IS WORK OVER?

Automation index

How much of a Back-office clerk’s job can AI already do?

A match comes earlier. The trade settling without hanging do not.

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

Task comparison

Back-office clerk

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
Matching, settlement and the fail.
Estimate

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

18%48%+8.6
Custody, corporates and the one that does not square.
Estimate

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

16%40%+6.4
Reconcile, the nostro and the gap.
Estimate

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

16%22%+3.5
Regulatory, the report and the deadline.
Estimate

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

16%28%+4.5
The desk, the rush and not leaving the fail.
Estimate

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

18%14%+2.5
That it settles, and not hanging.
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

  • matching
  • settlement
  • custody
  • reconcile nostro
  • fails
  • corporate actions
  • regulatory reports
  • hung trades

Sources for this job· O*NET 43-4011.00· ESCO/ISCO 4312

University tutor

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
Form, the file and the one who does not come.
Estimate

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

18%48%+8.6
Mark, the cut and the one who gives up.
Estimate

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

16%40%+6.4
Grant, the paper and not letting it lapse.
Estimate

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

16%22%+3.5
Health, the referral and not playing clinician.
Estimate

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

16%28%+4.5
The dean, the dropout figure and not dressing it.
Estimate

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

18%14%+2.5
That they ask for help, and not dropping out.
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

  • university tutoring
  • degree dropout
  • grants
  • files
  • health referral
  • the dean
  • grade cuts
  • tutoring forms

Sources for this job· O*NET 25-1199.00· ESCO/ISCO 2310

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