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OpenAI sweetens private equity pitch amid enterprise turf war with Anthropic, sources say

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OpenAI is intensifying its push into the enterprise AI market by sweetening its pitch to private equity firms, as competition with rival Anthropic escalates. According to sources, the company is offering attractive financial incentives, including a guaranteed minimum return of about 17.5 percent, alongside early access to its latest AI models to entice investors.

The strategy is part of a broader effort to secure partnerships with major private equity players such as TPG, Advent International, Bain Capital, and Brookfield. These firms control large portfolios of companies, making them valuable distribution channels for enterprise AI tools. OpenAI is seeking roughly 4 billion dollars in investment at a valuation of around 10 billion dollars for this joint venture initiative.

At the core of the move is a growing “turf war” in enterprise AI, where both OpenAI and Anthropic are racing to embed their technologies across corporate ecosystems. Private equity firms offer a shortcut to scale, allowing AI providers to deploy tools across dozens or even hundreds of companies simultaneously, accelerating adoption and locking in long term customers.

However, not all investors are convinced. Some firms have reportedly declined participation, citing concerns over returns, flexibility, and whether such structured deals are necessary given the already widespread availability of AI tools. Others are opting for smaller stakes without governance control, reflecting cautious optimism about the sector.

The aggressive outreach comes as OpenAI ramps up its broader enterprise strategy, including plans to significantly expand its workforce and increase the share of revenue coming from business clients. The company is aiming to compete more directly with Anthropic, which has recently gained traction in enterprise use cases, particularly in coding and developer tools.

The battle between the two firms is also tied to longer term ambitions, including potential IPOs and the need to justify massive investments in AI infrastructure. As both companies burn billions to develop advanced models, securing enterprise revenue streams has become critical to sustaining growth and convincing investors of their long term profitability.

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