How OpenAI is using AI internally
The one thing you need to know in AI today | AI Ready CMO
There’s something almost comical about the current state of AI news: OpenAI quietly published detailed case studies on how they actually use their own technology internally, and basically no one noticed. These dropped about a week ago with minimal fanfare. No press release storm, no business influencer threads, no keynote spotlight. Just a few blog posts tucked into their site (under the “API” tag, for whatever reason), while everyone was busy dissecting whatever Sam Altman tweeted that morning.
Which is a shame, because this is arguably the most valuable thing OpenAI has published for practitioners in months. Forget the benchmarks and the demos—this is the recipe book from the restaurant kitchen. How does the AI company run on AI? What actually works when the cameras are off and the quarterly targets are looming?
The GTM article says OpenAI’s sales team now exchanges 22 messages per week with their AI assistant. Not “tried it once and gave up” numbers—22 messages per week, per rep, so …



