Automation index
How much of a Fleet dispatcher’s job can AI already do?
A GPS and a route come earlier. Covering the job when the truck stops do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Fleet dispatcher
28%
AI can already do 28% of this job.
#93 / 623
View rankingFleet dispatcher
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 |
|---|---|---|---|
Routes, GPS and the day’s plan.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
The stopped truck, the client and reassigning.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Times, tachograph and not burning the hours.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Incidents, warehouse and the delivery that is not there.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The driver, the shortcut and not lying to the client.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Cover the job, and not leaving the route half done.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
- dispatch the fleet
- truck GPS
- tachograph
- reassign routes
- driving hours
- delivery incidents
- day plan
- stopped truck
Sources for this job· O*NET 43-5032.00· ESCO/ISCO 4323
IS WORK OVER?
Prompt engineer
34%
#21 / 623
View rankingPrompt engineer
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 |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512