IS WORK OVER?

Automation index

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

A score and a balance sheet come earlier. Saying no to a friend of the director does not.

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

Task comparison

Credit analyst

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
Scoring, accounts and a first opinion.
Estimate

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

20%48%+9.6
Visit, check and ask for more papers.
Estimate

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

16%32%+5.1
Committee, director and terms.
Estimate

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

16%22%+3.5
Monitoring, alerts and refinancing.
Estimate

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

16%18%+2.9
Rules, circular and documentation.
Estimate

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

16%16%+2.6
Not lending to someone who will not pay back.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • Scoring, accounts and a first opinion
  • Visit, check and ask for more papers
  • Committee, director and terms
  • Monitoring, alerts and refinancing
  • Rules, circular and documentation
  • analista de credito
  • credit analyst

Sources for this job· O*NET 13-2041.00· ESCO/ISCO 2413

Agile coach

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
Boards, metrics and the cadence design.
Estimate

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

16%40%+6.4
The real retro and the elephant in the room.
Estimate

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

18%14%+2.5
Train, unblock and the manager who will not let go.
Estimate

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

16%32%+5.1
Scale, dependencies and fake agile.
Estimate

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

16%28%+4.5
Conflict, power and not selling extra frameworks.
Estimate

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

18%18%+3.2
That they stop faking it, and not inflating velocity.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • retros
  • agile cadence
  • unblock teams
  • flow metrics
  • fake agile
  • agile training
  • dependencies
  • velocity

Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421

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