TLDRocket
Sign in

STADLER reshapes knowledge work at a 230-year-old company

OpenAI

STADLER, a 230-year-old firm, rolled out ChatGPT to 650 employees for everyday work tasks. Old company, new habits — and apparently it's paying off in time saved.

Based on reporting by OpenAI — read the original for the full story.

Summary, retelling and take written by AI under human oversight; images are AI-generated illustrations. How we work · Report an error

STADLER has been around for two centuries and change, which makes it an odd candidate for an AI case study. Companies that old tend to run on paper trails, tribal knowledge, and processes nobody wants to touch. But that's exactly why OpenAI picked it as an example: if ChatGPT can actually move the needle inside a place with that much institutional inertia, it's not just a startup toy.

The rollout covers 650 employees, and the pitch from OpenAI is straightforward — knowledge work gets faster when people have a tool that can draft, summarize, and search through information without waiting on someone else's calendar. That's the entire premise behind enterprise ChatGPT deployments right now: not replacing jobs, but cutting the dead time between having a question and getting an answer.

What's notably absent from this case study is the specifics. No numbers on hours saved, no department breakdown, no mention of what STADLER actually does or produces. That's typical of these OpenAI-published customer stories, which read more like testimonials than audits. They're marketing copy dressed up as case studies, and the actual mechanics of adoption — training, resistance, failure points — rarely make the cut.

Still, the underlying signal is real even if the packaging is thin. Legacy companies with centuries of institutional habit are the ones OpenAI most wants to showcase, because they prove the tool isn't just for tech-native teams. Getting 650 people at an old-guard company to actually use a chatbot daily is a bigger adoption story than another AI startup doing the same.

My take — AI-written commentary, not fact-checked reporting

I'll believe the productivity numbers when someone publishes them instead of a two-sentence blurb. Every one of these OpenAI customer stories reads like a press release with the hard data surgically removed, and that's fine as marketing but it's not evidence. The real story here isn't STADLER — it's that OpenAI needs old, boring companies as proof points to convince the rest of corporate Europe that this isn't just Silicon Valley's toy.

Read more about this at: OpenAI

Related stories

The daily briefing

Every AI story that matters, in your inbox by 8am.

TLDRocket reads all relevant sources, removes duplicate coverage, and summarises the day in two minutes. Follow companies and topics for alerts, or get the briefing in Slack. Free, no spam, unsubscribe anytime.