Global enterprise adoption of artificial intelligence has surged explosively, yet the staggering costs involved are forcing some companies to hit the emergency brakes. This year, executives across industries have vigorously pushed employees to integrate AI tools into their workflows, investing heavily in experimental usage to signal to Wall Street that they will "not fall behind." However, this frenzy has triggered a spike in token costs—some firms exhausted their annual AI budgets within just three months, while expenses doubled or even tripled. Currently, leaders at Uber, Meta, Microsoft, Salesforce, DoorDash, and other major corporations are taking measures such as restricting certain employees' access to specific tools, steering staff toward more cost-effective alternatives, and establishing tracking mechanisms linking token consumption to business outputs. By March, Uber had depleted its agentic AI budget for the year; Microsoft limited select employee access to Anthropic's Claude Code; and Salesforce introduced systems to track how token usage contributes positively to business outcomes. In an internal memo released in April, Meta Chief Technology Officer Andrew Bosworth stated bluntly: "Do not adopt AI simply because you can. All activity does not equal progress, and raw token volume cannot measure any impact." Notably, despite Anthropic recently securing $65 billion in funding with a valuation reaching $965 billion, Google processing over 3.2 trillion tokens monthly (seven times last year's figure), corporate AI spending efficiency remains concerning. Data from Entelligence AI shows that among companies using advanced AI coding tools, merely 18% of token expenditures translate into actually launched products. While the AI fervor appears to be cooling, industry consensus holds that we remain in the "early stages"—the true transformation lies far ahead.