IS WORK OVER?

Automation index

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

An error code comes earlier. Diagnosing in someone else’s kitchen and leaving it washing do not.

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

Task comparison

Appliance technician

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
Code, history and the spare.
Estimate

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

16%40%+6.4
Strip, test and the built-in one.
Estimate

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

18%12%+2.2
Order the part, second visit and the client who is out.
Estimate

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

16%28%+4.5
Warranty, misuse and what it does not cover.
Estimate

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

16%22%+3.5
The tight kitchen and not marking the unit.
Estimate

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

18%18%+3.2
Leave it washing, and not swapping the board blind.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • diagnose appliances
  • error codes
  • strip built-ins
  • spares
  • warranty
  • second visit
  • test boards
  • service call

Sources for this job· O*NET 49-9031.00· ESCO/ISCO 7412

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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