IS WORK OVER?

Automation index

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

A deposit model comes earlier. Going down and not leaving an unsafe face does not.

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

Task comparison

Mining engineer

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
Model deposit, blast and rates.
Estimate

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

16%40%+6.4
Drawings, permits and mining plans.
Estimate

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

16%28%+4.5
Face, safety and ventilation.
Estimate

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

18%14%+2.5
Plant, contractors and output.
Estimate

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

16%22%+3.5
Restoration, waste and regulation.
Estimate

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

18%16%+2.9
Not leaving a miner below.
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

  • Model deposit, blast and rates
  • Drawings, permits and mining plans
  • Face, safety and ventilation
  • Plant, contractors and output
  • Restoration, waste and regulation
  • Not leaving a miner below
  • ingeniero de minas
  • mining engineer

Sources for this job· O*NET 17-2151.00· ESCO/ISCO 2146

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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