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

Talent scout

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
Match, notes and the report.
Estimate

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

18%48%+8.6
See them live, the setting and the one who hides.
Estimate

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

16%40%+6.4
Data, GPS and not trusting the clip alone.
Estimate

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

16%22%+3.5
Network, agents and the one already promised.
Estimate

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

16%28%+4.5
The club, the rush and not inflating the average.
Estimate

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

18%14%+2.5
See the player, and not falling for the goal.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • scout reports
  • see live
  • player GPS
  • agents
  • scout network
  • data
  • clips
  • the player’s setting

Sources for this job· O*NET 27-2022.00· ESCO/ISCO 3422

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