailwind. Not only will Anthropic continue to spend money, but other competitors will also increase their spending. Artificial intelligence<\/a> is still in its early innings, and none of the hyperscalers want to be left behind. <\/p>\n The entire data center build-out requires memory chips<\/a>, electricity, physical buildings, specialized cooling systems, and an array of other essentials that don’t receive as much attention. All of those inputs will see rising demand, resulting in greater pricing power for their suppliers. <\/p>\n Research firm TrendForce anticipates high bandwidth memory prices will increase by 121% year over year in 2027. Prices have already soared for these foundational chips as demand far outpaces supply. <\/p>\n It’s not just chips. AI data center provider Nebius (NASDAQ: NBIS) has seen its annual contract value per megawatt more than triple in less than a year for short-term capacity deals. A shortage of compute power combined with insatiable demand is enabling neoclouds to substantially raise prices without meeting meaningful customer resistance. <\/p>\n Consumers and businesses are using these products <\/p>\n Claude and other AI models already have real user case studies. Use of these models is becoming as commonplace as a Google search, and revenue is scaling quickly. Anthropic closed out 2025 with $4.6 billion in revenue; as of July 2026, the business’s annual revenue run rate had topped $65 billion. <\/p>\n This jump shows how quickly AI products and services can scale. It’s this growth rate that makes the $2 trillion market cap it’s hoping to achieve with its initial public offering more feasible, but any slowdown in its growth would cast serious doubt on whether it merits that valuation. <\/p>\n Anthropic is still burning through cash, but the hope is that its revenue growth will remain parabolic and eventually produce a profit. As long as new customers continue to sign up and existing customers stick around, the company can realize that objective. <\/p>\n More importantly, Anthropic is an example of broader AI growth and the commercial value of the technology. If it achieves a profitable return on investment, that gives tech giants, enterprises, and other AI labs a green light to increase spending. <\/p>\n Substantial capital is flowing throughout the artificial intelligence industry, and that trend is set to accelerate. It could make many investors wealthy. <\/p>\n Don’t miss this second chance at a potentially lucrative opportunity <\/p>\n Ever feel like you missed the boat in buying the most successful stocks? Then you’ll want to hear this. <\/p>\n On rare occasions, our expert team of analysts issues a “Double Down” stock<\/a> recommendation for companies that they think are about to pop. If you’re worried you’ve already missed your chance to invest, now is the best time to buy before it’s too late. And the numbers speak for themselves: <\/p>\n Nvidia: if you invested $1,000 when we doubled down in 2009, you’d have $621,091!* <\/p>\n Apple: if you invested $1,000 when we doubled down in 2008, you’d have $63,501!* <\/p>\n Netflix: if you invested $1,000 when we doubled down in 2004, you’d have $364,023!* <\/p>\n Right now, we’re issuing “Double Down” alerts for three incredible companies, available when you join Stock Advisor, and there may not be another chance like this anytime soon. <\/p>\n See the 3 stocks \u00bb<\/a> <\/p>\n *Stock Advisor returns as of October 5, 2026 <\/p>\n Marc Guberti<\/a> has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Alphabet and Amazon. The Motley Fool has a disclosure policy<\/a>. <\/p>\n<\/a> Image source: Getty Images. The prices of AI components will continue to rise <\/p>\n