IS WORK OVER?

Automation index

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

A delivery note and a route come earlier. Lifting a pallet and not dropping it do not.

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

Task comparison

Forklift operator

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
Notes, locations and picking routes.
Estimate

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

16%32%+5.1
Drive, lift and stack.
Estimate

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

24%8%+1.9
Loads, centres of gravity and aisles.
Estimate

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

16%12%+1.9
Shift, radio and dock.
Estimate

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

16%18%+2.9
Logs, incidents and counts.
Estimate

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

14%22%+3.1
Not hitting anyone or a pallet.
Estimate

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

14%14%+2
Total100%17%

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

Skills and activities

  • Notes, locations and picking routes
  • Drive, lift and stack
  • Loads, centres of gravity and aisles
  • Shift, radio and dock
  • Logs, incidents and counts
  • Not hitting anyone or a pallet
  • carretillero
  • carretilla
  • forklift

Sources for this job· O*NET 53-7051.00· ESCO/ISCO 8344

Clinical research associate

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
Protocol, CRF and the monitoring visit.
Estimate

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

18%48%+8.6
Source, the gap and the one that does not fit.
Estimate

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

16%40%+6.4
Adverse event, the deadline and not delaying.
Estimate

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

16%22%+3.5
Consent, the signature and the one who did not understand.
Estimate

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

16%28%+4.5
The sponsor, the audit and not dressing the figure.
Estimate

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

18%14%+2.5
Audit, and not leaving a made-up figure.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • CRF
  • monitoring
  • adverse events
  • informed consent
  • source data
  • trial audits
  • clinical protocols
  • site visits

Sources for this job· O*NET 11-9121.00· ESCO/ISCO 2131

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