
ChatGPT has long arrived in many companies, but the benefit is distributed very unevenly. For some the tool saves real time, for others it mainly creates rework. The difference lies not in the model but in how it is used.
Does ChatGPT really boost productivity?
It depends. Generic chatbots shine for the individual user because they are flexible. In the company the benefit often stalls because they do not adapt to fixed workflows. A widely cited 2025 MIT study found that around 95 percent of enterprise AI pilots deliver no measurable effect on the bottom line. Productivity comes not from access to the tool but from embedding it in a clear use case.
What is workslop and how do I avoid it?
The biggest danger of careless use is called workslop: AI-generated content that looks usable but has so little substance that the recipient has to rework it. In a survey of around 1,150 employees, 40 percent said they had received such workslop in the past month. Each instance took on average almost two hours to sort out, roughly 186 dollars per employee per month. The only way to avoid it is for a human to check the result before passing it on. Whoever sends unchecked AI text shifts work instead of doing it.

What is ChatGPT best suited for at work?
Best for clearly defined, recurring tasks with a human final check: structuring drafts, summarizing texts, preparing routine correspondence or sorting ideas. The simple rule: ChatGPT delivers the first draft, the human owns the result. This turns the tool into an accelerator instead of a source of new rework.

Further reading
These articles help with the next decision.
- Understanding AI Agents: Practical Insights
- Why AI Understanding Often Fails in SMEs
- AI-Driven Lead Generation for SMEs
Does ChatGPT boost productivity?
Only with clear embedding in a use case. Around 95 percent of enterprise AI pilots deliver no measurable effect, because access alone creates no benefit.
What is workslop?
AI-generated content that looks usable but has to be reworked. 40 percent of employees received such output in the past month, at a cost of around 186 dollars per person per month.
How do I avoid workslop with ChatGPT?
By having a human check every result before passing it on. ChatGPT delivers the draft, the human owns the result.
What is ChatGPT best suited for?
Clearly defined, recurring tasks with a human final check: structuring drafts, summarizing, preparing routine correspondence.