IS WORK OVER?

Automation index

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

A payroll run and a contract template come earlier. Advocacy in labour court and an ERE do not.

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

Task comparison

Labour consultant

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
Payroll, social security and standard contracts.
Estimate

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

18%48%+8.6
Draft filings, appeals and settlements.
Estimate

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

16%40%+6.4
Conciliation, hearing and labour inspectorate visits.
Estimate

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

16%22%+3.5
Advise on dismissals, working time and collective agreements.
Estimate

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

16%28%+4.5
Day-to-day service to company and worker.
Estimate

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

18%18%+3.2
Deadlines, records and the firm’s liability.
Estimate

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

16%14%+2.2
Total100%28%

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

Skills and activities

  • Draft filings, appeals and settlements
  • Day-to-day service to company and worker
  • graduado social
  • asesor laboral
  • labour consultant

Sources for this job· O*NET 13-1071.00· ESCO/ISCO 2423

Data architect

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
Models, lineage and the catalogue.
Estimate

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

18%52%+9.4
Pipelines, quality and the data contract.
Estimate

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

16%40%+6.4
The analyst who finds nothing and the mess.
Estimate

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

16%22%+3.5
Privacy, retention and the field you cannot keep.
Estimate

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

16%28%+4.5
The business, shadow IT and not building another lake.
Estimate

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

18%14%+2.5
That it gets used, and not letting raw data rot.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • model data
  • lineage
  • data catalogue
  • data contracts
  • pipeline quality
  • retention
  • data lakes
  • privacy

Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511

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