OpenAI Targets $70 Billion Annualized Revenue by Year-End, September's $50 Billion Figure Briefly Sparked US Tech Stock Selloff

Deep News
Yesterday

OpenAI projects that its annualized revenue will reach or exceed $70 billion by the end of 2026, with growth primarily driven by its enterprise business.

Just hours earlier, reports emerged that OpenAI's annualized revenue as of the end of September was approximately $50 billion, notably below the $70 billion target previously communicated to the market, briefly triggering investor concerns about returns on massive artificial intelligence investments and dragging US stocks, particularly technology shares, sharply lower.

The latest news indicates that OpenAI remains on track to achieve the revenue target previously conveyed to investors, prompting Nuveen NASDAQ 100 Dynamic Overwrite Fund (QQQX) futures to rebound approximately 0.5%.

Annualized revenue still short of $70 billion target, enterprise business becomes key growth driver

OpenAI expects that by the end of 2026, its annualized revenue will reach or surpass $70 billion, with enterprise client business serving as the primary engine of revenue growth.

Just hours before this news was released, another report disclosed that OpenAI's annualized revenue as of the end of September was approximately $50 billion, a gap of $20 billion from the previously circulated $70 billion target.

The discrepancy between the two figures mainly comes down to timing: the $50 billion reflects the actual annualized revenue level at the end of September, while the $70 billion represents OpenAI's expectation for the end of the year.

Based on this target, the company would need to increase its annualized revenue by approximately 40% in the final three months of the year.

Annualized revenue is typically calculated by extrapolating a company's current revenue run rate into a full-year figure, used to measure business growth, and is not equivalent to actual full-year operating revenue already realized.

For rapidly expanding AI companies such as OpenAI and Anthropic, this metric is also an important basis for investors to assess AI market demand and future computing infrastructure investment.

Revenue growth expectations move US stocks, Nasdaq futures rebound about 0.5%

After the news that OpenAI's annualized revenue was only $50 billion was published, US stocks saw significant selling, with the technology sector particularly hard hit.

Over the past few years, technology companies have invested trillions of dollars in artificial intelligence infrastructure.

As investment scales continue to expand, investors are increasingly focused on whether AI companies' commercialization revenue can support massive capital expenditures.

As a key player in the artificial intelligence field, OpenAI's revenue growth rate has become one of the critical indicators for the market to evaluate the prospects of AI investment returns.

Subsequently, news that OpenAI remains on track to achieve its $70 billion annualized revenue target by year-end alleviated some concerns, driving US stock index futures higher.

Valuation could reach $1.4 trillion, but massive cash burn remains a challenge

Despite rapid revenue growth, OpenAI still faces considerable challenges in achieving profitability.

Reports previously indicated that OpenAI expects cumulative cash consumption to reach $280 billion by 2030.

The company may continue to record annual losses, as rapid revenue expansion has not yet translated into stable profitability.

Meanwhile, OpenAI is in negotiations for a new funding round, with the company's valuation under discussion reaching $1.4 trillion.

The company has previously confirmed that it will not seek an initial public offering (IPO) in 2026.

Against this backdrop, OpenAI needs to continue relying on external financing to support model training, inference services, and computing infrastructure expansion.

Its revenue growth rate, capital consumption scale, and future profitability path will continue to influence investors' judgment of the company's valuation.

Anthropic accelerates competition for enterprise clients, AI commercialization rivalry heats up

OpenAI also faces increasingly intense challenges from competitor Anthropic.

Anthropic's Claude series of models has been expanding its influence in the enterprise market in recent years, particularly standing out in enterprise programming software.

Earlier this year, Anthropic leveraged the competitive advantages of related products to gain leadership in certain markets.

The two sides are currently engaged in fierce competition over advanced AI model development and enterprise clients.

As enterprise business becomes an important growth source for OpenAI to achieve its revenue targets, the battle for the enterprise-level AI market will become even more critical.

Anthropic has also not yet achieved profitability, but according to reports, the company is expected to file for an IPO in November this year.

For OpenAI, the importance of the $70 billion annualized revenue target by year-end lies not only in proving that its enterprise business remains rapidly expanding, but also in whether the market can continue to accept its massive computing investment and $1.4 trillion potential valuation.

$70 billion target unchanged, but profitability outlook remains uncertain

The latest disclosures indicate that OpenAI's annualized revenue as of the end of September was approximately $50 billion, while the previously circulated $70 billion figure represents an estimate under a different methodology and a year-end growth target.

The discrepancy in revenue figures also involves differences in how OpenAI and Anthropic account for revenue from cloud service partners.

Although OpenAI still expects annualized revenue to reach $70 billion by year-end, its projected cumulative cash consumption of up to $280 billion over the coming years, along with increasingly fierce competition in the enterprise-level AI market, remain issues of concern for investors.

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

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