IS WORK OVER?

Automation index

How much of a Waiter’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

Waiter

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
Collect payments from customers.
Estimate

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

6%28%+1.7
Check with customers to ensure that they are enjoying their meals, and take action to correct any problems.
Estimate

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

6%28%+1.7
Remove dishes and glasses from tables or counters, and take them to kitchen for cleaning.
Estimate

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

5%28%+1.4
Prepare checks that itemize and total meal costs and sales taxes.
Estimate

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

5%28%+1.4
Clean tables or counters after patrons have finished dining.
Estimate

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

5%28%+1.4
Take orders from patrons for food or beverages.
Estimate

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

5%28%+1.4
Write patrons' food orders on order slips, memorize orders, or enter orders into computers for transmittal to kitchen staff.
Estimate

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

5%28%+1.4
Inform customers of daily specials.
Estimate

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

5%28%+1.4
Other less frequent tasks (weight estimated from frequency).
Estimate

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

58%28%+16.2
Total100%28%

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

Skills and activities

  • wine characteristics
  • sparkling wines
  • select glassware for serving
  • comply with food safety and hygiene
  • order supplies
  • organise wine cellar
  • upsell products
  • check wine quality
  • serve wines
  • assist customers

Sources for this job· O*NET 35-3031.00· ESCO/ISCO 5131

Station master

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
Graph, orders and the station log.
Estimate

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

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

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

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

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

16%32%+5.1
Incident, passengers and the PA.
Estimate

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

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

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

18%18%+3.2
That they do not meet, and signing the graph.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

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