MediaNama’s Take: The NBER–OpenAI study highlights the sheer scale of ChatGPT adoption. By mid-2025, nearly 10% of the global adult population was using the chatbot, with non-work interactions growing to over 70%. Yet this rapid expansion also exposes deep structural risks. As usage tilts towards informal, personal exchanges, the model’s sycophantic tendencies become more dangerous. In professional contexts, outputs are more likely to be checked; in personal ones, blind validation can entrench biases, encourage unsafe behaviour, or reinforce misinformation.
Adoption is rising fastest in low- and middle-income countries, but weak regulatory scrutiny and accountability make the risks greater. In these markets, large-scale reliance on AI for information and guidance often grows without parallel investment in safeguards. The result is a system optimised for engagement, not accuracy, leaving vulnerable populations more exposed to distortion.
OpenAI has admitted that guardrails degrade over long interactions, a failure underscored by the Adam Raine case, where ChatGPT allegedly reinforced a teenager’s suicidal thoughts. As non-work use climbs into the billions of daily messages, the failure of these protections cannot be treated as incidental. Unless developers prioritise reliability over reassurance, ChatGPT risks becoming less a decision-support tool and more a persuasive digital yes-man, engaging, but ultimately misleading.
Furthermore, ChatGPT’s lower usage rates for work and a 4.2% usage for coding highlight that Large Language Models are still not completely viable in directly doing professional or paid tasks. A Massachusetts Institute of Technology (MIT) Study also found that 95% of enterprise AI pilot adoptions failed at the pilot stage.
What’s the news?
On September 15, 2025, OpenAI said in a blog post that it had released a new working paper titled “How People Use ChatGPT“. The paper, written in collaboration with the National Bureau of Economic Research(NBER), documents how people are using the chatbot. By July 2025, around 10% of the global adult population had adopted ChatGPT and sent 18 billion messages each week, the study notes.
Furthermore, the paper provides new insights into consumer usage patterns. For instance, researchers found that non-work-related messages have grown faster and now account for more than 70% of all consumer ChatGPT messages. A major aspect of the study’s methodology involves a privacy-preserving automated pipeline, which classified usage patterns from a representative sample of conversations without any human reading the messages.
The analysis was performed on de-identified and personally identifiable information (PII)-scrubbed message data using automated classifiers. Additionally, the paper also states that the most common conversation topics are “Practical Guidance”, “Seeking Information”, and “Writing”, which together account for nearly 80% of all…
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