Automation index
How much of a Writer’s job can AI already do?
A first chapter and a synopsis can be farmed out. Choosing the book, lasting three years, and signing it cannot.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Writer
27%
AI can already do 27% of this job.
#151 / 623
View rankingWriter
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 |
|---|---|---|---|
Research, document and outline plots.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 45% | +9.9 |
Draft chapters and variants.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 38% | +7.6 |
Rewrite with an editor and your own taste.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Readings, fairs and reader relations.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
Contracts, agent and book promotion.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Find the voice and decide what ships.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Research, document and outline plots
- Draft chapters and variants
- Rewrite with an editor and your own taste
- Readings, fairs and reader relations
- Contracts, agent and book promotion
- Find the voice and decide what ships
- escritor
- escritora
- novelista
- writer novelist
Sources for this job· O*NET 27-3043.00· ESCO/ISCO 2641
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