OpenAI has clinched the biggest funding deal ever, hauling in $122 billion to hit an eye-watering $852 billion valuation, the firm announced on Tuesday. This blockbuster round tops the $110 billion goal it floated back in February and signals the artificial intelligence leader’s relentless push amid feverish market hype for a stock market debut.
SoftBank took the helm alongside big names like Andreessen Horowitz and D. E. Shaw Ventures. Since ChatGPT burst onto the scene in 2022 and kicked off the AI revolution, OpenAI has exploded into a commercial juggernaut. The chatbot now draws more than 900 million weekly users, including over 50 million subscribers, figures that stack up against the biggest social networks, as Bloomberg reports.
Investors piled in with gusto. Amazon promised up to $50 billion, while Nvidia and SoftBank each stumped up $30 billion in initial pledges. The extra $12 billion flowed from banks and private wealthy backers, marking a fresh approach for OpenAI.
“AI is driving productivity gains, accelerating scientific discovery, and expanding what people and organizations can build,” the company said in its release. “This funding gives us the resources to continue to lead at the scale this moment demands.”
Boss Sam Altman now shoulders the weight of proving this sky-high worth, especially with an IPO on the horizon. Revenue surges to $2 billion a month from last year’s $13.1 billion total, but profits remain elusive amid hefty cash burn.
Lately, OpenAI has trimmed sails by ditching its Sora video app and curbing data centre splurges, moves analysts at CNBC call pre-IPO prudence. Microsoft, its key partner with north of $13 billion already sunk in, joined the fray again without revealing its stake.
Experts at The Financial Times flag this as IPO groundwork, potentially crowning OpenAI bigger than swathes of the FTSE 100. PwC predicts AI will inject $15.7 trillion into world GDP by 2030, and OpenAI is laying the groundwork for that intelligent future.
“Moments like this do not come often,” OpenAI noted. “The capital being deployed today is helping build the infrastructure layer for intelligence itself. Over time, that value will flow back into the economy, to companies, to communities, and increasingly to individuals.”
Yet watchful eyes from regulators highlight risks like job losses and power guzzles as AI models grow hungrier.