IS WORK OVER?

Automation index

How much of a Medical sales rep’s job can AI already do?

A leave-behind comes earlier. Getting into clinic without selling smoke to the doctor do not.

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

Task comparison

Medical sales rep

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
Route, leave-behind and the call.
Estimate

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

16%40%+6.4
Clinic, the minute and the one who will not see you.
Estimate

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

18%14%+2.5
Trial, the SmPC and not over-claiming.
Estimate

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

16%28%+4.5
Pharmacy, stock and the one who will not order.
Estimate

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

16%22%+3.5
The code, compliance and not over-hosting.
Estimate

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

18%18%+3.2
Get in for real, and not selling smoke.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • call routes
  • leave-behinds
  • SmPC
  • pharmacies
  • compliance
  • trials
  • clinics
  • not over-claim

Sources for this job· O*NET 41-4011.00· ESCO/ISCO 2433

Actuary

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
Run models, reserves and sensitivities.
Estimate

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

24%55%+13.2
Draft technical reports and memos.
Estimate

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

18%48%+8.6
Choose assumptions, tables and criteria.
Estimate

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

16%22%+3.5
Explain to the board and the supervisor.
Estimate

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

16%15%+2.4
Validate data quality and bias.
Estimate

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

14%12%+1.7
Signed opinion and professional liability.
Estimate

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

12%18%+2.2
Total100%32%

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

Skills and activities

  • Run models, reserves and sensitivities
  • Draft technical reports and memos
  • Choose assumptions, tables and criteria
  • Explain to the board and the supervisor
  • Validate data quality and bias
  • Signed opinion and professional liability
  • actuario
  • actuary

Sources for this job· O*NET 15-2011.00· ESCO/ISCO 2120

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