Automation index
How much of a Equality officer’s job can AI already do?
A stock equality plan comes earlier. Stopping what happens in the corridor do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Equality officer
29%
AI can already do 29% of this job.
#72 / 623
View rankingEquality officer
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 |
|---|---|---|---|
Diagnosis, equality plan and the pay register.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Harassment protocols, training and clauses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The complaint, the committee and what nobody wants to hear.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Indicators, annual report and bargaining with the firm.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The agreement, tenders and social clauses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
That it is done, and not left as a PDF.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- equality plans
- pay gap register
- harassment protocols
- equality training
- gap diagnosis
- social clauses
- equality indicators
- bargain with the firm
Sources for this job· O*NET 13-1041.00· ESCO/ISCO 2422
IS WORK OVER?
Prompt engineer
34%
#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