IS WORK OVER?

Automation index

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

A wheel comes earlier. Centring, pulling and surviving the kiln do not.

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

Task comparison

Potter

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
Clay, wheel and centring.
Estimate

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

16%32%+5.1
Pull, turn and the one that collapses.
Estimate

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

22%8%+1.8
Dry, glaze and the kiln.
Estimate

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

16%22%+3.5
Order, the set and the colour that misses.
Estimate

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

16%28%+4.5
The market, the piece and not opening too wide.
Estimate

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

16%18%+2.9
Survive the kiln, and not leaving a fat foot.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • wheel
  • centre clay
  • pull pieces
  • glaze
  • kiln
  • drying
  • tableware sets
  • the foot

Sources for this job· O*NET 51-9195.00· ESCO/ISCO 7314

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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