IS WORK OVER?

Automation index

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

A fall set-out comes earlier. Leaving a pavement that does not pond do not.

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

Task comparison

Paver

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
Set-out, levels and layer thickness.
Estimate

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

16%32%+5.1
Lay, compact and the edge that opens.
Estimate

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

22%8%+1.8
Joints, seals and the gully junction.
Estimate

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

16%22%+3.5
Plant, mix temperature and the cold day.
Estimate

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

16%28%+4.5
Traffic, the closure and not leaving a step.
Estimate

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

16%18%+2.9
No ponding, and not skimping compaction.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • lay asphalt
  • compact
  • falls
  • pavement joints
  • gullies
  • mix temperature
  • pavement levels
  • seals

Sources for this job· O*NET 47-2071.00· ESCO/ISCO 7112

Health information 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 ICD, the discharge set and the episode.
Estimate

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

18%52%+9.4
Filing, scanning and the missing record.
Estimate

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

16%48%+7.7
Loans, copies and the judge who wants the file.
Estimate

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

16%28%+4.5
Documentation emergencies and the discharge that will not close.
Estimate

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

18%18%+3.2
Data quality, audits and billing.
Estimate

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

16%22%+3.5
Confidentiality and not losing the record.
Estimate

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

16%14%+2.2
Total100%31%

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

Skills and activities

  • code ICD-10
  • discharge dataset
  • file records
  • loan records
  • health documentation
  • scan reports
  • clinical data quality
  • confidentiality

Sources for this job· O*NET 29-2072.00· ESCO/ISCO 3252

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