Automation index
How much of a Forklift operator’s job can AI already do?
A delivery note and a route come earlier. Lifting a pallet and not dropping it do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Forklift operator
17%
AI can already do 17% of this job.
#597 / 643
View rankingForklift operator
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 |
|---|---|---|---|
Notes, locations and picking routes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Drive, lift and stack.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Loads, centres of gravity and aisles.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Shift, radio and dock.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Logs, incidents and counts.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 22% | +3.1 |
Not hitting anyone or a pallet.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 17% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Notes, locations and picking routes
- Drive, lift and stack
- Loads, centres of gravity and aisles
- Shift, radio and dock
- Logs, incidents and counts
- Not hitting anyone or a pallet
- carretillero
- carretilla
- forklift
Sources for this job· O*NET 53-7051.00· ESCO/ISCO 8344
IS WORK OVER?
Data architect
28%
#83 / 643
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