Have you ever done research? It's very difficult to construct your measurements in such a way that they measure what you want them to. So in just your quoted statement there are many sources of uncertainty.

* what's a typical job? How did Google resample their data to make it representative of the typical job?

* is this all jobs, or just work-related Gemini conversations that they've classified as such?

* what's the denominator here? How do they know how many tasks there are that weren't subject to conversation with Gemini?

* how reliable is their classification of conversations as work related or not?

Accurately measuring this is so complex that to present the conclusion in such a confident way is bordering on farcical.

I really don't see any conclusions which would be such a game changer and critical, that this information has to be perfect.

And its Version 1 and an ongoing project.

"In the workplace, we show that while AI adoption spans occupations covering just above 88% of US employment, penetration remains shallow and overwhelmingly collaborative in nature, with end-to-end task automation limited in scope. Outside of work, AI spans activities making up about 98% of Americans’ non-sleep time, with disproportionately high use in high-friction tasks such as engaging with government and professional service providers, likely delivering economic value that standard national accounts may miss. Globally, adoption scales with national wealth and has broad linguistic distribution, with English queries representing only around a third of volume."

It sounds reasonable enough and it contains nothing off.

For me its interesting to read that english is less dominant and thats def something i was very atuned when GPT-3 came out: I started to write english and my native language and mixing up words etc. The quality of understanding in my native language is sledomly good when a new product comes out but it was very good already when using GPT-3.

In comparision to this, i'm also aware of a research paper stating that programming in certain languages like spanish is worse.