I am reading the Harvard Business Review "How People Are Really Using Gen AI in 2025" by Marc Zao-Sanders and looking for its use as a translation tool.

#Languagetranslation has seen a significant drop in ranking, falling from 18th place last year to 75th. Despite its high usefulness score of 9, which indicates that users find it valuable, the reach score is only 5, suggesting that fewer people are actively engaging with or discussing this use case compared to others. Its classification under "Technical Assistance & Troubleshooting" reflects a narrow scope of use.

This decline in position can be caused by a variety of factors. One of them maybe that it's still hard to fully trust for anything complex or high-stakes, even though it's rated very useful. Maybe it only gets used in quick, casual settings, which do not make for groundbreaking use cases.

It could also be the quiet success problem. Maybe it just works quietly and reliably. And because it doesn’t lead to big dramatic stories, it doesn’t dominate Reddit threads anymore. Maybe.

Fun fact: if you a translator, be nice to your co-workers! Look at one of the reasons why people prefer ChatGPT: because of Nate the "irritating to deal with" translator.