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AI changes work before it changes employment

Transformation begins with meaning, recognition, autonomy and the value of expertise — long before a job disappears.

The future is already unevenly distributed

When AI approaches the heart of a profession — searching, creating, judging or being recognised for expertise — its occupational effect cannot be reduced to productivity. It affects identity, meaning and each person’s place in the collective.

Obsolescence anxiety, loss of recognition, dispossession, value conflicts and reduced autonomy can appear before any job is removed.

Make time for appropriation

Technology can change an activity faster than workers and collectives can rebuild its rules. Organisations must create time for discussion, preserve know-how and recognise new forms of contribution.

A durable transformation does not merely ask people to keep pace with the model. It evolves targets, roles and quality criteria with them.

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Why it matters

Waiting for employment statistics means overlooking occupational and health transformations already under way.

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Source

LinkedIn — Charles Broutin

Open the source Originally published on LinkedIn