IS WORK OVER?

Automation index

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

A diagram and a rack checklist come earlier. Pulling cable through a ceiling, and bringing a link up, do not.

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

Task comparison

Network 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
Diagrams, inventory and standard configs.
Estimate

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

18%38%+6.8
Tickets, remote diagnosis and logs.
Estimate

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

16%28%+4.5
Pulling, racking, crimping and labelling.
Estimate

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

22%12%+2.6
Bring up links, VLANs and site Wi-Fi.
Estimate

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

16%15%+2.4
On-call, outages and user care.
Estimate

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

14%18%+2.5
Vendors, civil work and access.
Estimate

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

14%16%+2.2
Total100%21%

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

Skills and activities

  • Diagrams, inventory and standard configs
  • Tickets, remote diagnosis and logs
  • Pulling, racking, crimping and labelling
  • Bring up links, VLANs and site Wi-Fi
  • On-call, outages and user care
  • Vendors, civil work and access
  • tecnico de redes
  • network technician
  • cableador
  • cisco

Sources for this job· O*NET 15-1241.00· ESCO/ISCO 3513

Mobile developer

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
Screens, API and offline state.
Estimate

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

18%52%+9.4
Store review, crashlytics and ANRs.
Estimate

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

16%40%+6.4
Real device, the notch and fragmented Android.
Estimate

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

16%22%+3.5
CI, tests and the week's release.
Estimate

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

16%28%+4.5
Product, the redesign and not breaking what people use.
Estimate

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

18%14%+2.5
That it does not crash, and not ignoring the one-star.
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

  • build apps
  • ship to stores
  • crashlytics
  • offline state
  • ANRs
  • mobile tests
  • fragmented Android
  • store review

Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514

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