IS WORK OVER?

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

Product owner

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.

TaskShareAIPoints
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
Total100%27%

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

Skills and activities

  • Write stories, criteria and backlog
  • Maps, roadmaps and release notes
  • Refine with engineering and design
  • Talk to users and stakeholders
  • Prioritise, cut scope and say no
  • Accept the increment and own the value
  • product owner
  • po agil

Sources for this job· O*NET 15-1199.09· ESCO/ISCO 2519

Warehouse supervisor

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.

TaskShareAIPoints
Docks, waves and the shift plan.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
The team, the peak and the one who cannot keep up.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Stock, shrink and the mystery gap.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Safety, forklifts and the near miss.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The late haulier and not mixing the docks.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Get the shift out, and not mixing the goods.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Total100%24%

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

Skills and activities

  • plan docks
  • waves
  • warehouse shift
  • shrink
  • forklifts
  • near misses
  • outbound peaks
  • mixed goods

Sources for this job· O*NET 53-1048.00· ESCO/ISCO 1324

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