Automation index

How much of a Warehouse operator’s job can AI already do?

Today an AI or a robot can barely cover part of a shift. Pace, the physical space, and dealing with people still are the job.

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

Task comparison

IS WORK OVER?

33%

AI can already do 33% of this job.

#24 / 623

Warehouse operator

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
Record numbers of units handled or moved, using daily production sheets or work tickets. Estimate No public source provides a precise figure. This is our estimate.	19%	55%	+10.5
Move freight, stock, or other materials to and from storage or production areas, loading docks, delivery vehicles, ships, or containers, by hand or using trucks, tractors, or other equipment. Estimate No public source provides a precise figure. This is our estimate.	18%	28%	+5
Maintain equipment storage areas to ensure that inventory is protected. Estimate No public source provides a precise figure. This is our estimate.	18%	28%	+5
Read work orders or receive oral instructions to determine work assignments or material or equipment needs. Estimate No public source provides a precise figure. This is our estimate.	15%	28%	+4.2
Sort cargo before loading and unloading. Estimate No public source provides a precise figure. This is our estimate.	14%	28%	+3.9
Attach identifying tags to containers or mark them with identifying information. Estimate No public source provides a precise figure. This is our estimate.	12%	28%	+3.4
Install protective devices, such as bracing, padding, or strapping, to prevent shifting or damage to items being transported. Estimate No public source provides a precise figure. This is our estimate.	4%	28%	+1.1
Total	100%		33%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

IS WORK OVER?

28%

#84 / 623

Barista

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
Prepare or serve hot or cold beverages, such as coffee, espresso drinks, blended coffees, or teas. Estimate No public source provides a precise figure. This is our estimate.	9%	28%	+2.5
Receive and process customer payments. Estimate No public source provides a precise figure. This is our estimate.	8%	28%	+2.2
Take customer orders and convey them to other employees for preparation. Estimate No public source provides a precise figure. This is our estimate.	8%	28%	+2.2
Describe menu items to customers, or suggest products that might appeal to them. Estimate No public source provides a precise figure. This is our estimate.	7%	28%	+2
Serve prepared foods, such as muffins, biscotti, or bagels. Estimate No public source provides a precise figure. This is our estimate.	7%	28%	+2
Prepare or serve menu items, such as sandwiches or salads. Estimate No public source provides a precise figure. This is our estimate.	7%	28%	+2
Clean or sanitize work areas, utensils, or equipment. Estimate No public source provides a precise figure. This is our estimate.	6%	28%	+1.7
Clean service or seating areas. Estimate No public source provides a precise figure. This is our estimate.	6%	28%	+1.7
Other less frequent tasks (weight estimated from frequency). Estimate No public source provides a precise figure. This is our estimate.	42%	28%	+11.8
Total	100%		28%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low