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Microsoft CEO Satya Nadella, right, greets OpenAI CEO Sam Altman during the OpenAI DevDay event in San Francisco on Nov. 6, 2023.

Justin Sullivan | Getty Images News | Getty Images

Tech giants aren’t doing much acquiring these days, due mostly to an unfavorable regulatory environment. But they’re finding other ways to spend billions of dollars on the next big thing.

Amazon’s $2.75 billion investment in artificial intelligence startup Anthropic, announced this week, was its largest venture deal and the latest example of the AI gold rush that’s prompting the biggest tech companies to fling open their wallets.

Anthropic is the developer behind the AI model Claude, which competes with GPT from Microsoft-backed OpenAI, and Google’s Gemini. Along with Meta and Apple, they’re all racing to integrate generative AI into their vast portfolios of products and features to ensure they don’t fall behind in a market that’s predicted to top $1 billion in revenue within a decade.

In 2023, investors pumped $29.1 billion combined into nearly 700 generative AI deals, an increase of more than 260% in value from the prior year, according to PitchBook.

A significant chunk of that money was strategic, in that it came from tech companies rather than venture capitalists or other institutions. Fred Havemeyer, head of U.S. AI and software research at Macquarie, said a fear of missing out is one factor driving their decisions.

“They definitely don’t want to miss out on being part of the AI ecosystem,” Havemeyer said. “I definitely think that there’s FOMO in this marketplace.”

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The hefty investments are necessary because AI models are notoriously expensive to build and train, requiring thousands of specialized chips that, to date, have largely come from Nvidia. Meta, which is developing its own model called Llama, has said it’s spending billions on Nvidia’s graphics processing units, one of the many companies that’s helped the chipmaker bolster year-over-year revenue by more than 250%.

Whether going the building or investing route, there are a finite number of companies that can afford to play in the market. In addition to developing the chips, Nvidia has emerged as one of Silicon Valley’s top investors, taking stakes in a number of emerging AI companies, partly as a way to make sure its technology gets widely deployed. Similarly, Microsoft, Google and Amazon sometimes offer cloud credits as part of their investments.

In the Amazon-Anthropic deal announced on Wednesday, the two companies said they’ll work closely together in a variety of ways. Anthropic will be using Amazon Web Services for its computing needs as well as Amazon’s chips. Anthropic’s models will be distributed by Amazon to AWS customers.

Earlier this month, Anthropic launched Claude 3, its most powerful model and one that it says lets users upload photos, charts, documents and other types of unstructured data for analysis and answers.

Microsoft got into the business of generative AI investing earlier, putting $1 billion into OpenAI in 2019. The size of its investment has since swelled to about $13 billion. Microsoft heavily uses OpenAI’s model and offers open source models on its Azure cloud.

Alphabet is playing the part of builder and investor. The company has refocused much of its product development on generative AI, and its newly rebranded Gemini model, adding features into search, documents, maps and elsewhere. Last year, Google committed to invest $2 billion in Anthropic, after previously confirming it had taken a 10% stake in the startup alongside a large cloud contract between the two companies.

In this photo illustration, Gemini Ai is seen on a phone on March 18, 2024 in New York City. 

Michael M. Santiago | Getty Images

Havemeyer said tech giants aren’t just throwing money into the “hype cycle,” as these investments in AI startups align with their product road maps.

“I don’t think it’s frivolous,” he said.

Havemeyer said that alliances with big cloud providers not only bring much-needed cash to startups but also help them sign up customers.

The cloud companies are saying, “Come to us, work on our platform, have native access to the latest and greatest AI models, and also use our infrastructure,” Havemeyer said. “It’s also part of a much larger ecosystem play.”

“We’re seeing a lot of alliances appearing among those hyperscalers that have substantial scale, infrastructure and very deep pockets,” he added.

