China AI firms enter 'value era' as token usage soars

This piece captures a mood shift inside China’s AI ecosystem: from showing off ever‑larger parameter counts to asking whether those models pay for themselves. The reported 140‑trillion‑token‑per‑day usage figure underscores how deeply LLMs have penetrated Chinese industry and public services, but the framing is about pressure—cloud costs, GPU shortages and investors demanding proof that usage translates into profit, not just demos. That pushes local labs toward vertical solutions, enterprise integration and pricing discipline rather than pure capability flexing.([wap.eastmoney.com](https://wap.eastmoney.com/a/202605293754624295.html?utm_source=openai))

For the global race to AGI, a “value verification” era cuts both ways. On one hand, capital may flow less into speculative giant‑model training runs and more into squeezing value out of existing systems, which could slow maximalist scaling efforts. On the other, once models are embedded across finance, telecom, manufacturing and government, revenue from those deployments can fund the next generation of frontier models. The article’s subtext is that only a handful of players—with strong balance sheets, data access and distribution—will survive this phase, which may further concentrate China’s AGI contenders around a few big tech and state‑linked champions.

The focus on token economics also mirrors shifts in Silicon Valley, where investors increasingly obsess over inference margins, utilization and agent productivity gains rather than just benchmark wins.