Automation index
How much of a Tow-truck driver’s job can AI already do?
A call and a route come earlier. Hooking on the hard shoulder without making the crash worse do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Tow-truck driver
20%
AI can already do 20% of this job.
#453 / 643
View rankingTow-truck driver
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 |
|---|---|---|---|
Call, route and the vehicle type.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Hard shoulder, hook and traffic that will not stop.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Hydraulics, bed and the low car that scrapes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Garage, the note and the client who argues.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Night, rain and not becoming the next crash.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Not making the crash worse, and signing the hook.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 20% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- hook vehicles
- hard shoulder
- the bed
- recovery calls
- crane hydraulics
- recovery notes
- traffic
- low cars
Sources for this job· O*NET 53-3032.00· ESCO/ISCO 8332
IS WORK OVER?
Translator
52%↓
#1 / 643
View rankingTranslator
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 |
|---|---|---|---|
Follow ethical codes that protect the confidentiality of information.EstimateNo public source provides a precise figure. This is our estimate. | 15% | 28% | +4.2 |
| Translate messages simultaneously or consecutively into specified languages, orally or by using hand signs, maintaining message content, context, and style as much as possible. | 14% | 72% | +10.1 |
| Listen to speakers' statements to determine meanings and to prepare translations, using electronic listening systems as necessary. | 11% | 72% | +7.9 |
Identify and resolve conflicts related to the meanings of words, concepts, practices, or behaviors.EstimateNo public source provides a precise figure. This is our estimate. | 10% | 28% | +2.8 |
| Check translations of technical terms and terminology to ensure that they are accurate and remain consistent throughout translation revisions. | 8% | 72% | +5.8 |
| Refer to reference materials, such as dictionaries, lexicons, encyclopedias, and computerized terminology banks, as needed to ensure translation accuracy. | 7% | 72% | +5 |
| Compile information on content and context of information to be translated and on intended audience. | 7% | 72% | +5 |
| Adapt translations to students' cognitive and grade levels, collaborating with educational team members as necessary. | 7% | 72% | +5 |
Other less frequent tasks (weight estimated from frequency).EstimateNo public source provides a precise figure. This is our estimate. | 21% | 28% | +5.9 |
| Total | 100% | 52% |
Modelled workweek: 100% · Public evidence: 54% · Estimate: 46% · Confidence: Medium
Skills and activities
- translate texts
- interpret
- proofread translations
- information confidentiality
- spelling
- office software
- grammar
- speak different languages
- master language rules
- develop a translation strategy
Sources for this job· O*NET 27-3091.00· ESCO/ISCO 2643