Across the tech industry, companies are grappling with soaring costs of AI. Uber spent its entire 2026 coding budget by April, while Microsoft had to revoke developer licenses after a short-lived trial period. A Priceline employee reported that their routine contract renewal was four to five times more expensive than usual.

Despite per-token prices falling, the push for increased AI adoption and autonomous agents has significantly boosted token consumption. Early 2025’s all-you-can-eat subscriptions have left companies reeling as they scramble to manage spending.

A new market is emerging to help. Startups, established vendors, and a new standards body are racing to provide tools for tracking AI expenses. The Linux Foundation unveiled plans for the Tokenomics Foundation, aiming to instill cost discipline similar to FinOps in cloud spend management.

The conversation has shifted from ‘what can it do?’ to ‘how much will it cost?’ according to Alexander Embiricos of OpenAI. Companies are now questioning their token efficiency and seeking auditability measures. Experts warn that tracking AI costs is a monumental task, requiring radical changes to tooling and accounting systems.

At the heart of this issue lies the balance between productivity gains and financial strain. Engineers at Priceline spent $40,000 on tokens in one month, raising questions about whether such spending can be justified by business value. As the market for AI cost management tools emerges, companies are racing to find solutions that will help them navigate this new landscape.