Big Tech is eating as much data as it can to win in AI — but it’s not ‘winner takes all,’ CEO says
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Big technology companies are consuming as much data as possible to become winners in artificial intelligence — but that’s not necessarily what will define winners, according to the boss of software giant Appian.
Matt Calkins, CEO and co-founder of Appian, said that though internet giants like Microsoft, Amazon, and Google are spending billions on the tech, ensuring success in AI is “not just about money.”
“AI is not a place where money makes more money,” Calkins told CNBC in an interview at its London bureau on Tuesday.
Calkins was referring to the high-profile deals companies like Microsoft and Amazon are agreeing with ambitious and fast-growing foundational AI model makers, like OpenAI and Anthropic.
Microsoft has invested a total of $13 billion in OpenAI, a deal that entails Microsoft getting a stake in OpenAI and the latter adding its GPT language models to the Redmond, Washington-based technology giant’s Azure cloud computing platform.
Microsoft has struck a similar deal with Mistral, taking a 15 million euro ($16 million) stake in the French AI firm.
In OpenAI’s case, Microsoft has a non-voting observer sitting on the firm’s board.
That happened after a shocking series of events last year that saw the CEO of OpenAI, Sam Altman, temporarily ousted, before later returning after hundreds of OpenAI employees threatened a coup to join Altman at Microsoft.
Separately, Amazon has invested a whopping $4 billion into U.S. AI firm Anthropic, which is behind the Claude AI system. Amazon holds a minority stake in Anthropic but no board seat.
Google, too, has committed billions of funding to Anthropic, agreeing last year to invest up to $2 billion.
Scrutiny from UK regulators
British regulators are assessing whether deals agreed by Microsoft and Amazon with foundation AI model startups may constitute effective mergers that could lead to a substantial reduction of competition.
Microsoft denies its deal with OpenAI and Mistral and hiring from Inflection constituted mergers. Amazon says its partnership with Anthropic constitutes a limited corporate investment, not a merger.
This is a market for the clever. The fact that you’ve got enough money to buy, or buy a piece of, Anthropic or Mistral or any of that, that’s impressive. But AI may not be a ‘winner take all’ market.
Matt Calkins
CEO, Appian
For Calkins, whether or not those deals qualify as mergers that threaten competition in AI, there will be room for innovators to thrive.
“If coalitions won the AI race, Google would have won by now,” he said, calling out the U.S. tech giant’s $500 million takeover of British AI lab DeepMind.
Far from it, Calkins argues — instead, he thinks Google lost out to Microsoft early on when it comes to generative AI, which threatens to upend the fabric of Google’s search business.
It follows a blunder that saw Google’s Gemini text-to-image generator produce inaccuracies in historical pictures that went viral online. Google paused image generation of people to refine the tool. CEO Sundar Pichai called the debacle “unacceptable,” according to an internal memo obtained by CNBC in February.
Google was not immediately available for comment and contacted by CNBC.
“This is a market for the clever,” Calkins said. “The fact that you’ve got enough money to buy, or buy a piece of, Anthropic or Mistral or any of that, that’s impressive. But AI may not be a ‘winner take all’ market.”
“There’s going to be different AI algorithms for different purposes, and they are going to be much more or less valuable, depending on whether and how you’ve loaded your own data into it,” he added.
Calkins said that the only way for AI systems to become truly clever and useful is by being capable of understanding what we want from them for use in our everyday lives.
“The best AI will be the AI you put your data into, not whoever bought the biggest stack,” he said.
Europe has ‘head start’ with regulation
Calkins said the AI race today has become more about “how much data can you eat” than how smart the AI actually is.
Big Tech companies have been “doing anything they can in order to get the most data,” Calkins said. “But that game was almost up,” he added.
That’s because, absent any concrete laws to prevent Big Tech’s guzzling up of data to prevent privacy infringements, those companies were allowed to obtain the data they needed to train their models.
Calkins said he’s disappointed with a lack of progress on regulation of AI in the U.S. at a federal level.
Europe has a “head start” on AI in a way “because there’s emerging clarity on regulation,” he told CNBC’s “Squawk Box Europe” Tuesday.
“In the United States, it’s not clear, partly because the government has been a little bit too friendly to Big Tech,” he said.
The European Union officially approved its AI Act, the first comprehensive law governing artificial intelligence, in March.
Calkins said businesses need clarity on how they can use AI safely and guarantee things like protection of intellectual property and users’ personal privacy
“In Europe there’s a natural skepticism … over here, we have regulations that push back against American Big Tech firms,” Calkins said.
