IS WORK OVER?

Automation index

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

A series comes earlier. Attributing the change without selling the easy headline do not.

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

Task comparison

Climatologist

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
Series, homogenise and the gap.
Estimate

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

18%48%+8.6
Models, scenarios and the uncertainty.
Estimate

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

16%40%+6.4
Report, the headline and not selling the easy one.
Estimate

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

16%22%+3.5
Field, the station and the one that moves.
Estimate

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

16%28%+4.5
The politician, the figure and not staying quiet.
Estimate

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

18%14%+2.5
Attribute, and not selling the headline.
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

  • climate series
  • homogenise
  • scenarios
  • uncertainty
  • headlines
  • stations
  • climate reports
  • attribution

Sources for this job· O*NET 19-2021.00· ESCO/ISCO 2112

Facilities 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
CMMS, tickets and the PPM.
Estimate

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

16%40%+6.4
Roof, the chiller and the one that will not start.
Estimate

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

18%14%+2.5
Generator, the diesel and not leaving it dry.
Estimate

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

16%28%+4.5
Fire, the pump and the monthly test.
Estimate

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

16%22%+3.5
The tenant, August and not jumping to a yes.
Estimate

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

18%18%+3.2
That cooling does not die, and not leaving the generator dry.
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

  • CMMS
  • PPM
  • chillers
  • generators
  • diesel
  • fire pumps
  • roofs
  • tickets

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

Analyse my job

Jobs with similar scores

  1. 142Carpenter27%
  2. 143Category manager27%
  3. 144Research scientist27%
  4. 146Colourist27%
  5. 147Export salesperson27%
  6. 148Inside sales27%