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

Nursing assistant

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
Answer patient call signals, signal lights, bells, or intercom systems to determine patients' needs.
Estimate

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

7%12%+0.8
Turn or reposition bedridden patients.
Estimate

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

6%12%+0.7
Provide physical support to assist patients to perform daily living activities, such as getting out of bed, bathing, dressing, using the toilet, standing, walking, or exercising.
Estimate

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

5%12%+0.6
Communicate with patients to ascertain feelings or need for assistance or social and emotional support.
Estimate

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

4%12%+0.5
Feed patients or assist patients to eat or drink.
Estimate

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

4%12%+0.5
Measure and record food and liquid intake or urinary and fecal output, reporting changes to medical or nursing staff.
Estimate

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

4%12%+0.5
Supply, collect, or empty bedpans.
Estimate

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

4%28%+1.1
Lift or assist others to lift patients to move them on or off beds, examination tables, surgical tables, or stretchers.
Estimate

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

4%12%+0.5
Other less frequent tasks (weight estimated from frequency).
Estimate

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

62%28%+17.4
Total100%23%

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

Skills and activities

  • care for patients
  • diagnose
  • nursing care
  • clinical notes
  • design interfaces
  • prototypes
  • figma
  • hygiene in a health care setting
  • health care legislation
  • disability care

Sources for this job· O*NET 31-1131.00· ESCO/ISCO 5321

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