Automation index
How much of a Tennis coach’s job can AI already do?
A stroke pattern comes earlier. Getting them on court without wrecking the shoulder do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Tennis coach
19%
AI can already do 19% of this job.
#495 / 633
View rankingTennis coach
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 |
|---|---|---|---|
Pattern, rally and the plan.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Court, the one who hides and the one who overhits.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Competition, the needle and the one who throws the racquet.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Shoulder, load and not rushing the event.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Parents, the ranking and not burning the child.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
On court, and the shoulder whole.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- rally
- stroke patterns
- court
- shoulder
- ranking
- racquet
- parents
- training load
Sources for this job· O*NET 27-2022.00· ESCO/ISCO 3422
IS WORK OVER?
Data architect
28%
#83 / 633
View rankingData architect
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 |
|---|---|---|---|
Models, lineage and the catalogue.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Pipelines, quality and the data contract.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The analyst who finds nothing and the mess.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Privacy, retention and the field you cannot keep.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The business, shadow IT and not building another lake.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it gets used, and not letting raw data rot.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
- model data
- lineage
- data catalogue
- data contracts
- pipeline quality
- retention
- data lakes
- privacy
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511