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Technology

Amid concerns over high AI bills, OpenAI introduces new spending controls to help cut costs

me.sumitji@gmail.com 19 Jun 2026 1 hour ago

Since AI companies like OpenAI and Anthropic adopted consumption-based pricing models, businesses must pay based on how much they use AI—much like paying an electricity bill. The more employees use AI tools and the more advanced the models they access, the higher the bill. In some cases, costs have been astronomical. Ride-hailing giant Uber recently revealed that it exhausted its annual AI budget in just a few months, highlighting how quickly expenses can skyrocket as AI adoption gains momentum within a company.

While many companies believe AI can transform their operations, they are increasingly seeking ways to prevent expenses from spiralling out of control. Now, OpenAI appears to be addressing these concerns.

OpenAI launches new spending controls

On Thursday, the company announced a series of new spending controls and usage analytics for ChatGPT Enterprise, its AI platform for businesses. The goal is simple: to give companies a clearer view of how their AI budget is being spent and to allow them to set limits before costs become unmanageable. OpenAI stated that administrators will now have access to a detailed dashboard showing how ChatGPT and Codex credits are being used across the organisation. They will be able to identify which employees are using AI the most, which products are consuming the most credits, and even which AI models are generating the highest costs. The company noted that this information will help businesses spot usage patterns early and make informed decisions regarding their AI investments. "With greater visibility and more flexible controls, organisations can proactively manage costs, provide teams with the access they need, and focus AI investments on the most important tasks," OpenAI stated in a blog post.

Companies can set limits for teams and employees The company is also introducing spending caps. Account managers can now set a default credit limit for the entire workspace and establish specific limits for different teams. They can even allocate additional credits to employees who require greater AI capacity to perform their roles. For their part, employees will be able to check their credit usage and request more if necessary, providing an explanation for the request.

The AI industry enters a new phase

This move suggests that the AI industry may be entering a new phase. Over the past two years, the focus has primarily been on developing more powerful AI models. Now, as companies invest millions of dollars in these tools, controlling costs is becoming just as important as enhancing capabilities. And for companies still trying to determine if AI is worth the investment, knowing exactly where every dollar spent on this technology goes could make all the difference.

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