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

Economist

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
Clean data, estimate and produce tables.
Estimate

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

22%52%+11.4
Draft notes, briefs and a first paper.
Estimate

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

18%45%+8.1
Choose model, assumptions and robustness.
Estimate

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

16%22%+3.5
Present to a client, ministry or board.
Estimate

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

16%15%+2.4
Debate, peer-review and defend the numbers.
Estimate

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

14%12%+1.7
Read the political context and data quality.
Estimate

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

14%18%+2.5
Total100%30%

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

Skills and activities

  • Clean data, estimate and produce tables
  • Draft notes, briefs and a first paper
  • Choose model, assumptions and robustness
  • Present to a client, ministry or board
  • Debate, peer-review and defend the numbers
  • economista
  • economist

Sources for this job· O*NET 19-3011.00· ESCO/ISCO 2631

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