Uber Overcomes AI Budget Overrun with New Strategies
The company declares the end of the tokenmaxxing era.
1Uber's AI Budget Depleted
Uber exhausted its AI budget for 2026 within the first few months of the year. The company encouraged employees to use tools like Anthropic’s Claude Code extensively, even creating leaderboards to rank software engineers based on usage. This highlighted the need for better budget control in AI spending.
2End of the Tokenmaxxing Era
Uber CTO Praveen Neppalli Naga announced the end of the tokenmaxxing era, where companies incentivized AI usage. Uber optimized efficiency by improving prompt caching and adjusting default model settings, reducing costs significantly.
3AI Costs Are Decreasing
Uber quadrupled the number of employees using frontier AI tools, lowering the cost per token. Engineers were given visibility into their AI usage and hourly costs, leading to increased efficiency and reduced overall spending.
4ROI on AI Investments
According to Deutsche Bank Research Institute, ROI on AI investments is not yet at expected levels. While Magnificent Seven companies saw profit margins rise from 15% to 25% between 2023-2026, the rest of the S&P 500 saw only a 10% increase, indicating limited widespread returns.
5Risk of Jevons Paradox
Uber faces the risk of Jevons paradox as it reduces token costs. This paradox, observed in 19th-century coal consumption, suggests that cheaper resources lead to increased spending. The same dynamic could apply to AI tokens.
6Rising Token Expenditure
The Silicon Data Token Expenditure Index shows that while token prices dropped over 90% since 2023, spending on large language models doubled since late last year. Companies are using more AI tools as costs decrease.
7Focus on Quality
Uber adopted a philosophy prioritizing quality over quantity in token spending. By making AI usage more efficient, the company managed to control costs effectively, setting an example for future AI applications.
8The Future of AI
Uber’s CTO emphasized that the future of AI will be shaped by companies that use tokens most efficiently, not those that spend the most. This new phase requires smarter and more sustainable management of AI investments.
Original article: Fortune — Uber, Yapay Zeka Bütçesini Aşınca Yeni Stratejiler Geliştirdi