‘Shape the next decade’

In recent earnings calls, tech execs reiterated their focus on generative AI, making it clear to investors that they have to spend money to make money, whether it’s on internal development or through investing in startups.

Microsoft Chief Financial Officer Amy Hood said last year the company was adjusting its “workforce toward the AI-first work we’re doing without adding material number of people to the workforce.” She said Microsoft will continue to prioritize investing in AI as “the thing that’s going to shape the next decade.”

Leaders of Google, Apple and Amazon have also suggested to investors that they’re willing to cut costs broadly across departments in order to redirect more funding toward their AI efforts.

Startups are among the beneficiaries.

Microsoft has taken stakes in Mistral, Figure and Humane, in addition to OpenAI. The company invested in Inflection AI before the startup essentially dissolved and joined Microsoft this month. Mistral is an open source-focused company that uses Azure’s cloud and offers its service to Azure clients.

Startup Figure AI is developing general-purpose humanoid robots.

Figure AI

Figure, a startup seeking to build a robot that walks like a human, has raised money from Microsoft, OpenAI and Nvidia and was valued last month at $2.6 billion.

Amazon’s biggest bet is Anthropic, pouring in a total of $4 billion so far. The company has also invested in open source AI platform developer Hugging Face.

Google’s investments include Essential AI, which is developing consumer AI programs and is backed by AMD and Nvidia. Alphabet and Nvidia are also investors in Runway ML, a generative AI company known for its video-editing and visual effects tools. Others in Nvidia’s portfolio include Mistral, Perplexity and Cohere.

Meanwhile, many of the Big Tech companies continue to spend internally on developing their own models.

Microsoft has invested in many of the techniques underpinning generative AI through its Microsoft Research division. Amazon reportedly has plans to train a bigger, more data-hungry model than even OpenAI’s GPT-4.

Apple researchers recently published details of their work on MM1, a family of small AI models that can take both text and visual input. Apple is in a different position than its peers in that it doesn’t sell a cloud service. Still, the tech giant is reportedly looking for AI partners, including potentially Google in the U.S. and Baidu in China. An Apple representative declined to comment on AI partners.

Creativity in dealmaking

Daniel Newman, CEO of technology analysis firm Futurum Group, said tech companies are having to get clever when it comes to investing in AI.

For example, OpenAI’s investment from Microsoft included profit sharing in a nonprofit wing, as well as credits to use Microsoft’s cloud service. Microsoft’s deal for Inflection AI amounted to an expensive acquihire, with some reports putting the total outlay at $1 billion. As part of the transaction, Microsoft hired Inflection AI founder Mustafa Suleyman to lead Copilot AI initiatives.

“I think we’re starting to see some creativity and dealmaking,” said Newman. With respect to Amazon’s agreement with Anthropic, he said an acquisition would be “a lot harder than investing.”

That’s because regulators across the globe are cracking down on Big Tech, making it more difficult to do sizable acquisitions. Even the investments are attracting scrutiny.

In January, the Federal Trade Commission announced it will conduct an extensive inquiry into the field’s biggest players in AI, including Amazon, Alphabet, Microsoft, Anthropic and OpenAI.

FTC Chair Lina Khan described the probe as a “market inquiry into the investments and partnerships being formed between AI developers and major cloud service providers.” The regulator has the authority to order companies to file specific reports or answer questions in writing about their businesses.

“We know regulators are becoming increasingly focused on the traditional path of closing an acquisition,” Newman said. “Right now, the game is having access to the most fundamental IP.”

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Applied Materials shares sink 10% on light forecast amid macroeconomic uncertainties

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Applied Materials shares sink 10% on light forecast amid macroeconomic uncertainties

The Applied Materials logo on Dec. 17, 2024.

Nurphoto | Nurphoto | Getty Images

Applied Materials shares sank more than 10% in extended trading Thursday as the semiconductor equipment company provided outlook for the current quarter that came in light.

