Automation index
How much of a Information specialist’s job can AI already do?
Filing a PDF and a thesaurus come earlier. Retrieving what the house does not know it has do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Information specialist
31%
AI can already do 31% of this job.
#33 / 733
View rankingInformation specialist
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 |
|---|---|---|---|
Classify, index and describe holdings.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Thesauri, metadata and the internal search.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 52% | +8.3 |
Answer queries and retrieve what nobody can find.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Records policy, retention and destruction.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 22% | +4 |
Train people who file badly and people who do not file.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
The organisation’s memory, and not losing it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 30% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- manage records
- index holdings
- classify archives
- retrieve information
- metadata
- thesauri
- retention policy
- internal search
Sources for this job· O*NET 25-4013.00· ESCO/ISCO 2622
IS WORK OVER?
Traffic engineer
27%
#178 / 733
View rankingTraffic 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 |
|---|---|---|---|
Counts, the model and the microsim.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Junction, the timings and the pedestrian.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Works, the diversion and not choking the neighbourhood.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Report, the councillor and not painting the miracle lane.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The crash, the figure and not hiding it.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That the junction does not kill, and not painting extra.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- microsims
- counts
- junction timings
- pedestrians
- diversions
- councillors
- crashes
- lanes
Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142