Automation index
How much of a Personal trainer’s job can AI already do?
Today an AI can already prep materials, sort notes, and write a first summary. The class, the source, and the patient still need someone in the room.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Personal trainer
27%
AI can already do 27% of this job.
#150 / 623
View rankingPersonal trainer
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 |
|---|---|---|---|
Observe participants and inform them of corrective measures necessary for skill improvement.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 28% | +3.4 |
Instruct participants in maintaining exertion levels to maximize benefits from exercise routines.EstimateNo public source provides a precise figure. This is our estimate. | 10% | 28% | +2.8 |
Offer alternatives during classes to accommodate different levels of fitness.EstimateNo public source provides a precise figure. This is our estimate. | 9% | 28% | +2.5 |
Teach proper breathing techniques used during physical exertion.EstimateNo public source provides a precise figure. This is our estimate. | 9% | 22% | +2 |
Monitor participants' progress and adapt programs as needed.EstimateNo public source provides a precise figure. This is our estimate. | 9% | 28% | +2.5 |
Plan routines, choose appropriate music, and choose different movements for each set of muscles, depending on participants' capabilities and limitations.EstimateNo public source provides a precise figure. This is our estimate. | 8% | 28% | +2.2 |
Teach and demonstrate use of gymnastic and training equipment, such as trampolines and weights.EstimateNo public source provides a precise figure. This is our estimate. | 8% | 22% | +1.8 |
Evaluate individuals' abilities, needs, and physical conditions, and develop suitable training programs to meet any special requirements.EstimateNo public source provides a precise figure. This is our estimate. | 8% | 28% | +2.2 |
Other less frequent tasks (weight estimated from frequency).EstimateNo public source provides a precise figure. This is our estimate. | 27% | 28% | +7.6 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- demonstrate professional Pilates attitude
- manage fitness communication
- safely instruct about fitness
- identify customer objectives
- ensure safety of exercise environment
- analyse personal fitness information
- show professional responsibility
- provide fitness information
- prescribe exercises
- adapt Pilates exercises
Sources for this job· O*NET 39-9031.00· ESCO/ISCO 3423
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