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 / 623
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?
Mobile developer
28%
#92 / 623
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.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
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514