Certain white-collar jobs are heavily over-represented in the Gemini usage data.
Google Research
The researchers also attempted to measure how deeply AI was being integrated into various jobs, looking at how often individual, granular O*NET work tasks were attempted using Gemini. Across that entire database, the ATLAS researchers only classified 21 percent of all work-related tasks as “Gemini tasks”—those that met a minimum threshold of 25 related interactions attempted in the massive sample.
For many occupations (29%), not a single relevant work task achieved this “non-negligible” Gemini usage threshold, suggesting those jobs have been minimally impacted by the AI revolution so far. For another 30 percent of all occupations, less than one-quarter of tracked tasks saw significant related Gemini usage, suggesting humans were still the ones responsible for the vast majority of the component parts of those jobs.
In only 3 percent of occupations was Gemini being regularly consulted for at least three-quarters of that job’s relevant tasks. Jobs like software quality assurance analysts and testers, human resources specialists, and document management specialists fell into this bucket and are seemingly the most impacted by AI use in the study.
