What kinds of knowledge will save you from AI?

For some professions, “AI is coming for our jobs” is no longer a vague threat about future events. Timothy Mc Keon, who spent years translating to and from Irish for the European Union, knows this better than most. As machine translation has improved, the ability to produce a text that is “good enough” has taken a huge bite out of his livelihood – costing him roughly 70% of his income as his EU work dried up. “The more it learns, the more obsolete you become,” he told CNN. And Mc Keon is not an outlier. 43% of translators have seen their incomes drop thanks to the increasing presence of AI alternatives in the marketplace. What is happening to translators is an early sign of an evolution that is now underway across the knowledge economy. For decades, much of the value produced by white-collar work rested on a straightforward proposition: you knew things or could find things or assemble things that most people could not, and others were willing to pay to gain the benefits of that knowledge. AI is collapsing the value of a broad swath of this market. In an increasing number of fields, a chatbot can now deliver in seconds work that is close to, or in some cases better than, that of an average professional. The bulk of the knowledge economy, the broad base of competent-but-unremarkable cognitive work, is being priced downward toward zero. It is tempting to think that the threat stops at the door of the merely average – that deep, specialized expertise is safe in a way that ordinary competence is not. That is only half right. The useful question is no longer whether AI will reshape knowledge work; it plainly will. It is which kinds of knowing hold their value when the machine can do so much. {"blockType":"mv-promo-block","data":{"imageDesktopUrl":"https:\/\/images.fastcompany.com\/image\/upload\/f_webp,q_auto,c_fit\/wp-cms-2\/2025\/10\/creator-faisalhoque.png","imageMobileUrl":"https:\/\/images.fastcompany.com\/image\/upload\/f_webp,q_auto,c_fit\/wp-cms-2\/2025\/10\/faisal-