OpenAI is lighting money on fire at a pace that would make even the most reckless Silicon Valley startups blush. The company’s new Sora video generation app is hemorrhaging an estimated $15 million every single day, according to Forbes analysis, in what might be the most audacious market grab the AI industry has ever seen.
The math is staggering. With a company valuation hovering around $500 billion and annual recurring revenue hitting $20 billion, you’d think OpenAI would be in good shape. But here’s the kicker: the company lost more than $12 billion last quarter alone. And their latest product launch is only accelerating that cash burn.
Why OpenAI’s Sora App is an “Unsustainable” Economic Challenge?
Sora launched on Apple’s iOS platform on September 30, and the reception was immediate and overwhelming. Despite being invitation-only, the app racked up 1 million downloads in its first week.
By Halloween, that number had exploded to 4 million downloads. The app has become a factory for AI-generated content, churning out millions of 10-second videos daily, everything from bizarre Ring doorbell footage to deceased celebrities doing unfortunate things, to unsettling home shopping network advertisements.
Bill Peebles, OpenAI’s head of Sora, admitted as much on October 30 when he stated bluntly: “The economics are currently completely unsustainable.” He wasn’t exaggerating.
Here’s why video AI is so expensive: unlike text models like GPT-5, video models need to process four-dimensional data, three spatial dimensions plus time.
They have to ensure actions make sense across dozens of frames per second. According to analyst Deepak Mathivanan from Cantor Fitzgerald, generating a single 10-second Sora video costs OpenAI approximately $1.30. Each video requires about 40 minutes of total GPU time, or 8-10 minutes when running on four GPUs simultaneously.
With an estimated 4.5 million app users and roughly 25% of them creating an average of 10 videos daily, that’s 11.3 million videos per day. Do the math: at $1.30 per video, OpenAI is spending nearly $15 million daily, translating to a mind-boggling $5.4 billion annually.
How Plummeting GPU Costs Justify OpenAI’s Current Losses?
OpenAI isn’t naive about these losses. This is a deliberate strategy, a classic internet company move of prioritizing market share and user engagement over immediate profitability. The bet is simple: build a massive user base now, worry about making money later.
“It’s a classic internet playbook to not focus on the costs initially so much as building an audience and building an engagement,” explains Lloyd Walmsley, an analyst at Mizuho. The hope is that GPU costs will plummet over time, making the economics work eventually. Mathivanan estimates that video model inference could become five times cheaper by next year and fifteen times cheaper by 2027.
How OpenAI Plans to Monetize Sora Amidst Staggering Compute Costs?
So how does OpenAI plan to turn this into actual revenue? CEO Sam Altman has already admitted that advertising alone couldn’t possibly cover Sora’s computing costs. The company is currently charging $1 for a 10-second Sora 2 video and $3 for the more advanced Sora 2 Pro model through its API, but they’re offering generous free access to regular users.
The potential monetization strategy might involve a mix of advertising and premium subscriptions from power users, think filmmakers or TV commercial creators, willing to pay top dollar. Additionally, all those free video generations provide valuable training data that could help improve OpenAI’s other models, potentially boosting future profitability.
OpenAI knows this level of generosity isn’t sustainable long-term. The company has already indicated plans to curtail free AI video generation soon. As Altman noted in an October interview: “There’s so much usage where people are just making funny memes to send to their three friends, and there is no ad model that can support the cost of that kind of a world.”
For now, OpenAI is making one of the biggest bets in tech history, hoping that today’s staggering losses will transform into tomorrow’s dominant market position. Whether that gamble pays off remains to be seen, but one thing is certain: they’re playing for keeps with very deep pockets.
