Automation index
How much of a Chiropractor’s job can AI already do?
A film and a report come earlier. The adjustment, and not hurting the neck, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Chiropractor
20%
AI can already do 20% of this job.
#466 / 633
View rankingChiropractor
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 |
|---|---|---|---|
History, films and a first plan.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Adjustment, mobilisation and spinal work.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Explain, dose and watch red flags.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Notes, consents and progress.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Room, hygiene and follow-up.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not over-adjusting or treating the wrong person.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 20% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- History, films and a first plan
- Adjustment, mobilisation and spinal work
- Explain, dose and watch red flags
- Notes, consents and progress
- Room, hygiene and follow-up
- quiropractico
- chiropractor
Sources for this job· O*NET 29-1011.00· ESCO/ISCO 2269
IS WORK OVER?
Prompt engineer
34%
#21 / 633
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