Many companies are facing large budget deficits because the cost of using AI tokens is rising quickly. As a result, there is a growing need for better financial oversight and the creation of new industry standards.

許多公司正面臨巨大的預算赤字，因為使用 AI token 的成本快速上升。因此，市場對更完善的財務監管以及建立新行業標準的需求日益增加。

The growth of advanced AI agents has caused a surge in token spending, with some companies spending their entire annual budget in just three months. Reports show that although the price per token has dropped, the total amount used has increased significantly. For example, some organizations have spent hundreds of millions of dollars more than expected because they did not set usage limits. Furthermore, data from Jellyfish suggests that while high-token users are more productive, the cost increases much faster than the productivity, making it difficult to calculate the return on investment (ROI).

進階 AI agent 的成長導致 token 支出激增，部分公司在短短三個月內就耗盡了全年預算。報告顯示，儘管單個 token 的價格已下降，但總使用量顯著增加。例如，某些組織因未設定使用上限，導致支出超出預期數億美元。此外，Jellyfish 的數據顯示，雖然高 token 使用者的生產力較高，但成本增加的速度遠快於生產力的提升，使得投資報酬率（ROI）難以計算。

To manage this volatility, a new market for AI financial management has appeared. This includes specialized optimization firms and cloud providers that offer tools to monitor token usage. Additionally, the Linux Foundation has created the Tokenomics Foundation. This organization aims to establish a standard framework for AI economics, introducing new metrics like 'cost-per-intelligence' to make billing more consistent across different vendors.

為了管理這種波動，一個新的 AI 財務管理市場隨之而來。這包括專門的優化公司以及提供 token 使用監控工具的雲端供應商。此外，Linux 基金會成立了 Tokenomics 基金會。該組織旨在為 AI 經濟建立標準框架，引入如「智能成本」（cost-per-intelligence）等新指標，使不同供應商之間的計費更加一致。

Meanwhile, smaller companies are using different strategies to reduce costs. Some startups avoid expensive enterprise contracts and instead use individual 'prosumer' subscriptions. While this approach allows them to use AI at a much lower cost, it often means they have to give up the security, governance, and data privacy protections that come with formal business agreements.

與此同時，較小型公司則採取不同的策略來降低成本。部分新創公司避開昂貴的企業合約，轉而使用個人「專業消費者」（prosumer）訂閱方案。雖然這種方式能以極低的成本使用 AI，但通常意味著他們必須放棄正式商業協議所提供的安全性、治理與數據隱私保護。

The industry is now moving away from rapid, uncontrolled adoption and is instead focusing on strict financial limits and standardized accounting methods.

該產業目前正從快速、不受控的採用，轉向專注於嚴格的財務限制與標準化的會計方法。