מסמך טכני מיומן המחקר · באנגלית, כפי שנכתב בשלב העבודה

Step 201: AI exposure of Israel's unemployed, by occupation of last job

Sources: CBS annual Labour Force Survey, table 5.3 (unemployed who worked in the past 12 months, by occupation of last job), editions 2017, 2018, 2021 and 2022; employed persons by occupation from ILOSTAT (national source CBS). Exposure: ILO 2025, unweighted mean of two-digit groups per major group; groups 7 and 8 combined as CBS publishes them. Archived in data/processed/israel_unemployed_occupation_v201.json (CI run 41983819513).

Relative risk = share of the unemployed in a group / share of the employed in that group.

Occupation group (most exposed first)ILO exposureRR 2017-18RR 2021-22
Clerical support workers0.5491.351.60
Professionals0.4000.620.60
Managers0.3620.820.74
Technicians and associate professionals0.3510.971.01
Service and sales workers0.2381.341.28
Skilled trades and operators (7-8)0.1980.971.17
Elementary occupations0.1521.681.64

Reading:

  1. The unemployed were slightly less exposed to AI than the employed in both periods (exposure gap -0.016 and -0.014), because professionals are under-represented among the unemployed.
  2. Clerical support workers, the most exposed group, were already over-represented among the unemployed, and more so in 2021-22 (RR 1.35 to 1.60). The slope of the change in log RR on exposure is +0.17, driven mostly by this group; with seven groups it is not a test.
  3. All four years precede the public release of generative AI tools (late 2022). A rise in the clerical share of unemployment after 2023 would therefore not by itself show an AI effect: the trend started earlier. The post-AI comparison needs the 2023 and later editions of table 5.3, whose publication folders could not be located automatically.

Limits: the unemployed without a known last occupation are excluded; CBS suppresses small cells (group 6 is dropped); 2021 follows the COVID shock; descriptive only, no causal claim.

Update: the 2023 and 2024 editions were found later; see step 204.

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