IS WORK OVER?

Automation index

How much of a Orthodontist’s job can AI already do?

A digital setup and a first aligner come earlier. Bonding a bracket and not losing a tooth do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Orthodontist

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
Scan, cephalometry and a first setup.
Estimate

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

16%40%+6.4
Bond, adjust and review appliances.
Estimate

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

20%12%+2.4
Explain, motivate and follow the teenager.
Estimate

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

16%22%+3.5
Charts, photos and aligner orders.
Estimate

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

16%28%+4.5
Wire emergencies and lost brackets.
Estimate

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

16%16%+2.6
Final occlusion and not leaving a relapse.
Estimate

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

16%14%+2.2
Total100%22%

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

Skills and activities

  • Scan, cephalometry and a first setup
  • Bond, adjust and review appliances
  • Explain, motivate and follow the teenager
  • Charts, photos and aligner orders
  • Wire emergencies and lost brackets
  • Final occlusion and not leaving a relapse
  • ortodoncista
  • orthodontist

Sources for this job· O*NET 29-1023.00· ESCO/ISCO 2261

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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