Meta pushes AI into reviews

Meta’s AI push has moved past chatbots and coding helpers. It is now showing up in the way people get judged at work. Inside the company, employees are being pushed to use AI tools more often, show “AI-driven impact” in reviews, and in some cases accept new tracking of what happens on their computers. That would be tense anywhere. At Meta — already deep in cost cuts and reorganization — it lands as a direct signal that AI use is becoming part of the job itself. (indianexpress.com) ### What actually changed? The big shift is that Meta is no longer treating AI adoption as optional experimentation. Internal guidance tied employee performance more explicitly to whether workers use AI tools effectively and can show measurable impact from them. That turns AI from a nice-to-have productivity layer into something closer to a workplace expectation. ### What does “AI-driven impact” mean? Basically, Meta wants employees to show that AI helped them do more — faster output, better results, or improvements for their teams. (indianexpress.com) Reports on the internal memo say this applies broadly, not just to engineers. The company has also been rolling out tools like Metamate and an AI performance assistant to help workers draft reviews and document those outcomes. ### Why are employees upset? Because the ask is not just “please try this tool.” Turns out many workers see a moving target: use AI more, prove it helped, and do that while the company keeps changing how work is measured. (indianexpress.com) Some employees described the atmosphere as demoralizing, especially where AI adoption started to feel less like support and more like surveillance plus quota pressure. ### What is the monitoring fight about? (winbuzzer.com) One flashpoint was Meta telling U.S. employees that it would begin tracking detailed computer activity — things like typing, mouse movement, clicks, and screen activity — to gather data for AI training. That triggered a strong internal backlash. The reason is obvious: once software meant to “improve systems” starts capturing how you work, employees hear a second message — the company is watching. ### Why do layoffs matter here? (indianexpress.com) Because AI mandates feel very different when jobs are also on the line. Meta has been cutting roles while spending aggressively on AI, and one report said the company planned to slash 10% of its workforce. Even if management sees AI as a productivity multiplier, workers can easily read the package another way: learn the tools, raise output, and then compete against a higher bar with fewer people around. (dnyuz.com) ### Is Meta unusual here? Yes and no. Plenty of companies want employees to use AI. But Meta stands out because it appears to be formalizing that pressure inside performance reviews. That is a stronger move than cheerleading from the sidelines. Once reviews, bonuses, and promotion conversations absorb AI usage, the technology stops being a tool choice and starts becoming part of managerial control. ### What is the real stakes question? The real question is not whether AI can save time. (indianexpress.com) It obviously can. The question is who captures the gain. If AI lets one employee do the work of 1.2 people, workers hope for relief or leverage. Companies often see room for tighter targets. Meta looks like an early, very visible version of that fight. ### Bottom line? Meta is trying to become an AI-first company from the inside out. (winbuzzer.com) But the catch is that internal AI adoption is not landing as a simple upgrade. It is colliding with surveillance fears, review anxiety, and layoff pressure — which makes this feel less like empowerment and more like a new operating system for work. (indianexpress.com)