IS WORK OVER?

Automation index

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

A risk map and a VaR come earlier. Stopping a product and convincing the committee do not.

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

Task comparison

Risk manager

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
Maps, models and risk reporting.
Estimate

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

22%52%+11.4
Policies, limits and stress tests.
Estimate

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

18%45%+8.1
Escalate an incident and talk to desks.
Estimate

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

16%18%+2.9
Committee, exceptions and negotiation.
Estimate

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

16%15%+2.4
Data quality and model assumptions.
Estimate

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

14%16%+2.2
Stop the risk and sign the opinion.
Estimate

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

14%14%+2
Total100%29%

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

Skills and activities

  • Maps, models and risk reporting
  • Policies, limits and stress tests
  • Escalate an incident and talk to desks
  • Committee, exceptions and negotiation
  • Data quality and model assumptions
  • Stop the risk and sign the opinion
  • risk manager
  • gestor de riesgos
  • riesgo operacional

Sources for this job· O*NET 13-2099.02· ESCO/ISCO 2413

Front-end developer

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
Component, states and the design.
Estimate

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

18%48%+8.6
Accessible, the keyboard and the reader.
Estimate

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

16%40%+6.4
Contrast, the token and not leaving it dead.
Estimate

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

16%22%+3.5
Performance, the weight and not adding the extra library.
Estimate

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

16%28%+4.5
The designer, the pixel and not fighting for sport.
Estimate

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

18%14%+2.5
That it works from the keyboard, and not leaving the contrast.
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

  • components
  • accessibility
  • keyboard
  • contrast
  • tokens
  • front-end performance
  • libraries
  • write interface

Sources for this job· O*NET 15-1254.00· ESCO/ISCO 2513

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