In late February 2026, Perplexity AI quietly published a blog post with a claim that should have set off alarms in every corporate office from London to Los Angeles. The company's new product, Computer for Enterprise, had been deployed internally as a Slack integration, with every employee in the same channel. After processing more than 16,000 queries in four weeks, the system had, by Perplexity's own estimation, completed the equivalent of 3.25 years of human work and saved the company $1.6 million in labour costs. The benchmarks used to measure this output came from institutions including McKinsey, Harvard, MIT, and Boston Consulting Group.
Let that settle for a moment. Not 3.25 years spread across thousands of workers performing marginal speed improvements. The claim is that a single AI platform, running cloud-based workflows across roughly 20 frontier models, replaced years of the kind of cognitive labour that knowledge workers perform every day: querying databases, compiling reports, synthesising research, drafting analyses. The tasks that fill the calendars of financial analysts, marketing strategists, management consultants, and corporate researchers everywhere.
Perplexity's CEO, Aravind Srinivas, framed the ambition with characteristic directness. “What we are going to try to do is help businesses run as autonomously as possible,” he said. On the question of AI displacing jobs, he offered a response that managed to be both provocative and revealing: “The reality is most people don't enjoy their jobs.” His suggestion was that displacement could free people to pursue entrepreneurship and more fulfilling work. It is, to put it mildly, an incomplete answer to a question affecting hundreds of millions of workers worldwide.
