IS WORK OVER?

Automation index

How much of a Mixer-truck driver’s job can AI already do?

A route and a slump come earlier. Arriving fresh and pouring without blocking the pump do not.

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

Task comparison

Mixer-truck driver

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
Order, mix and mixing time.
Estimate

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

16%36%+5.8
Drive, site and the tight access.
Estimate

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

22%10%+2.2
Pour, pump and the one who wants more water.
Estimate

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

16%22%+3.5
Wash, leftovers and not leaving a hard drum.
Estimate

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

16%28%+4.5
The jam, the delay and the concrete that sets.
Estimate

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

16%18%+2.9
Arrive fresh, and not adding extra water.
Estimate

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

14%12%+1.7
Total100%21%

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

Skills and activities

  • drive mixers
  • batch
  • pour concrete
  • wash the drum
  • slump
  • concrete pump
  • mix order
  • site access

Sources for this job· O*NET 53-3032.00· ESCO/ISCO 8332

Dosimetrist

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
CT, contours and the plan.
Estimate

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

16%40%+6.4
Organ at risk, the curve and not overshooting.
Estimate

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

18%14%+2.5
Physics, the check and the one that does not fit.
Estimate

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

16%28%+4.5
Fraction, the setup and the patient who is not the same.
Estimate

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

16%22%+3.5
The oncologist, the trade-off and not signing blind.
Estimate

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

18%18%+3.2
The tumour gets it, and the healthy organ does not.
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

  • dose plans
  • contours
  • organs at risk
  • dosimetry check
  • fractions
  • setup
  • sim CT
  • DVH curves

Sources for this job· O*NET 29-2036.00· ESCO/ISCO 3211

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