IS WORK OVER?

Automation index

How much of a Barista’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

Barista

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
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
Total100%28%

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

Skills and activities

  • 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

Payroll clerk

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
Starters, variables and the engine.
Estimate

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

18%48%+8.6
Incidents, the missed day and overtime.
Estimate

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

16%40%+6.4
Social security, tax and the month’s return.
Estimate

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

16%22%+3.5
Query, the payslip and the one who does not get it.
Estimate

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

16%28%+4.5
The close, the rush and not paying twice.
Estimate

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

18%14%+2.5
Pay right, and not leaving anyone at zero.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • payroll starters
  • variables
  • income tax
  • social security
  • payslips
  • overtime
  • payroll close
  • incidents

Sources for this job· O*NET 43-3051.00· ESCO/ISCO 4313

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