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
IS WORK OVER?
Interior designer
25%
AI can already do 25% of this job.
#242 / 623
View rankingInterior 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.
| Task | Share | AI | Points |
|---|---|---|---|
Moodboards, renders and a first plan.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Budget, lines and orders.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 38% | +6.1 |
Measure, visit and read the real light.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
Works, trades and surprises.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
Client, changes of mind and close.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Taste: what stays and what is noise.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
| Total | 100% | 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
IS WORK OVER?
Data engineer
31%
#36 / 623
View rankingData 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.
| Task | Share | AI | Points |
|---|---|---|---|
Design pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511