OpenAI plans to almost double its workforce to about 8,000 employees by year’s end as it ramps up its enterprise strategy and catches up with rivals, the Financial Times reported Saturday.
Hiring will span engineering, research, product, sales, and customer-focused deployment roles designed to increase business adoption of its tools.
The expansion comes as Sam Altman’s company accelerates efforts to strengthen enterprise revenues and respond to growing pressure from rivals such as Anthropic and Google across both the enterprise and consumer AI markets.
Anthropic, OpenAI’s closest rival in enterprise AI, has made progress with its Claude product line. Eight of the Fortune 10 companies now use Claude. Google’s Gemini models continue to advance as well, backed by Google’s distribution reach and cloud infrastructure.
OpenAI is also reorganizing product offerings, including tighter integration of tools like ChatGPT and Codex.
The hiring push follows OpenAI’s $110 billion fundraise completed in February 2026, which valued the company at $730 billion pre-money. The deal strengthens its compute capacity and global reach as demand for AI products continues to surge.
OpenAI eyes public listing
OpenAI is preparing for a potential IPO as early as Q4 2026.
The company is hiring experienced financial and operational leaders while pushing to convert its massive user base into high-value business customers across coding, research, and workplace applications.
The potential public listing may become one of the biggest tech IPOs in recent years, or even of all time, alongside Elon Musk’s SpaceX and Anthropic.
SpaceX is advancing plans for a 2026 IPO and has selected major Wall Street banks as lead advisers and underwriters.
The company is considering raising over $25 billion, which would rank among the biggest IPOs in history. Its valuation has already surged through secondary sales and could surpass $1 trillion if it goes public.
Rapid hiring boom could raise cost risks
OpenAI’s willingness to spend at this pace, backed by investors who have committed historic sums, will likely prompt similar expansions by competitors. If enterprise buyers prove slower to commit than projections assume, OpenAI could find itself carrying an oversized workforce and enormous fixed costs that strain even a $25 billion revenue base.
The company also faces multiple lawsuits related to training data and intellectual property, adding uncertainty that enterprise customers weigh when selecting long-term technology partners.
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