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As AI continues to reshape how work gets done and by whom, this HBS Working Knowledge piece shares insights on where it is already shifting job demand, including which roles employers are posting for and the skills they now expect. Using U.S. job-posting data from 2019 through March 2025, the research team used ChatGPT to categorize 19,000+ job tasks across 900+ occupations and created an “augmentation score” based on each occupation’s mix of AI-exposed vs. unexposed tasks. The analysis finds that postings fell 13% for occupations dominated by structured, repetitive tasks after ChatGPT’s November 2022 launch, while postings rose 20% for jobs requiring more analytical, technical, or creative work. The main reason I’m sharing this article is that it includes an interactive tool that lets you quickly gauge how vulnerable a job is to AI replacement vs. augmentation. Use the dropdown filters to search by job category or keyword, then click to see where specific occupations land on the augmentation vs. automation spectrum without having to sift through dense tables. The tool provides insights that are useful for workforce planning and talent strategy.
