IS WORK OVER?

Automation index

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

A layout and a component come earlier. A site that loads and does not die on a Friday does not.

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

Task comparison

Web 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
Layout, components and API consumption.
Estimate

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

20%48%+9.6
Accessibility, performance and technical SEO.
Estimate

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

16%32%+5.1
Design, product and the client who changes their mind.
Estimate

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

16%22%+3.5
Deploys, incidents and monitoring.
Estimate

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

16%18%+2.9
Tests, code review and documentation.
Estimate

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

16%16%+2.6
Not shipping a half-change on a Friday.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • write code
  • programming
  • software development
  • coding
  • debug code
  • Layout, components and API consumption
  • Deploys, incidents and monitoring
  • Tests, code review and documentation
  • Not shipping a half-change on a Friday
  • desarrollador web

Sources for this job· O*NET 15-1254.00· ESCO/ISCO 2513

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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