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

Prompt engineer

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
Design prompts, tools and chains.
Estimate

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

24%58%+13.9
Evals, datasets and regressions.
Estimate

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

18%52%+9.4
Integrate with product and safety limits.
Estimate

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

16%22%+3.5
Talk to the business about a good output.
Estimate

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

16%18%+2.9
Watch hallucinations, bias and cost.
Estimate

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

14%20%+2.8
Decide what the model gets, and what it does not.
Estimate

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

12%16%+1.9
Total100%34%

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

Skills and activities

  • Design prompts, tools and chains
  • Evals, datasets and regressions
  • Integrate with product and safety limits
  • Talk to the business about a good output
  • Watch hallucinations, bias and cost
  • prompt engineer
  • ingeniero de prompts
  • llm engineer

Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512

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