IS WORK OVER?

Automation index

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

A pattern and a fabric order come earlier. Tensioning a sofa that sits well does not.

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

Task comparison

Upholsterer

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
Patterns, metres and fabric order.
Estimate

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

16%32%+5.1
Strip, fill and tension.
Estimate

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

22%10%+2.2
Sew, piped edges and finish.
Estimate

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

16%14%+2.2
Client, style and quote.
Estimate

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

16%22%+3.5
Shop, springs and foams.
Estimate

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

16%18%+2.9
Not delivering a seat that sags.
Estimate

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

14%14%+2
Total100%18%

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

Skills and activities

  • Patterns, metres and fabric order
  • Strip, fill and tension
  • Sew, piped edges and finish
  • Client, style and quote
  • Shop, springs and foams
  • Not delivering a seat that sags
  • tapicero
  • upholsterer

Sources for this job· O*NET 51-6093.00· ESCO/ISCO 7534

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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