8legs: Taub center for social policy studies

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AI is reshaping which Israeli workers are unemployed, not the total rate of unemployment.
The study shows the effect is strongest in hi-tech occupations that previously had low unemployment.
Young and junior workers are the first to pay the price as AI advances.
AI may drive a rebalancing of jobs via skill upgrades and new professions.
By 2025, 20–25% of unemployed workforces come from occupations at high AI risk.
The study links 해 structural factors and pandemic-era changes to the AI impact, not AI alone.
There is a potential for policy action to help workers transition to AI-adjacent roles.
Public service jobs may lag in adjustment due to policy and structural factors.
Overall unemployment remains stable even as the labor market shifts.
Israel’s teachers sector关注 remains under pressure with teacher shortages noted.

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AI reshapes which workers face unemployment in Israel, with the overall rate largely unchanged but the composition shifting toward younger, junior staff in exposed roles.
In high-risk occupations, AI exposure accounts for a notable share of unemployment growth, including 12–20% for software developers and 10–26% for sales roles between 2022 and 2025.
Competition for available roles has intensified as skilled unemployed workers surge, even where overall vacancies are stable.
Younger workers face the earliest and strongest impact from AI-enabled productivity boosts, while veteran staffers gain efficiency.
AI is one factor among structural shifts, contributing a modest share to overall unemployment changes compared with other forces.
Some sectors, notably public service and education, may adjust more slowly due to governance and policy dynamics rather than market forces.
Experienced workers could see higher productivity gains from AI, potentially reducing demand for beginners in some roles.
Israel’s manufacturing sector shows automation replacing some traditional jobs with robotics, reducing demand for routine labor.
Policy responses should focus on helping the newly unemployed and retraining for AI-enabled roles to reintegrate into the changing labor market.
The Taub Center study frames AI exposure as part of a broader context, including COVID-19 effects and the hi-tech sector slowdown, not a standalone shock.

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