Automation index
How much of a Prompt engineer’s job can AI already do?
A prompt and an eval come earlier. Knowing when the model lies, and what must not be automated, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Prompt engineer
34%
AI can already do 34% of this job.
#21 / 623
View rankingPrompt 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 prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512
IS WORK OVER?
Salesforce administrator
28%
#77 / 623
View rankingSalesforce administrator
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 |
|---|---|---|---|
Objects, flows and permissions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Reports, dashboards and data clean-up.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The rep who will not log in and the real process.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Releases, sandboxes and not breaking production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
IT, legal and the field you cannot have.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That they use it, and not inflating licences.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Salesforce flows
- permissions
- CRM reports
- data clean-up
- sandboxes
- custom objects
- dashboards
- sales adoption
Sources for this job· O*NET 15-1242.00· ESCO/ISCO 2522