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

Station master

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
Graph, orders and the station log.
Estimate

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

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

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

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

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

16%32%+5.1
Incident, passengers and the PA.
Estimate

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

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

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

18%18%+3.2
That they do not meet, and signing the graph.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

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