IS WORK OVER?

Automation index

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

Pulling a dataset and a first chart is instant. Deciding which model holds, and explaining it to a ministry, is not.

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

Task comparison

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

Hearing aid 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
Audiometry, thresholds and the fitting.
Estimate

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

16%40%+6.4
Take the mould, trial and the one who hates the whistle.
Estimate

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

18%18%+3.2
Program, verify and retune the aid.
Estimate

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

16%32%+5.1
Repair, batteries and aftercare.
Estimate

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

16%28%+4.5
Explain, family and the stigma of the device.
Estimate

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

18%14%+2.5
That they actually hear, and not taking the aid back.
Estimate

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

16%12%+1.9
Total100%24%

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

Skills and activities

  • fit hearing aids
  • take earmoulds
  • audiometry
  • program aids
  • verify gain
  • repair aids
  • hearing thresholds
  • aftercare

Sources for this job· O*NET 29-2092.00· ESCO/ISCO 3214

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