Some People Are Definitely Losing Their Jobs Because of AI (the Ones Building it)

AI might be coming for our jobs, but capitalist pressures appear to be coming for the people responsible for developing AI. Wired reported over 200 people working on Google’s AI products, including its chatbot Gemini and the AI Overviews it displays in search results, were recently laid off—joining the ranks of unfortunate former employees of xAI and Meta, who have also been victims of “restructuring” as companies that poured billions of dollars into AI development are trying to figure out how to make that money back.

Per Wired, most of the people working on Google’s AI products were contractors rather than Google employees. Many worked at GlobalLogic, a software development company owned by Hitachi. According to the report, most of the GlobalLogic workers who got cut off from Google were working as raters, working to ensure the quality of AI responses. Most are based in the US, work with English-language content, and many have a master’s or a PhD in their field of expertise.

At least some workers hit by this layoff were told the cuts were the result of a “ramp-down” on the project, but at least a few workers seem skeptical of that reason. Some believe the cuts may be related to worker protests over pay and job security concerns, per Wired. The publication also reported that documents from GlobalLogic indicate the company may be using human raters to train a system that can automate the rating process, which would leave AI to moderate AI.

The folks tasked with tightening up Google’s AI outputs are far from the only ones in the industry getting squeezed. According to Business Insider, Elon Musk’s xAI recently laid off at least 500 workers who were tasked with doing data annotation. The layoffs appear to be a part of a shuffling of efforts within the company, which is moving away from “generalist” data annotators and ramping up its “specialists.” Given that Google just cut contractors who would likely fall under that “specialist” label, it probably feels a bit precarious out there.

It’s been a tough go for people who are actually handling the data that feeds AI tools. Shortly after Meta invested in data labeling firm Scale AI, the company cut 14% of its staff, including 200 full-timers and about 500 contractors. Meta itself is reportedly looking seriously at downsizing its AI department as it keeps shifting priorities and trying to figure out how to get a leg up in the AI race.

It’s also hard not to look at the layoffs of lower-level workers and contractors without thinking about the multi-million dollar job offers being thrown at AI specialists to secure their talents, but this tends to be how things go: the people doing the grunt work that must be done to keep the gears turning are considered replaceable while more and more money flows to the top to people who no one really knows what they do, but they make a lot of money so it must be important.