OpenAI reportedly expects to burn through $280 billion over the next five years as its investments in computing infrastructure outpace the cash generated by its business.
The ChatGPT maker projected approximately $1.1 trillion in cumulative cash spending from 2026 through 2030. Although annual revenue is forecast to rise from $36 billion in 2026 to $350 billion in 2030, OpenAI still expects about $280 billion in negative cash flow over that period.
For enterprise customers, the financial pressure could influence OpenAI’s API prices, subscription plans, infrastructure partnerships, and pace of product development.
OpenAI has been on the hunt for another round of investment after confirming a delay to its IPO until at least 2027. According to presentations seen by the Financial Times, the AI lab expects its available cash to run out by 2028, fuelling the need for another funding round.
The company is reportedly seeking new funding at a valuation of about $1.2 trillion. If completed on those terms, the deal would place it among the world’s most valuable private companies.
Multiple headwinds pushing OpenAI away from IPO
OpenAI CEO Sam Altman and Anthropic CEO Dario Amodei have both raised concerns about increasingly capable AI systems, although their specific positions on slowing development are not identical. Altman cited the need for greater security and governance as key reasons for delaying the IPO.
Some current and former OpenAI researchers have called for stronger safety limits and warned that advanced AI could pose catastrophic risks.
How OpenAI pitches itself to investors in this round will be interesting, given its public statements about slowing development and taking more time to assess model safety.
The projected $280 billion in negative cash flow suggests financial considerations may also affect the timing of an IPO, although OpenAI has not publicly identified the forecast as a reason for delaying a listing. Even after going public, OpenAI would not immediately qualify for the S&P 500. The index applies several eligibility requirements, including a profitability test, and admission is ultimately decided by an index committee.
Another factor is growing competition from open-weight rivals in China. Lower-cost open-weight models from Chinese developers are increasing pricing pressure in the enterprise AI market. OpenAI has also reduced prices for some models, although it is unclear how much those changes were driven by Chinese competitors or how they have affected business revenue.
Through ChatGPT, it still has the most users of any AI product in the world, recently surpassing one billion active users. However, converting ChatGPT’s large free-user base into sustainable revenue remains difficult while inference and infrastructure costs remain high. To improve its margins, OpenAI either needs to make model output far more efficient, convince more users to pay for higher-cost subscriptions, or improve its nascent advertising platform.
Key rival pushes forward into public markets
While OpenAI continues to seek private funding, Anthropic is reportedly preparing for a possible public listing. The timing and valuation of any IPO remain unconfirmed and could change with market conditions, safety concerns, or the company’s infrastructure requirements.
Anthropic’s revenue has grown rapidly, but its expansion also depends on costly computing capacity and data-centre agreements. Investors evaluating either company will therefore be watching more than revenue growth: the central question is whether rising demand can eventually outpace the cost of training and operating frontier AI models.
For enterprise customers, the outcome could shape model pricing, vendor stability, and long-term competition in the AI market. Until either company demonstrates that revenue can consistently outgrow infrastructure costs, its forecasts should be treated as ambitious targets rather than assured results.