OpenAI is planning to expand its workforce by nearly 80% this year, as it ramps up efforts to win enterprise customers and strengthen its position in the rapidly evolving artificial intelligence market.
The company aims to increase headcount from about 4,500 to around 8,000 employees by the end of 2026, according to the Financial Times. The hiring surge marks one of the most aggressive expansions among AI firms as competition intensifies.
Hiring surge to support business push
The new roles will be concentrated across product development, engineering, research and sales, reflecting OpenAI’s shift towards scaling commercial applications of its technology. The company is also recruiting specialists focused on what it calls “technical ambassadorship” — helping enterprise clients deploy and integrate its AI tools effectively, the Financial Times reported.
To support the expansion, OpenAI has signed a new lease in San Francisco, taking its office footprint in the city to more than 1 million square feet. The company is expected to hire at a pace of roughly 12 employees a day over the coming months.
Competition intensifies in enterprise AI
The hiring push comes as OpenAI faces mounting competition from rivals such as Anthropic and Google. While OpenAI has led in consumer adoption through ChatGPT, it is now accelerating its enterprise strategy to capture a larger share of business spending on AI.
According to the Financial Times, data from payments platform Ramp suggests that new business customers are choosing Anthropic at a significantly higher rate than OpenAI. The company, however, has disputed those findings, arguing that enterprise contracts cannot be accurately assessed through such data.
OpenAI has internally signalled a sharper focus on its core products. Chief executive Sam Altman previously issued a “code red” directive urging teams to prioritise ChatGPT, while senior leadership has pushed to strengthen its coding capabilities and enterprise offerings.
Strategic reset under way
The company is also exploring new commercial avenues, including bundling its coding model Codex with ChatGPT into a unified product for both consumers and businesses, a move first reported by The Wall Street Journal. It is also in discussions with private equity firms to deploy its technology across portfolio companies.
Despite rapid growth, OpenAI — like its peers — remains lossmaking, investing heavily in training advanced AI models. Both OpenAI and Anthropic are under pressure to scale revenues and move towards profitability, particularly as they prepare for potential public listings.
Balancing scale with execution
OpenAI’s expansion signals a shift from experimentation to execution. While its consumer base remains vast — with hundreds of millions of users — monetisation remains a challenge, with a large majority not yet paying for its services.
The focus on enterprise adoption reflects a broader industry trend, where AI companies are embedding specialists within client organisations to drive usage and revenue.
What lies ahead
OpenAI’s ability to translate rapid hiring into sustainable growth will depend on how effectively it can convert enterprise demand into long-term revenue while maintaining product leadership.
As competition intensifies, the company’s next phase will be defined not just by scale, but by execution — and how quickly it can turn its technological edge into a durable business advantage.