OpenAI in Talks for Huge Investment Round Valuing It Up to $300 Billion
SoftBank would lead $40 billion round for ChatGPT maker, some of which would go to Stargate AI infrastructure venture
SoftBank would lead $40 billion round for ChatGPT maker, some of which would go to Stargate AI infrastructure venture
OpenAI is in early talks to raise up to $40 billion in a funding round that would value the ChatGPT maker as high as $300 billion, according to people familiar with the matter.
SoftBank would lead the round and is in discussions to invest between $15 billion and $25 billion. The remaining amount would come from other investors.
The two companies were recently in talks to value OpenAI as high as $340 billion, one of the people familiar with the matter said. After The Wall Street Journal published that figure in an earlier version of this story, the person said newer negotiations lowered the proposed valuation to as much as $300 billion.
The Japanese company is helping assemble investors for the rest of the round, one of the people said. The discussions are still in flux and could fall apart, the person said.
The $300 billion valuation would include the cash OpenAI raises in the round.
OpenAI was last valued at $157 billion in October, when it raised $6.6 billion . Roughly doubling its value in just a few months would be extraordinary even by the standards of Silicon Valley’s current AI boom.
The funding will be used in part to help OpenAI fulfill its roughly $18 billion commitment to Stargate , a joint venture with SoftBank and others to finance the construction of new data centers in the U.S. powering OpenAI’s technology. The startup also expects to use the cash to fund its money-losing business operations.
At $300 billion, OpenAI would be the second-most valuable startup in the world, behind only Elon Musk’s SpaceX, according to the data provider CB Insights. A funding round of this size would be the largest in Silicon Valley history, according to PitchBook, and blow past OpenAI’s previous fundraising record achieved in 2023, when it raised $10 billion from Microsoft .
OpenAI is attempting to raise the cash after AI models released by the Chinese firm DeepSeek led to a selloff in big tech stocks , including Nvidia , earlier this week. DeepSeek’s success with cheaply made and free-to-use AI technology has led many investors and executives to question the big-spending strategies of OpenAI and other U.S. developers.
OpenAI expected to lose around $5 billion last year on revenue of $3.7 billion, The Wall Street Journal reported in October . At the time, it projected its revenue would grow to $11.6 billion this year.
The funding talks mark a quickly deepening relationship between OpenAI chief executive Sam Altman and SoftBank CEO Masayoshi Son , who appears to have picked the ChatGPT maker as his vehicle to bet big on the AI industry.
SoftBank has separately committed to contribute some $18 billion to Stargate, which Son announced at the White House earlier this month, alongside Altman and Oracle executive chairman Larry Ellison . The project’s partners have committed to invest $100 billion in U.S. data center projects for OpenAI and plan to invest up to $500 billion over four years.
In October, SoftBank contributed $500 million to a $6.6 billion funding round for OpenAI. The following month, it launched a $1.5 billion tender offer to purchase existing shares from employees.
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JPMorgan Chase has a ‘strong bias’ against adding staff, while Walmart is keeping its head count flat. Major employers are in a new, ultra lean era.
It’s the corporate gamble of the moment: Can you run a company, increasing sales and juicing profits, without adding people?
American employers are increasingly making the calculation that they can keep the size of their teams flat—or shrink through layoffs—without harming their businesses.
Part of that thinking is the belief that artificial intelligence will be used to pick up some of the slack and automate more processes. Companies are also hesitant to make any moves in an economy many still describe as uncertain.
JPMorgan Chase’s chief financial officer told investors recently that the bank now has a “very strong bias against having the reflective response” to hire more people for any given need. Aerospace and defense company RTX boasted last week that its sales rose even without adding employees.
Goldman Sachs , meanwhile, sent a memo to staffers this month saying the firm “will constrain head count growth through the end of the year” and reduce roles that could be more efficient with AI. Walmart , the nation’s largest private employer, also said it plans to keep its head count roughly flat over the next three years, even as its sales grow.
“If people are getting more productive, you don’t need to hire more people,” Brian Chesky , Airbnb’s chief executive, said in an interview. “I see a lot of companies pre-emptively holding the line, forecasting and hoping that they can have smaller workforces.”
Airbnb employs around 7,000 people, and Chesky says he doesn’t expect that number to grow much over the next year. With the help of AI, he said he hopes that “the team we already have can get considerably more work done.”
Many companies seem intent on embracing a new, ultralean model of staffing, one where more roles are kept unfilled and hiring is treated as a last resort. At Intuit , every time a job comes open, managers are pushed to justify why they need to backfill it, said Sandeep Aujla , the company’s chief financial officer. The new rigor around hiring helps combat corporate bloat.
“That typical behavior that settles in—and we’re all guilty of it—is, historically, if someone leaves, if Jane Doe leaves, I’ve got to backfill Jane,” Aujla said in an interview. Now, when someone quits, the company asks: “Is there an opportunity for us to rethink how we staff?”
Intuit has chosen not to replace certain roles in its finance, legal and customer-support functions, he said. In its last fiscal year, the company’s revenue rose 16% even as its head count stayed flat, and it is planning only modest hiring in the current year.
The desire to avoid hiring or filling jobs reflects a growing push among executives to see a return on their AI spending. On earnings calls, mentions of ROI and AI investments are increasing, according to an analysis by AlphaSense, reflecting heightened interest from analysts and investors that companies make good on the millions they are pouring into AI.
Many executives hope that software coding assistants and armies of digital agents will keep improving—even if the current results still at times leave something to be desired.
The widespread caution in hiring now is frustrating job seekers and leading many employees within organizations to feel stuck in place, unable to ascend or take on new roles, workers and bosses say.
Inside many large companies, HR chiefs also say it is becoming increasingly difficult to predict just how many employees will be needed as technology takes on more of the work.
Some employers seem to think that fewer employees will actually improve operations.
Meta Platforms this past week said it is cutting 600 jobs in its AI division, a move some leaders hailed as a way to cut down on bureaucracy.
“By reducing the size of our team, fewer conversations will be required to make a decision, and each person will be more load-bearing and have more scope and impact,” Alexandr Wang , Meta’s chief AI officer, wrote in a memo to staff seen by The Wall Street Journal.
Though layoffs haven’t been widespread through the economy, some companies are making cuts. Target on Thursday said it would cut about 1,000 corporate employees, and close another 800 open positions, totaling around 8% of its corporate workforce. Michael Fiddelke , Target’s incoming CEO, said in a memo sent to staff that too “many layers and overlapping work have slowed decisions, making it harder to bring ideas to life.”
A range of other employers, from the electric-truck maker Rivian to cable and broadband provider Charter Communications , have announced their own staff cuts in recent weeks, too.
Operating with fewer people can still pose risks for companies by straining existing staffers or hurting efforts to develop future leaders, executives and economists say. “It’s a bit of a double-edged sword,” said Matthew Martin , senior U.S. economist at Oxford Economics. “You want to keep your head count costs down now—but you also have to have an eye on the future.”
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