Look at the source behind the headline.

Examines how AI changes work tasks and required skills; workers without specialist AI skills may also be affected.

Evidence scope

The verified abstract finds that AI changes the tasks and skills of the most exposed workers, even when they have no specialist AI skills. It uses multi-country job postings and is not a prediction for Türkiye.

Underlying data

Job postings covered by the publication; see the original methods section for the period.

Use / license

OECD terms · pre–July 2024

Use with attribution as a modified educational adaptation; this is not a translation of the full report and does not imply institutional endorsement.

Clerical and digitised tasks may be exposed; transformation is more likely than replacement of the whole job.

Evidence scope

This is a global task index using Polish classifications, worker and expert assessments, and ISCO-08 mapping. It does not measure observed job loss.

Underlying data

A 2025 task assessment and model output, not measured future job loss.

Use / license

CC BY 4.0

Use as a modified educational adaptation; it was not prepared, reviewed, or endorsed by the ILO and includes no third-party materials.

The evidence is interpreted around digital, problem-solving, creativity, and training; it does not guarantee a universal skill or job outcome.

Evidence scope

It draws on multi-country surveys with sector and sample limitations and is not an occupation forecast for Türkiye.

Underlying data

The latest underlying evidence is from late 2024; the publication is from 2026, but the data are not 2026 data.

Use / license

CC BY 4.0

Use as a changed short educational adaptation; it does not represent OECD views, and do not use OECD logos.

Global employer expectations for 2025–2030, from over 1,000 employers across 55 economies and 22 industry clusters. These are not observed outcomes or employment forecasts for Türkiye. Reading link only; report content and images are not republished.