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?
Logistics analyst
28%
#79 / 623
View rankingLogistics analyst
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 |
|---|---|---|---|
Costs, OTIF and the dashboard.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Simulate network, warehouses and the what-if.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Ops, dirty data and going down to the dock.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Report, the board and the cut that hurts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The haulier, the contract and not breaking the service.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
A real saving, and not dressing OTIF.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
- logistics costs
- OTIF
- simulate network
- what-if
- dirty data
- haulage contracts
- dashboards
- network cuts
Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421