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

Last-mile 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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
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

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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