OpenAI is mounting an aggressive push to reclaim enterprise customers from rival Anthropic, enlisting consulting partners to deploy its coding tools as both companies jockey for position ahead of potential public offerings later this year.
The artificial intelligence lab has tapped over half a dozen consulting firms to help businesses scale Codex, its flagship coding product. Those partners will receive early access to OpenAI's emerging tools, a move designed to give enterprises a competitive advantage as they reshape operations around AI. Chief revenue officer Denise Dresser framed the strategy to Axios as helping businesses "rethink their business processes in the age of AI in a different way."
The initiative signals OpenAI's shift toward enterprise revenue after losing ground to Anthropic. According to spending data from Ramp, Claude Code's rapid adoption has driven customers to allocate more budget to Anthropic than OpenAI, a reversal that has rattled executives.
In a memo to staff last week, Dresser acknowledged the intensity of the moment: "the market is as competitive as I have ever seen it." The two labs are now fighting across multiple fronts: compute infrastructure, enterprise adoption rates, and model quality. Both are racing toward IPOs that could arrive as soon as fall, making near-term revenue growth and customer loyalty increasingly consequential.
The stakes are enormous. Anuj Kapur, CEO of AI infrastructure firm CloudBees, notes that the industry is operating in "winner-take-all mode" at "every layer of the tech stack." Momentum matters because in AI, growth compounds. More paying customers generate more revenue, which buys more computing power, which can improve model performance and attract even more users.
OpenAI claims a decisive edge in raw compute capacity. The company highlighted this advantage in a recent investor letter reviewed by Axios, positioning its infrastructure advantage as key to staying ahead on model performance and enabling continued experimentation.
Anthropic is taking a different approach. CEO Dario Amodei has cautioned against aggressive compute spending, citing high costs and unpredictable demand. Yet Anthropic announced an expanded partnership with Amazon on Monday that could secure up to 5 gigawatts of additional computing power, signaling the company is not sitting still.
Secondary market investors appear more bullish on Anthropic's prospects. Multiple reports indicate investor demand favors Anthropic over OpenAI in private equity trading, a barometer of confidence ahead of any IPO filing.
Tech investor and White House adviser David Sacks warned on the All-In podcast that if OpenAI fails to close its revenue gap quickly, "Anthropic could take a lead here that, let's say, over the next one or two years, could be insurmountable." The insight underscores how fast the advantage could shift in an industry where network effects and compute scale create durable moats.
The contrast in strategy is stark. OpenAI is spending to acquire users and market share. Anthropic is spending to secure its competitive position while protecting profit margins. Both are chasing the same prize: the largest IPO debuts in history, financed by customers who can't afford to wait on the sidelines.
Author James Rodriguez: "OpenAI's consultant play is smart but desperate, and it proves Anthropic has already landed the harder punch in enterprise."
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