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

Logistics 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
Costs, OTIF and the dashboard.
Estimate

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

18%52%+9.4
Simulate network, warehouses and the what-if.
Estimate

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

16%40%+6.4
Ops, dirty data and going down to the dock.
Estimate

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

16%22%+3.5
Report, the board and the cut that hurts.
Estimate

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

16%28%+4.5
The haulier, the contract and not breaking the service.
Estimate

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

18%14%+2.5
A real saving, and not dressing OTIF.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • logistics costs
  • OTIF
  • simulate network
  • what-if
  • dirty data
  • haulage contracts
  • dashboards
  • network cuts

Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421

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