The enterprise strikes back: Keep your data, ditch the AI bill.

The enterprise strikes back: Keep your data, ditch the AI bill

As the AI cost crisis begins to fade from the forefront, a related fear is rearing its head: The need to protect enterprise data from AI labs.

As with cost, concerns about data are nothing new. But as the AI industry matures, enterprises are growing apprehensive. The cost of AI usage mattered less when inference loads were modest, and similarly, data concerns could be waved away when enterprises were only planning to use AI, rather than actually doing it.

Several voices in the tech world are proposing one solution to both concerns: Lower-cost, open AI models trained on private data for internal use.

Let me catch you up…

Companies that use closed-source AI from the likes of OpenAI, Anthropic or SpaceXAI pay a premium to access the most capable models on the market. Besides paying eye-watering tokens costs, enterprises are paying with their data as well, feeding information to the AI labs to create new, more intelligent models. Which they then sell back to the same enterprise customers.

Apart from creating a cycle of dependency, why is such a scenario worrying?

AI labs are expanding horizontally, building tools like Claude Cowork, ChatGPT Work, and the upcoming Cursor (SpaceXAI) general agent in a bid to push into software categories their customers currently dominate.

Microsoft in particular, may be a target. The company offers third-party models within Microsoft 365 (Office), coughing up truckloads of cash to provide its customers with AI models made by companies that are now trying to eat its lunch. For Microsoft, this is a crucible moment.

Heck, if you were Redmond, you might start experimenting with open-weight Chinese models or even start using homegrown models for inference loads.

Major AI labs are aware of this potential conflict of interest, which is why OpenAI has said API usage “is not used to train or improve OpenAI models”. Anthropic, xAi, and Google have made similar noises, and some even offer zero data retention plans to boot. But these policies are not stopping their competitors from sounding the klaxon that “AI labs are stealing from you.”

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This is an excerpt from Cautious Optimism, a modestly upbeat publication focused on technology, business, and power. Read about the solutions and the cost to your data privacy on Cautious Optimism.