《财新周刊》2026年7月6日的封面文章突出了Token（词元）从技术计量单位向企业核心生产资料的转型。例如，英伟达提议分配相当于工程师年薪约50%的Token，强调了其至关重要的实用价值。相反，优步（Uber）在短短四个月内就完全耗尽了其全年的人工智能预算，由于无法控制的Token成本，被迫立即限制员工使用Claude Code等先进的人工智能工具。

为了应对这一不断变化的格局，大型企业正在进行内部重组。中国移动设立了集团级Token办公室，以加速算力的商业化。在运营方面，商汤科技等基础设施巨头正在利用本地化的人工智能模型来对抗每千瓦38元人民币的用电高峰附加费，成功将年化电力成本降低了7%，从而标杆化精细的每Token成本效率。

这篇长达12,165字的文章细分了五个战略焦点：价格战、成本驱动的“中间层”、白领市场争夺、行业壁垒以及严重的人才缺口。随着多智能体系统连续协同工作数小时，兴起的Token经济迫使现代企业从单纯的技术消耗转向将处理单元作为核心财务资产进行严格核算。

The July 6, 2026 cover story of Caixin Weekly highlights the transformation of Tokens from technical units into essential corporate production materials. For instance, Nvidia proposed allocating tokens equivalent to approximately 50% of an engineer's annual salary, emphasizing its vital utility. Conversely, Uber completely exhausted its entire annual AI budget within just four months, forcing immediate restrictions on employee access to advanced AI tools like Claude Code due to unmanageable token costs.

To navigate this shifting landscape, major corporations are reorganizing internally. China Mobile has established a group-level Token Office to accelerate the commercialization of computing power. Operationally, infrastructure giants like SenseTime are employing localized AI models to counteract electricity peak surcharges of 38 RMB per kilowatt, successfully shaving annualized power costs by 7% to benchmark precise cost-per-token efficiency.

Spanning 12,165 words, the report breaks down five strategic focal points: pricing warfare, cost-driven intermediary layers, white-collar market capture, industry barriers, and severe talent shortages. As multi-agent systems collaborate continuously for hours, the rising token economy pressures modern enterprises to transition from raw technical consumption to rigorous accounting of processing units as core financial assets.