IS WORK OVER?

Automation index

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

A render and a moodboard come earlier. Measuring a real flat, and fighting a wall with the client, do not.

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

Task comparison

Interior designer

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
Moodboards, renders and a first plan.
Estimate

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

20%48%+9.6
Budget, lines and orders.
Estimate

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

16%38%+6.1
Measure, visit and read the real light.
Estimate

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

16%15%+2.4
Works, trades and surprises.
Estimate

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

16%14%+2.2
Client, changes of mind and close.
Estimate

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

16%12%+1.9
Taste: what stays and what is noise.
Estimate

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

16%16%+2.6
Total100%25%

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

Skills and activities

  • design interfaces
  • prototypes
  • figma
  • Moodboards, renders and a first plan
  • Budget, lines and orders
  • Measure, visit and read the real light
  • Works, trades and surprises
  • Client, changes of mind and close
  • Taste: what stays and what is noise
  • interiorista

Sources for this job· O*NET 27-1025.00· ESCO/ISCO 3432

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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