Here’s how Applied Materials did in its third-quarter earnings results versus LSEG consensus estimates:

  • EPS: $2.48, adjusted, versus $2.36 estimated.
  • Revenue: $7.3 billion vs $7.22 billion estimated.

Applied Materials said it expects $2.11 per share in adjusted earnings in the current quarter, lower than LSEG estimates of $2.39 per share. The company said to expect $6.7 billion in revenue, versus $7.34 billion estimated.

CEO Gary Dickerson said that the current macroeconomic and policy environment is “creating increased uncertainty and lower visibility.” He said the company’s China business is particularly effected by the uncertainty.

The Trump administration’s tariffs could double the price of imported chips unless companies buying them commit to building in the U.S. Applied Materials makes tools for chip foundries to physically make chips, much of which currently happens in Asia.

Applied Materials said that it has a large backlog of pending export license applications with the U.S. government, but that it’s assuming none of them will be issued in the next quarter.

“We are expecting a decline in revenue in the fourth quarter driven by both digestion of capacity in China and non-linear demand from leading-edge customers given market concentration and fab timing,” the company’s finance chief said in a statement. He added that it expected lower China business to continue for several more quarters.

Applied Materials reported $1.78 billion in net income, or $2.22 per diluted share in the quarter, versus $1.71 billion or $2.05 in the year-ago period.

The company’s most important division, semiconductor systems, reported $5.43 billion in sales, topping estimates, and representing a 10% rise from last year.

Applied Materials was praised by President Donald Trump earlier this month after it was included in an Apple program to make more chips in the U.S.

Apple said it would partner with the chipmaker to produce more manufacturing equipment in Austin, Texas.

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Intel stock climbs 7% on report Trump administration is considering stake in chipmaker

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Intel stock climbs 7% on report Trump administration is considering stake in chipmaker

Lip-Bu Tan, chief executive officer of Intel Corp., departs following a meeting at the White House in Washington, DC, US, on Monday, Aug. 11, 2025.

Alex Wroblewski | Bloomberg | Getty Images

Intel shares rose 7% on Thursday after Bloomberg reported that the Trump administration is in talks with the chipmaker to have the U.S. government take a stake in the struggling company.

Intel is the only U.S. company with the capability to manufacture the fastest chips on U.S. shores, although rivals including Taiwan Semiconductor Manufacturing Company and Samsung also have U.S. factories. President Donald Trump has called for more chips and high technology to be manufactured in the U.S.

The government’s stake would help fund factories that Intel is currently building in Ohio, according to the report.

Earlier this week, Intel CEO Lip-Bu Tan visited Trump in the White House, a meeting that took place after the president had called for Tan’s resignation based on allegations he has ties to China.

Intel said at the time that Tan is “deeply committed to advancing U.S. national and economic security interests.” An Intel representative declined to comment about reports that the government is considering taking a stake in the company.

“We look forward to continuing our work with the Trump Administration to advance these shared priorities, but we are not going to comment on rumors or speculation,” the spokesperson said.

Tan took over Intel earlier this year after the chipmaker failed to gain significant share in artificial intelligence chips, while it was spending heavily to build its foundry business, which manufactures chips for other companies.

Intel’s foundry business has yet to secure a major customer, which would be a critical step in moving towards expansion and giving other potential customers the confidence to turn to Intel for manufacturing.

In July, Tan said that Intel was canceling plans for manufacturing sites in Germany and Poland and would slow down development in Ohio, adding that spending at the chipmaker would be closely scrutinized.

Under Trump, the U.S. government has increasingly moved to put itself at the center of deals in major industries. Last week, it said it would take 15% of certain Nvidia and Advanced Micro Devices chip sales to China. The Pentagon bought a $400 million equity stake in rare-earth miner MP Materials. It also took a “golden share” in U.S. Steel as part of a deal to allow Nippon Steel to buy the U.S. industrial giant.

Intel shares are now up 19% this year after losing 60% of their value in 2024, the worst year on record for the chipmaker.

