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

DJ

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
Prep crates, edits and setlists.
Estimate

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

18%42%+7.6
Promo, contracts and riders.
Estimate

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

16%30%+4.8
Play live and read the floor.
Estimate

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

24%8%+1.9
Room sound, desk and technical faults.
Estimate

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

14%12%+1.7
Venue, talent buyer and crowd.
Estimate

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

14%14%+2
Brand, touring and own catalogue.
Estimate

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

14%16%+2.2
Total100%20%

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

Skills and activities

  • Prep crates, edits and setlists
  • Promo, contracts and riders
  • Play live and read the floor
  • Room sound, desk and technical faults
  • Venue, talent buyer and crowd
  • Brand, touring and own catalogue
  • pinchadiscos
  • disc jockey

Sources for this job· O*NET 27-2042.00· ESCO/ISCO 2652

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