Taub Center Examines AI's Effects on Employment

The Taub Center for Social Policy Studies published a study mapping AI exposure and employment trends across the Israeli labor market, with authors Michael Debowy, Prof. Gil S. Epstein, and Prof. Avi Weiss (Taub Center). The report documents that high-tech employment grew by about 60% (approximately 150,000 workers) between 2014 and 2023, and that average wages in technological and support roles exceeded the national average over that period (Taub Center). The study finds that, since the outbreak of the war, unemployment rates in high-tech services rose above the national average and that the share of job vacancies in technological professions dropped in 2024 compared with other occupations (Taub Center). Reporting in The Jerusalem Post summarizes the study's estimate that AI exposure explains about a fifth of the increase in programmer unemployment between 2022 and 2025, with the effect intensifying from the second half of 2024 (The Jerusalem Post). The Post includes a direct quote from Prof. Gil S. Epstein, head of the labor market policy program at the Taub Center: "The era of hi-tech workers' immunity is over. Our data shows that AI is ripping the cards. It explains about a fifth of the increase in programmer unemployment and locks the door mainly on young people. While veteran staffers become more efficient with the help of the machine, the 'juniors' are the first to pay the price." (The Jerusalem Post).

Editorial analysis - technical context: The Taub Center study measures occupational exposure to AI as a driver of changing unemployment composition rather than as a single automation shock that eliminates a fixed share of jobs. That framing aligns with recent academic work which estimates exposure by mapping task content and AI-capability overlap, then attributing portions of observed unemployment shifts to that exposure. For practitioners, this means observed effects will concentrate where task automation accuracy and adoption are already high-programming-adjacent tools, routine legal and bookkeeping tasks, and certain sales and clerical processes-rather than being evenly distributed across occupations.

The Taub Center report highlights entrenched demographic and geographic gaps in high-tech employment: about 25% of non-Haredi Jewish men are employed in high-tech and technological occupations versus about 12% of non-Haredi Jewish women; employment among Haredim is under 10% and among Arabs under 5% (Taub Center). Geographically, the Tel Aviv area remains the leader in high-tech employment, while many peripheral districts saw declines in 2023-2024 (Taub Center). The study's finding that AI explains a measurable fraction of rising programmer unemployment, concentrated among younger and junior staff, provides an early empirical example of displacement by diffusion and task reallocation rather than immediate mass unemployment.

Editorial analysis: Observers should follow vacancy and hiring rates by experience level within tech occupations, segmentation of task automation across legal/bookkeeping/clerical roles, and whether vacancy declines for junior roles persist or reverse. Researchers and HR teams will also want to track upskilling activity and measurable changes in on-the-job task composition to separate AI-driven displacement from cyclical or country-specific shocks such as wartime economic effects.