Automation index
How much of a Immunologist’s job can AI already do?
An autoantibody panel comes earlier. Calling it autoimmune without leaving the patient untreated do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Immunologist
27%
AI can already do 27% of this job.
#181 / 733
View rankingImmunologist
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 |
|---|---|---|---|
Panel, autoantibodies and the report.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Clinic, the flare and the one that does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Immunosuppressant, the dose and not dropping extra.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Infection, the risk and vaccinating on time.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The internist, the board and not delaying the biologic.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Call it autoimmune, and sign the treatment.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- autoantibodies
- autoimmune flares
- immunosuppressants
- biologics
- vaccinate the immunocompromised
- immunology clinic
- opportunistic infections
- immune panels
Sources for this job· O*NET 29-1229.00· ESCO/ISCO 2212
IS WORK OVER?
Reliability engineer
27%
#175 / 733
View rankingReliability 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 |
|---|---|---|---|
Data, MTBF and the Pareto.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Failure, the cause and not patching twice.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Spare, the critical and not hiding it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
RCM, the plan and the one that is not done.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Production, the rush and not running the tired one.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not drop at three, and not hiding the spare.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- MTBF
- Pareto
- root causes
- critical spares
- RCM
- failures
- maintenance plans
- not patch twice
Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141