Ex-Meta PM says AI is dividing humans, under-performers have zero worth
India Today
Former Meta product manager Xiaoyin Qu says AI is rapidly dividing professionals into two groups, those who master AI tools and those who fail to adapt. She warned that workers who perform below what AI can do may increasingly be seen as having zero value in the workplace.
AI may be transforming the way people work, but a former Meta product manager says it is also rapidly dividing professionals into two groups, those who know how to use the technology effectively and those who do not. Xiaoyin Qu, who earlier worked as a product manager at Meta and now runs startup SkillBoss, wrote in a post on X that she has been witnessing a clear gap emerge among people with similar backgrounds and qualifications as AI tools become more common in workplaces.
“The scariest thing about AI in 2026 isn't some sci-fi scenario,” Qu wrote. “It's watching people you know — people with the same credentials, the same caliber — split into two completely different groups in a matter of months.”
According to Qu, the change has become visible among professionals who previously appeared to be operating at roughly the same level. She cited examples of Stanford graduates, former Meta engineers and startup founders who had comparable experience just a few months ago but now seem to be progressing very differently.
“I've seen it happen firsthand. Stanford grads, ex-Meta engineers, startup founders. Three months ago, they were all roughly at the same level. Now? The divergence is so obvious it's uncomfortable,” she wrote.
Qu said some professionals have begun integrating artificial intelligence deeply into their work. Instead of using AI tools occasionally, they rely on them for research, coding, writing and automating large parts of their workflow.
“Some of them got really good at AI. Not just ‘using ChatGPT’ good, fundamentally different in how they think, work, and produce. Their output is compounding. Their depth of insight is compounding. They look like they're playing a different game entirely,” she said. At the same time, Qu believes most people are still using AI in a limited way.
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