IS WORK OVER?

Automation index

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

A load curve comes earlier. Cutting the bill without leaving the process in the dark do not.

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

Task comparison

Energy 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
Energy audit, curves and the saving potential.
Estimate

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

18%48%+8.6
Contracts, tariffs and the power market.
Estimate

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

16%36%+5.8
Plant, meters and what the meter misses.
Estimate

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

16%22%+3.5
Efficiency projects and the real payback.
Estimate

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

16%28%+4.5
The board, the CAPEX and the no to the project.
Estimate

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

18%14%+2.5
Save for real, and not selling green smoke.
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

  • energy audit
  • load curves
  • power tariffs
  • energy efficiency
  • CAPEX payback
  • plant metering
  • power market
  • real savings

Sources for this job· O*NET 17-2199.00· ESCO/ISCO 2149

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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