Automation index

How much of a Cycle courier’s job can AI already do?

A job app comes earlier. Crossing the city and delivering it whole do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

IS WORK OVER?

20%

AI can already do 20% of this job.

#466 / 643

Cycle courier

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
App, routes and the urgent job. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Pedal, traffic and not losing the parcel. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Lobby, the code and the one who will not come down. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Rain, puncture and the job that drops. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The platform, the fee and the one that does not pay time. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Deliver it whole, and not leaving it on the landing blind. Estimate No 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

IS WORK OVER?

31%

#33 / 643

Information specialist

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. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Thesauri, metadata and the internal search. Estimate No public source provides a precise figure. This is our estimate.	16%	52%	+8.3
Answer queries and retrieve what nobody can find. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Records policy, retention and destruction. Estimate No public source provides a precise figure. This is our estimate.	18%	22%	+4
Train people who file badly and people who do not file. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
The organisation’s memory, and not losing it. Estimate No 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