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Palantir’s astronomical growth in 3 charts

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Palantir's astronomical growth in 3 charts

Alexander Karp, chief executive officer and co-founder of Palantir Technologies Inc.

Scott Eelis | Bloomberg | Getty Images

Palantir‘s astronomical rise since its public debut on the New York Stock Exchange in a 2020 direct listing has been nothing short of a whirlwind.

Over nearly five years, the Denver-based company, whose cofounders include renowned venture capitalist Peter Thiel and current CEO Alex Karp, has surged more than 1,700%. At the same time, its valuation has broken new highs, dwarfing some of the world’s technology behemoths with far greater revenues.

The artificial intelligence-powered software company continued its ascent last week after posting its first quarter with more than $1 billion in revenue, reaching new highs and soaring past a $430 billion market valuation.

Shares haven’t been below $100 since April 2025. The stock last traded below $10 in May 2023, before beginning a steady climb higher.

Retail investors are a key part of the stock’s strength.

Last month, retail poured $1.2 billion into Palantir stock, according to data from Goldman Sachs.

Here’s a closer look at Palantir’s growth over the last five years and how the company compares to megacap peers.

Government money

Government contracts have been one of Palantir’s biggest growth areas since its inception.

Last quarter, the company’s U.S. government revenue grew 53% to $426 million. Government accounted for 55% of the company’s total revenue but commercial is showing promise. Those revenues in the U.S. grew 93% last quarter, Palantir said.

Still, one of the company’s oldest customers is the U.S. Army.

Earlier this month, the company inked a contract worth up to $10 billion for data and software to streamline efficiencies and meet growing military needs. In May, the Department of Defense boosted its agreement with Palantir for AI-powered battlefield capabilities by $795 million.

“We still believe America is the leader of the free world, that the West is superior,” Karp said on an earnings call earlier this month. “We have to fight for these values; we should give American corporations, and, most importantly, our government, an unfair advantage.”

Beyond the U.S.

The U.S. has been a key driver of Palantir’s growth, especially as the company scoops up more contracts with the U.S. military.

Palantir said the U.S. currently accounts for about three-quarters of total revenues. Commercial international revenues declined 3% last quarter and analysts have raised concerns about that segment’s growth trajectory.

Over the last five years, U.S. revenues have nearly quintupled from $156 million to about $733 million. Revenues outside the U.S. have doubled from about $133 million to $271 million.

Paying a premium

Palantir’s market capitalization has rapidly ascended over the last year as investors bet on its AI tools, while its stock has soared nearly 500%.

The meteoric rise placed Palantir among the top 10 U.S. tech firms and top 20 most valuable U.S. companies. But Palantir makes a fraction of the revenue of the companies in those lists.

Last quarter, Palantir reported more than $1 billion in quarterly revenue for the first time, and its forward price-to-earnings ratio has surged past 280 times.

By comparison, Apple and Microsoft posted revenue of $94 billion and $76 billion during the period, respectively, and carry a PE ratio of nearly 30 times.

Forward PE is a valuation metric that compares a company’s future earnings to its current share price. The higher the PE, the higher the growth expectations or the more overvalued the asset. A lower price-to-earnings ratio suggests slower growth or an undervalued asset.

Most of the Magnificent Seven stocks, except for Nvidia and Tesla, have a forward PE that hovers around the 20s and 30s. Nvidia trades at more than 40 times forward earnings, while Tesla’s sits at about 198 times.

At these levels, investors are paying a jacked-up premium to own shares of one of the hottest AI stocks on Wall Street as its valuation has skyrocketed to astronomical heights.

“This is a once-in-a-generation, truly anomalous quarter, and we’re very proud,” Karp said on an earnings call following Palantir’s second-quarter results. “We’re sorry that our haters are disappointed, but there are many more quarters to be disappointed.”

CNBC’s Gabriel Cortes contributed to this story.

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