If you follow the ongoing debate over AI's growing economic impact, you may have seen the below graphic floating around this month. The graphic comes from an Anthropic report on the labor market impacts of AI and is meant to compare the current "observed exposure" of occupations to LLMs (in red) to the "theoretical capability" of those same LLMs (in blue) across 22 different job categories.
While the current "observed exposure" area is interesting in its own right, it's the blue "theoretical capability" that jumped out at us. At a glance, the graph implies that LLM-based systems could perform at least 80 percent of the individual "job tasks" across a shockingly wide range of human occupations, at least theoretically. It looks as if Anthropic is predicting that, eventually, LLMs will be able to do the vast majority of jobs in broad categories ranging from "Arts & Media" and "Office & Admin" to "Legal, Business & Finance," and even "Management."
That "theoretical AI coverage" area seems like it's destined to eat a huge swath of the US job market! Credit: Anthropic
Digging into the basis for those "theoretical capability" numbers, though, provides a much less chilling image of AI's future occupational impacts. When you drill down into it, that blue field represents some outdated and heavily speculative educated guesses about where AI is likely to improve human productivity, and not necessarily where it will take over for humans altogether.
source https://arstechnica.com/ai/2026/03/how-did-anthropic-measure-ais-theoretical-capabilities-in-the-job-market/