“I would suggest it’s time for that again, with fair use of copyrighted information. We need a clear playing field, we need to understand what data we’re allowed to use.”
Mike Intrator, co-founder and CEO of CoreWeave, speaks at the Nasdaq headquarters in New York on March 28, 2025.
Michael M. Santiago | Getty Images News | Getty Images
CoreWeave shares fell about 6% in extended trading on Tuesday even as the provider of artificial intelligence infrastructure beat estimates for second-quarter revenue
Here’s how the company did in comparison with LSEG consensus:
- Earnings per share: Loss of 21 cents
- Revenue: $1.21 billion vs. $1.08 billion expected
Revenue more than tripled from $395.4 million a year earlier, CoreWeave said in a statement. The company registered a $290.5 million net loss, compared with a $323 million loss in second quarter of 2024. CoreWeave’s earnings per share figure wasn’t immediately comparable with estimates from LSEG.
CoreWeave’s operating margin shrank to 2% from 20% a year ago due primarily to $145 million in stock-based compensation costs. This is CoreWeave’s second quarter of full financial results as a public company following its IPO in March.
CoreWeave pointed to an expansion in business with OpenAI, a major client and investor. Also during the quarter, CoreWeave acquired Weights and Biases, a startup with software for monitoring AI models, for $1.4 billion.
In May, management touted 420% revenue growth, alongside widening losses and nearly $9 billion in debt. The stock still doubled anyway over the course of the next month.
CoreWeave shares became available on Nasdaq at the end of the first quarter, after the company sold 37.5 shares at $40 each, yielding $1.5 billion in proceeds. As of Tuesday’s close, the stock was trading at $148.75 for a market cap of over $72 billion.
A CoreWeave data center project with up to 250 megawatts of capacity is set to be delivered in 2026, the company said in the statement.
Executives will discuss the results and issue guidance on a conference call starting at 5 p.m. ET.
This is breaking news. Please check back for updates.
WATCH: Citi’s Tyler Radke’s bullish call on CoreWeave, upgraded to buy
U.S. President Donald Trump (L) invites Nvidia CEO Jensen Huang to speak in the Cross Hall of the White House during an event on “Investing in America” on April 30, 2025 in Washington, DC.
Andrew Harnik | Getty Images
The Trump administration is still working out the details of its 15% export tax on Nvidia and AMD and could bring deals of this kind to more companies, the White House’s Karoline Leavitt said Tuesday.
“Right now it stands with these two companies. Perhaps it could expand in the future to other companies,” said Leavitt, the White House’s spokesperson.
“The legality of it, the mechanics of it, is still being ironed out by the Department of Commerce, and I would defer you to them for any further details on how it will actually be implemented,” she continued.
President Donald Trump confirmed on Monday that he had negotiated a deal with Nvidia in which the U.S. government approves export licenses for the China-specific H20 AI chip in exchange for a 15% cut of revenue. Advanced Micro Devices also got licenses approved in exchange for a proportion of its China sales, the White House confirmed.
“I said, ‘If I’m going to do that, I want you to pay us as a country something, because I’m giving you a release,'” Trump said Monday.
“We follow rules the U.S. government sets for our participation in worldwide markets,” Nvidia said in a statement this week.
Trump said the export licenses for AMD and Nvidia were a done deal. But lawyers and experts who follow trade have warned that Trump’s deal may be complicated because of existing laws that regulate how the government can charge fees for export licenses.
The Commerce Department didn’t immediately return a request for comment.
The H20 is Nvidia’s Chinese-specific chip that is slowed down on purpose to comply with U.S. export relations. It’s related to the H100 and H200 chips that are used in the U.S., and was introduced after the Biden administration implemented export controls on artificial intelligence chips in 2023.
Earlier this year, Nvidia said that it was on track to sell more than $8 billion worth of H20 chips in a single quarter before the Trump administration in April said that it would require a license to export the chip.
Trump signaled in July that he was likely to approve export licenses for the chip after Nvidia CEO Jensen Huang visited the White House.
The U.S. regulates AI chips like those made by Nvidia for national security reasons, saying that they could be used by the Chinese government to leapfrog U.S. capabilities in AI, or they could be used by the Chinese military or linked groups.
The Chinese government has been encouraging local companies in recent weeks to avoid using Nvidia’s H20 chips for any government or national security-related work, Bloomberg reported on Tuesday.
WATCH: Access to Nvidia’s H20 won’t hand China an AI advantage: Analyst
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