IS WORK OVER?

Automation index

Can AI do the work of a Barista?

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.

It does not measure how many roles are at risk.

Task comparison

Barista

Where the time goes

Score = Σ (weight × saving). Weight is our estimate from frequency, not a time share published by O*NET. Saving is separate.

Weights are our estimate from O*NET frequency (FT). O*NET does not publish % of the week.

TaskShareAIAdds
Prepare or serve hot or cold beverages, such as coffee, espresso drinks, blended coffees, or teas.
Estimate

No public source pins this saving. It is an estimate of the method.

9%28%+2.5
Receive and process customer payments.
Estimate

No public source pins this saving. It is an estimate of the method.

8%28%+2.2
Take customer orders and convey them to other employees for preparation.
Estimate

No public source pins this saving. It is an estimate of the method.

8%28%+2.2
Describe menu items to customers, or suggest products that might appeal to them.
Estimate

No public source pins this saving. It is an estimate of the method.

7%28%+2
Serve prepared foods, such as muffins, biscotti, or bagels.
Estimate

No public source pins this saving. It is an estimate of the method.

7%28%+2
Prepare or serve menu items, such as sandwiches or salads.
Estimate

No public source pins this saving. It is an estimate of the method.

7%28%+2
Clean or sanitize work areas, utensils, or equipment.
Estimate

No public source pins this saving. It is an estimate of the method.

6%28%+1.7
Clean service or seating areas.
Estimate

No public source pins this saving. It is an estimate of the method.

6%28%+1.7
Other less frequent tasks (weight estimated from frequency).
Estimate

No public source pins this saving. It is an estimate of the method.

42%28%+11.8
Total100%28%

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

Skills this job uses

  • comply with food safety and hygiene
  • educate customers on tea varieties
  • maintain relationship with customers
  • greet guests
  • handle customer complaints
  • upsell products
  • handover the service area
  • set up the coffee area
  • maintain customer service
  • work in a hospitality team

Sources for this job· O*NET 35-3023.01· ESCO/ISCO 5132

University professor

Where the time goes

Score = Σ (weight × saving). Weight is our estimate from frequency, not a time share published by O*NET. Saving is separate.

Weights are our estimate from O*NET frequency (FT). O*NET does not publish % of the week.

TaskShareAIAdds
Prep materials, tests and rubrics.
Estimate

No public source pins this saving. It is an estimate of the method.

20%45%+9
Papers, grants and reviews.
Estimate

No public source pins this saving. It is an estimate of the method.

16%38%+6.1
Teach and tutor.
Estimate

No public source pins this saving. It is an estimate of the method.

20%12%+2.4
Supervise theses and examine.
Estimate

No public source pins this saving. It is an estimate of the method.

16%15%+2.4
Department meetings and academic admin.
Estimate

No public source pins this saving. It is an estimate of the method.

14%14%+2
Actually research and choose the problem.
Estimate

No public source pins this saving. It is an estimate of the method.

14%16%+2.2
Total100%24%

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

Skills this job uses

  • teach class
  • mark students
  • lesson plans
  • teach
  • Prep materials, tests and rubrics
  • Papers, grants and reviews
  • Teach and tutor
  • Supervise theses and examine
  • Department meetings and academic admin
  • Actually research and choose the problem

Sources for this job· O*NET 25-1081.00· ESCO/ISCO 2310

Analyse my job

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