A field guide to AI positions

Automation, job tasks & exposure

Publication dates and source age

Sources counted: 1

Newest dated source: 2025-05-20

At least one source was published within the 18-month window.

Assessed at this edition's evidence cutoff: 2026-09-15. 18-month boundary: 2025-03-15.

Publication age does not tell us whether a claim is still valid. Reading an old source again does not make its publication date newer. An update date does not establish that the passage we used was updated.

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In plain language

Software can take over parts of a job; a task being automatable does not mean the whole job disappears. [1]

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Limits & distinctions

Exposure estimates are not observed job losses. Costs, infrastructure, skills and decisions about adoption affect the outcome. [1]

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A fuller explanation

The ILO's 2025 analysis estimates which job tasks could be affected by generative AI. Its exposure categories describe potential changes, with many occupations combining affected tasks and tasks requiring human input. [1]

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How it relates to the map

Workplace effects are another dimension of the debate, beyond catastrophic risk and the pace of frontier research. [1]

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https://theaiatlas.org/ideas/automation/

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Sources and what we read

  1. 1. How might generative AI impact different occupations?

    Publication dates and source age

    Sources counted: 1

    Newest dated source: 2025-05-20

    At least one source was published within the 18-month window.

    Assessed at this edition's evidence cutoff: 2026-09-15. 18-month boundary: 2025-03-15.

    Publication age does not tell us whether a claim is still valid. Reading an old source again does not make its publication date newer. An update date does not establish that the passage we used was updated.

    Read the task-based method, exposure categories, employment interpretation and adoption limitations. Estimates describe potential exposure, not observed job losses or a prediction about an individual worker.

Edition and machine-readable evidence

Content version 0.20.0. Evidence cutoff 2026-09-15; this does not mean every source was read on that day.

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