IS WORK OVER?

Automation index

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

A link and a sizing come earlier. A network that survives a match night does not.

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

Task comparison

Telecom 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
Size, simulate and plan radio and fibre.
Estimate

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

18%48%+8.6
Projects, permits and sites.
Estimate

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

16%32%+5.1
Field, measurements and commissioning.
Estimate

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

16%22%+3.5
Incidents, NOC and operators.
Estimate

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

16%18%+2.9
Rules, spectrum and documentation.
Estimate

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

18%16%+2.9
Not leaving a town dark from a mistake.
Estimate

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

16%14%+2.2
Total100%25%

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

Skills and activities

  • Size, simulate and plan radio and fibre
  • Projects, permits and sites
  • Field, measurements and commissioning
  • Incidents, NOC and operators
  • Rules, spectrum and documentation
  • Not leaving a town dark from a mistake
  • ingeniero de telecomunicaciones
  • telecom engineer

Sources for this job· O*NET 17-2072.00· ESCO/ISCO 2153

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

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