Automation index
How much of a Physicist’s job can AI already do?
A curve fit and a first paper come earlier. Designing the experiment, and believing the datum, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Physicist
28%
AI can already do 28% of this job.
#98 / 733
View rankingPhysicist
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 |
|---|---|---|---|
Simulate, fit and reduce data.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 50% | +11 |
Draft papers, posters and proposals.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 42% | +7.6 |
Design the experiment and the apparatus.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Measure in the lab or in the field.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Argue with the group and peer-review.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Win machine time and funding.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Simulate, fit and reduce data
- Draft papers, posters and proposals
- Design the experiment and the apparatus
- Measure in the lab or in the field
- Argue with the group and peer-review
- Win machine time and funding
- fisico
- physicist
Sources for this job· O*NET 19-2012.00· ESCO/ISCO 2111
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