AI is being used as a collaborator rather than an automation tool across millions of workplace interactions, a Google study of its own platforms found.
A Google study of millions of de-identified interactions with its AI tools found the technology is mainly used as a collaborative aid by workers — including electricians and mechanics — rather than to automate jobs.
"Just because you're using AI doesn't mean it's going to automate your job," Scott Strand, an economist at Google and one of the researchers, said.
The report, released Thursday, analyzed millions of interactions with Google's AI platforms globally. Within the US, AI use spanned a wide range of occupations. Skilled blue-collar workers — electricians, auto mechanics — used AI as a hands-on collaborator, uploading images and videos to solve problems far more frequently than their white-collar counterparts. Still, the researchers characterized overall AI use as "shallow" — most workers only used AI for a small slice of their tasks.
The findings contrast with dire warnings about AI-driven job losses and come as public backlash intensifies over data center buildouts and corporate layoffs tied to automation. If the collaborative pattern holds, demand for highly skilled workers could be accentuated rather than diminished, the researchers said.
The study draws a distinction between automation — like self-checkout machines that eliminate cashier roles — and collaborative technologies that leverage worker expertise. AI, in this framing, functions more like a laser level helping a surveyor measure accurately than a replacement for the surveyor. That difference carries significant economic implications. Automation can put people out of work, but collaborative tools make skilled workers more valuable.
The researchers found this pattern especially pronounced in "non-routine cognitive tasks" where judgment is required and a standardized approach will not deliver results. A photographer might use AI to enhance an image, for example, but cannot set it on repeat because every picture is different. The report also found people turning to AI for drudge work at home — government paperwork, household budgets, home repairs — in ways unlikely to show up in standard economic statistics such as gross domestic product.
Google operates Gemini, one of the world's most popular AI platforms. The stakes for parent Alphabet are high as criticism of AI mounts. Some large corporations that have laid off employees in the past year have cited AI as a reason for downsizing, even as the US unemployment rate remains relatively low. Economists remain split on whether the technology will ultimately eliminate jobs or simply boost productivity.
The research opens a new pipeline of inquiry, according to Google chief economist Fabien Curto Millet. "It's the start of a whole research pipeline from us," he said.
Questions the study does not address include whether seasoned workers getting more done with AI could reduce entry-level hiring. How AI is used in the workplace could also shift as the technology develops, potentially leading it to automate more tasks rather than enhance them.
Alphabet shares, trading at roughly 22 times forward earnings, have benefited from the narrative that AI augments rather than replaces labor, reducing near-term regulatory risk. The report could reinforce that view, though the study's own caveats — shallow adoption, unanswered questions about hiring — suggest the full labor impact remains years from resolution. Competitors including Microsoft and Meta Platforms, which have also pushed AI tools into the workplace, face similar scrutiny over whether their platforms create or destroy jobs.
This article is for informational purposes only and does not constitute investment advice.