IS WORK OVER?

Automation index

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

A prompt and an eval come earlier. Knowing when the model lies, and what must not be automated, do not.

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

Task comparison

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

Translator

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
Follow ethical codes that protect the confidentiality of information.
Estimate

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

15%28%+4.2
Translate messages simultaneously or consecutively into specified languages, orally or by using hand signs, maintaining message content, context, and style as much as possible.
Public

WMT 2024

See evidence

14%72%+10.1
Listen to speakers' statements to determine meanings and to prepare translations, using electronic listening systems as necessary.
Public

WMT 2024

See evidence

11%72%+7.9
Identify and resolve conflicts related to the meanings of words, concepts, practices, or behaviors.
Estimate

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

10%28%+2.8
Check translations of technical terms and terminology to ensure that they are accurate and remain consistent throughout translation revisions.
Public

WMT 2024

See evidence

8%72%+5.8
Refer to reference materials, such as dictionaries, lexicons, encyclopedias, and computerized terminology banks, as needed to ensure translation accuracy.
Public

WMT 2024

See evidence

7%72%+5
Compile information on content and context of information to be translated and on intended audience.
Public

WMT 2024

See evidence

7%72%+5
Adapt translations to students' cognitive and grade levels, collaborating with educational team members as necessary.
Public

WMT 2024

See evidence

7%72%+5
Other less frequent tasks (weight estimated from frequency).
Estimate

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

21%28%+5.9
Total100%52%

Modelled workweek: 100% · Public evidence: 54% · Estimate: 46% · Confidence: Medium

Skills and activities

  • translate texts
  • interpret
  • proofread translations
  • information confidentiality
  • spelling
  • office software
  • grammar
  • speak different languages
  • master language rules
  • develop a translation strategy

Sources for this job· O*NET 27-3091.00· ESCO/ISCO 2643

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