OpenAI's next test may be less about whether people use AI and more about whether the company can turn that demand into revenue at a pace the technology industry has not seen before.
The company is reportedly forecasting a rise from $13 billion in 2025 to $100 billion by 2028 or 2029. That would make OpenAI's business challenge almost as significant as its technical one.
A revenue target with few comparisons
According to Epoch AI, only seven US companies in the past fifty years that Epoch AI could find have grown from $10 billion to $100 billion in sales within ten years or less. OpenAI's reported projection would reach that range in just about three years.
That timing is what makes the forecast stand out. The source notes that the fastest US companies to make the jump from $10 billion to $100 billion did so in seven years, with Tesla and Meta holding that record. Google, described as the closest software peer, needed a full decade.
The comparison matters because OpenAI is not merely trying to become a large technology company. It is reportedly aiming to compress a rare business expansion into a much shorter period than the fastest examples listed by Epoch AI.
Other fast-growing companies show how hard the second part of the climb can be. The source says many companies that reached $10 billion, including Moderna and Cheniere Energy, have yet to pass $40 billion. That gap highlights the difference between proving a major market and building a $100 billion sales engine.
Why subscriptions may not be enough
ChatGPT is central to OpenAI's business, but the reported revenue plan appears to require more than subscriptions alone. The source says OpenAI expects about half its 2028 revenue to come from ChatGPT.
That leaves the rest of the target dependent on other lines of business. The source points to advertising, shopping, and automating knowledge work as likely areas where OpenAI would need meaningful revenue.
This is a different kind of scaling problem. A popular consumer product can create visibility and recurring revenue, but a $100 billion target asks for multiple business models to work at once. Each would need to add material sales without being drowned out by the cost of serving AI systems.
That is why OpenAI's forecast is not only a statement about user demand. It is also a bet that AI can become part of many commercial workflows quickly enough to support one of the steepest revenue climbs ever described for a US company.
The infrastructure side of the bet
The source also frames OpenAI's growth plan through the cost of infrastructure. If the company falls short, it may need to rethink costly infrastructure deals with Nvidia, AMD, and Broadcom.
That possibility matters beyond OpenAI itself. The source says a shortfall could create ripple effects across the AI industry because so many companies are now intertwined. In other words, OpenAI's revenue performance could affect expectations around companies supplying the hardware and systems behind AI growth.
The pressure is straightforward: OpenAI needs enough revenue to justify large infrastructure commitments, while those same commitments can make margins harder. Strong demand may not automatically translate into easy profitability if the cost of running and expanding AI services remains high.
Even so, the source notes that coming close to the targets would still be remarkable. It would show strong demand for OpenAI's products and services, even if high infrastructure costs continue to make AI margins a difficult challenge.
What the forecast would prove
If OpenAI reaches $100 billion by 2028 or 2029, the milestone would say something important about the commercial scale of AI. It would suggest that AI tools are not only widely used, but also capable of supporting enormous spending across consumer and business markets.
If OpenAI misses the target, the outcome would still be informative. A smaller but still large revenue base could show that demand is real while also revealing the limits of the current business model, especially when infrastructure costs are included.
The key question is not whether OpenAI can grow. The reported $13 billion starting point in 2025 already implies a substantial business. The harder question is whether it can multiply that base fast enough to reach a level that only a small number of US companies have reached quickly, and none in the roughly three-year window described in the source.
For now, OpenAI's rumored forecast puts two forms of scaling side by side. The company has to keep advancing AI systems, but it also has to scale revenue, distribution, and new business lines fast enough to support the infrastructure behind them.
That makes the coming years a test of demand, cost discipline, and execution. The reported target is extraordinary because it asks all three to move together.