IS WORK OVER?

Automation index

How much of a Watchmaker’s job can AI already do?

A diagnosis and a spare come earlier. Opening the movement so it keeps time again do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Watchmaker

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Diagnose, quote and explain to the client.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Open, strip, clean and oil the movement.
Estimate

No public source provides a precise figure. This is our estimate.

22%8%+1.8
Spares, rate adjustment and calibration.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Cases, straps, water resistance and polish.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
The counter, commissions and pieces that do not come back.
Estimate

No public source provides a precise figure. This is our estimate.

16%36%+5.8
Times, real spares and a watch that keeps time.
Estimate

No public source provides a precise figure. This is our estimate.

14%12%+1.7
Total100%22%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • repair watches
  • open movements
  • oil calibres
  • adjust rate
  • change straps
  • water-resistance test
  • diagnose watches
  • polish cases

Sources for this job· O*NET 51-9071.00· ESCO/ISCO 7311

Data engineer

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Design pipelines, models and orchestration.
Estimate

No public source provides a precise figure. This is our estimate.

24%50%+12
Write SQL, Spark and data tests.
Estimate

No public source provides a precise figure. This is our estimate.

18%45%+8.1
Incidents, quality and lineage in production.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Talk to analysts and negotiate data contracts.
Estimate

No public source provides a precise figure. This is our estimate.

16%18%+2.9
Cloud cost, permissions and PII.
Estimate

No public source provides a precise figure. This is our estimate.

14%15%+2.1
Decide architecture and technical debt.
Estimate

No public source provides a precise figure. This is our estimate.

12%20%+2.4
Total100%31%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • Design pipelines, models and orchestration
  • Write SQL, Spark and data tests
  • Cloud cost, permissions and PII
  • Decide architecture and technical debt
  • ingeniero de datos
  • data engineer
  • etl

Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511

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