IS WORK OVER?

Automation index

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

An ATEX protocol comes earlier. Working with H2 without leaving a leak do not.

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

Task comparison

Hydrogen technician

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
ATEX, purge and the log.
Estimate

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

16%32%+5.1
Electrolyser, the stack and the one that drops.
Estimate

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

22%8%+1.8
Leak, detector and stopping.
Estimate

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

16%22%+3.5
Charge, the tube and not mixing with air.
Estimate

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

16%28%+4.5
The client, the station and not skipping the purge.
Estimate

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

16%18%+2.9
No leak, and the protocol done.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • ATEX
  • purge
  • electrolyser
  • H2 detectors
  • stacks
  • hydrogen stations
  • leaks
  • mix with air

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

Data architect

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
Models, lineage and the catalogue.
Estimate

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

18%52%+9.4
Pipelines, quality and the data contract.
Estimate

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

16%40%+6.4
The analyst who finds nothing and the mess.
Estimate

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

16%22%+3.5
Privacy, retention and the field you cannot keep.
Estimate

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

16%28%+4.5
The business, shadow IT and not building another lake.
Estimate

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

18%14%+2.5
That it gets used, and not letting raw data rot.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • model data
  • lineage
  • data catalogue
  • data contracts
  • pipeline quality
  • retention
  • data lakes
  • privacy

Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511

Analyse my job

Jobs with similar scores

  1. 546Wind-turbine technician19%
  2. 547Battery technician19%
  3. 548Biogas technician19%
  4. 550Small-hydro technician19%
  5. 551Surgical technologist19%
  6. 552Weaver19%