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Companies are scrambling to reduce AI token spending as costs mount, with Accenture revealing that non-engineers and PDF-to-markdown conversions are major token consumers.
Amazon spent $1.8 million on a Claude AI project that went 860% over budget, highlighting the cost risks of deploying AI agents for coding tasks.
A user shares their experience spending over $100/day on AI tokens via OpenRouter, primarily for coding tasks, and asks for cost reduction advice.
Meta is capping internal AI token spending after employee usage costs approached billions in 2026, implementing centralized monitoring and formal token budgets to curb 'tokenmaxxing'.
Sam Altman acknowledged that AI costs have become a 'huge issue' for customers, noting a rapid shift from early 2026 when spending concerns were largely absent. He highlighted the sudden emergence of cost concerns among OpenAI's users.
AI agents are causing runaway token consumption, turning overspend into a production incident category. The article highlights cases like a single engineer's $1.3M OpenAI bill and Uber burning its annual AI budget in four months, and asks the community how they are capping agent spending.