Automation index

How much of a Product owner’s job can AI already do?

A backlog and a user story write fast. Telling engineering no, and a customer yes, do not.

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

Task comparison

IS WORK OVER?

27%

AI can already do 27% of this job.

#171 / 633

Product owner

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
Write stories, criteria and backlog. Estimate No public source provides a precise figure. This is our estimate.	22%	50%	+11
Maps, roadmaps and release notes. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Refine with engineering and design. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Talk to users and stakeholders. Estimate No public source provides a precise figure. This is our estimate.	16%	15%	+2.4
Prioritise, cut scope and say no. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Accept the increment and own the value. Estimate No public source provides a precise figure. This is our estimate.	14%	16%	+2.2
Total	100%		27%

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

IS WORK OVER?

28%

#114 / 633

Parts clerk

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
Catalogue, equivalents and the code. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
Counter, the waiting shop and the doubt. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Stock, urgent orders and the one that is late. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Returns, warranties and the wrong part. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The mechanic, the blurry photo and not selling blind. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
The one that fits, not the lookalike. Estimate No 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