OpenAI doesn't lack customers. It lacks delivery capacity.

你刚刷到这条消息，本来准备顺手划走，但又怕自己错过了真正会影响下一步判断的那一点。

最容易做错的，是Introducing the OpenAI Partner Network；代价往往是如果只盯表面热闹，你很容易在错误方向上花掉时间、预算和注意力。；我先给一个保守判断：OpenAI缺的不是客户，是交付产能。。

My read on Introducing the OpenAI Partner Network: OpenAI doesn't lack customers. It lacks delivery capacity. If you only watch the headline, you can burn time, budget, and attention in the wrong direction.

Most people will file this as a channel move, basically more partners to sell more AI work. I think that is too shallow. A launch is worth your time only if it changes your next decision. OpenAI tied this to a $150 million investment and a goal of training 300,000 certified consultants by the end of 2026 [S001].

The more important line is what OpenAI says the bottleneck now is: not raw model capability, but picking use cases, redesigning 工作流程（工作流程（workflow）s）, integrating existing systems, and driving adoption [S001]. In plain English, the hard part is no longer making the model smarter. It is getting the company to change how work actually gets done.

Then came the stronger tell: a separate Deployment Company with about 150 forward-deployed engineers and specialists whose job is to help systems go live, plus more than $4 billion in initial investment [S003]. That does not read like classic distribution. It reads like a company building a production line for implementation.

One update is worth your time only if it changes your next decision. Mine is simple: pay less attention to launch-day 演示（demo）s, and more attention to evaluation, integration, and adoption. Boundary: this read is based on OpenAI's June 2026 announcement pages, not customer rollout data. Share this with the person who still thinks enterprise AI is mainly a model-selection problem.

真正该讨论的是：Introducing the OpenAI Partner Network