# The end of 'tokenmaxxing': enterprises ration AI spend

> Enterprises are rationing AI spend as Chinese open-weight models hit ~61% of OpenRouter's top-model traffic.

*The brief: buyers are capping AI budgets and routing spend to cheaper Chinese open-weight models, just as OpenAI and Anthropic head for IPOs.*

By The FeaturedDaily Desk · FeaturedDaily
Canonical: https://featureddaily.com/news/ai-spending-efficiency-shift-brief

> **Key:** **The spend-at-all-costs era for AI is cracking.** Enterprises are rationing advanced-AI use and routing budgets to cheaper Chinese open-weight models — just as OpenAI and Anthropic head for the public markets.

## What happened

Companies including **Uber, Microsoft, Salesforce and Meta** have moved to ration employees' use of advanced AI, CNBC reported on 26 June. The shift has a name: the end of **'tokenmaxxing'** — the practice of rewarding staff for burning as many tokens as possible, with no return-on-investment guardrails. The verdict from buyers is blunt: the token-payment model favoured by Anthropic and OpenAI proved more expensive than it's worth.

**Uber** is the cautionary tale. CTO Praveen Neppalli Naga said the company blew its **entire annual AI budget in four months**, then imposed spending tiers **starting at $1,500 a month** per employee, more on request. Startups are going further. AI-agent firm **Lindy** shifted **100% of its traffic off Anthropic's Claude to China's DeepSeek**; CEO Flo Crivello expects to save millions within months, and says he would switch back if US prices fall.

> Crivello described watching the economics flip once he migrated: "you could see that cost curve go down, like, crash to the ground," calling the move to DeepSeek "a matter of survival."
> — [CNBC](https://www.cnbc.com/2026/06/26/openai-anthropic-new-ai-spending-reality-as-users-shift-to-efficiency.html), 2026-06-26

## The money

The money is visibly moving. On **OpenRouter**, a major API-routing platform, Chinese-developed models now account for roughly **61% of token consumption** among the top 10 — a near-total reversal in eighteen months.

| OpenRouter top-10 token share | Chinese-developed models |
| --- | --- |
| Late 2024 | under 1.2% |
| April 2026 | ~51% |
| Late June 2026 | ~61% |

Leaders include **Qwen** (Alibaba), **DeepSeek**, **Kimi** (Moonshot), **GLM** (Zhipu) and **MiniMax**. Firms switch for cost and capability — and because open weights let them download a model and run it on their own servers, with no third-party cloud. US startups are now building core products, from code generation to autonomous agents, on these models rather than just demos.

> CNBC reports the White House AI crackdown is doing little to slow the trend, with Chinese model makers closing the capability gap even as buyers cite cost as the primary driver of the switch.
> — [CNBC](https://www.cnbc.com/2026/06/30/white-house-ai-china-crackdown.html), 2026-06-30

## What's next

The timing is awkward. **OpenAI and Anthropic both filed confidentially for IPOs in early June**, and their token-metered business model is now under open scrutiny — Palantir CEO **Alex Karp** called the token-based approach **'completely wrong'** on 1 July. Both labs are already cutting agent costs — Anthropic's Sonnet 5 at an introductory $2/$10, OpenAI's cheaper Terra tier — a direct answer to buyers routing around them.

## Key takeaways

- Enterprises including Uber, Microsoft, Salesforce and Meta are rationing staff AI use, ending the 'tokenmaxxing' era, per CNBC (26 June 2026).
- Uber set spending tiers from $1,500 a month per employee after its CTO said it blew its entire annual AI budget in four months.
- Chinese open-weight models now make up ~61% of token use among OpenRouter's top 10, up from under 1.2% in late 2024.
- AI-agent startup Lindy moved 100% of its traffic off Anthropic's Claude to China's DeepSeek, calling the switch 'a matter of survival.'

## FAQ

### What does the end of 'tokenmaxxing' mean?
'Tokenmaxxing' was the practice of encouraging staff to use as much AI as possible with no ROI limits. Enterprises are now reversing it, rationing advanced-AI use because the token-payment model proved more expensive than it was worth, per CNBC's 26 June report.

### Why are companies switching to Chinese AI models?
Cost and capability, plus open weights. Chinese open-weight models are far cheaper per token and can be downloaded and run on a company's own servers. One analysis put the inference-cost cut on migrated routes at around 90%.

### How much of OpenRouter's traffic goes to Chinese models?
About 61% of token consumption among OpenRouter's top 10 models, up from under 1.2% in late 2024 and around 51% by April 2026. Leaders include Qwen, DeepSeek, Kimi, GLM and MiniMax.

### Does this threaten OpenAI and Anthropic's IPOs?
It adds pressure. Both filed confidentially for IPOs in early June on a token-metered model now under scrutiny — Palantir's Alex Karp called it 'completely wrong.' Both are cutting agent prices in response.

## Sources

- [OpenAI and Anthropic face new AI reality as users shift from 'tokenmaxxing' to efficiency](https://www.cnbc.com/2026/06/26/openai-anthropic-new-ai-spending-reality-as-users-shift-to-efficiency.html) — CNBC, 2026-06-26
- [White House AI crackdown opens door for Chinese model makers to close gap](https://www.cnbc.com/2026/06/30/white-house-ai-china-crackdown.html) — CNBC, 2026-06-30
- [Palantir's Karp bashes token-based AI model as 'completely wrong'](https://www.cnbc.com/2026/07/01/palantir-karp-open-ai-anthropic-tokens.html) — CNBC, 2026-07-01