Across the industry, companies are starting to balk at the price of AI. Uber blew through its entire 2026 AI coding budget by April. Microsoft revoked its developers’ Claude Code licenses months after enabling them. A Priceline employee told TechCrunch that a routine Cursor contract renewal came back 4-5x more expensive.
The push for more AI adoption and increasingly autonomous agents has driven token consumption higher and higher, despite per-token prices having fallen. Companies that gorged themselves in early 2025 on all-you-can-eat subscriptions are now scrambling to understand where their money is going, pull back spending, and figure out whether they can salvage some ROI from the wreckage of their budgets.
The Problem with AI Token Costs
The issue lies not just in the sheer scale of token consumption but also in the lack of visibility into how these costs are being incurred. Companies are struggling to track what they spend on AI tokens, making it difficult to manage and optimize their expenses. “Six months ago, I would have a conversation with a customer and it would be all about ‘What can it do? Is it good enough?’” Alexander Embiricos, OpenAI’s head of enterprise, told TechCrunch at an event in New York City this week.
“Our conversations are never about that now. Now the conversations are about, ‘hey, we’re spending so much. What visibility do you have? What auditability do you have? What token controls do you have? What is the efficiency of your models?’”
The Emergence of a New Market
In response to this problem, a market is forming around AI spend management. Startups and established vendors are racing to give companies the tools and language to track what they spend on AI tokens. This includes companies like Pay-i, which tracks, measures, and optimizes the costs and performance of GenAI investments, and Paid, which lets developers track costs, measure usage, and bill users based on actual value rather than subscription fees.
The Role of Standards Bodies
The Linux Foundation has unveiled plans for the Tokenomics Foundation, a new standards body that aims to instill the same cost discipline around AI tokens that FinOps did for cloud spend. J.R. Storment, executive director of the FinOps Foundation, told TechCrunch that companies are crying out for solutions to manage their token costs.
“In April and May, I started hearing from companies: ‘Oh my god, we are 3x over our entire 2026 token budget and it’s only April,’” Storment said. “We started hearing existential crises, and the whole conversation shifted from tokenmaxxing and ‘go fast’ to ‘we need guardrails, how do we control this?’”
Conclusion
The AI token bill is coming due for companies across the industry. With costs rising and visibility lacking, a scramble for solutions has begun. As the market for AI spend management continues to grow, one thing is clear: companies must find ways to manage their AI token costs or risk facing financial ruin.
Source: Original article