AI Job Loss Risk: 784 Occupations Ranked

A new study reveals a direct connection between roles poised for significant AI-driven productivity gains and those facing the highest projected displacement. Research from Tufts University’s Fletcher School indicates that the very jobs where artificial intelligence can most enhance individual output are also the most vulnerable to workforce reductions, as companies may achieve the same results with fewer people.

The American AI Jobs Risk Index provides a detailed assessment, ranking 784 distinct occupations, 530 metropolitan areas, all 50 states, and 20 major industry sectors by their susceptibility to AI-related job loss. These figures represent model projections under various adoption scenarios, not current employment data. In a median scenario, an estimated 9.3 million jobs are considered at risk, with projections ranging from 2.7 million to 19.5 million depending on the pace of technological integration.

Occupations involving language-intensive and structured cognitive tasks lead the vulnerability rankings. Writers and authors face the highest projected risk at 57%, closely followed by computer programmers and web designers at 55% each. Editors are projected at 54% risk, with web developers at 46%. Other knowledge-sector roles like market research analysts, marketing specialists, and public relations specialists show significant vulnerability, between 35% and 37%. This analysis moves beyond measuring simple AI exposure, instead estimating the likelihood that such exposure translates into actual workforce reductions.

This phenomenon is described by researchers as the augmentation-displacement link. In fields like writing, programming, and data analysis, AI tools dramatically boost per-worker efficiency. The consequence is that firms can maintain or increase output while potentially reducing headcount, often by curtailing hiring for entry-level positions rather than conducting immediate layoffs. The structured nature of work in these fields makes them particularly amenable to management by advanced large language models.

The impact varies considerably across economic sectors. While the average industry vulnerability sits near 6%, some face much steeper challenges. The Information sector shows the highest projected job loss at 18%, with Finance and Insurance and Professional Services each at 16%. In terms of total economic value, roles like Software Developers, Management Analysts, and Market Research Analysts account for a disproportionate share of the projected $757 billion in annual income considered at risk, due to their combination of high salaries and large workforce numbers.

It is critical to understand the study’s scope. This initial index focuses on displacement and does not yet model AI-driven job creation, which the authors plan to incorporate in future updates. The projections also do not account for potential mitigating factors like regulatory barriers, strong union contracts, or occupational licensing requirements that could slow adoption and job loss in certain fields. The figures are scenario-based estimates, not definitive predictions.

The data confronts a persistent assumption among many professionals that leveraging AI for personal productivity ensures job security. The analysis suggests that individual efficiency gains may not protect roles if they enable broader workforce consolidation. This quantifies a tension experts have highlighted, putting concrete numbers on the building pressure within specific career paths.

The index is designed as a living tool. The researchers at Digital Planet intend to update it regularly as AI capabilities advance and labor market conditions shift. Future versions aim to provide a more balanced perspective by incorporating job creation estimates alongside displacement risks. The complete methodology and underlying data are available for public review, offering a resource for policymakers, business leaders, and workers navigating this economic transition.