IS WORK OVER?

Automation index

How much of a Professional athlete’s job can AI already do?

A load plan and a video analysis come earlier. Competing, getting hurt, and coming back do not.

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

Task comparison

Professional athlete

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
Load plans, nutrition and video analysis.
Estimate

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

16%35%+5.6
Social, contracts and travel diary.
Estimate

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

14%28%+3.9
Train and compete the craft.
Estimate

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

26%4%+1
Physio, sleep and prevention.
Estimate

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

16%8%+1.3
Wear the shirt, press and the dressing room.
Estimate

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

14%10%+1.4
Manage an injury and the end of a career.
Estimate

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

14%12%+1.7
Total100%15%

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

Skills and activities

  • Load plans, nutrition and video analysis
  • Social, contracts and travel diary
  • Train and compete the craft
  • Physio, sleep and prevention
  • Manage an injury and the end of a career
  • deportista
  • atleta profesional
  • futbolista
  • professional athlete

Sources for this job· O*NET 27-2021.00· ESCO/ISCO 3421

Clinical research associate

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
Protocol, CRF and the monitoring visit.
Estimate

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

18%48%+8.6
Source, the gap and the one that does not fit.
Estimate

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

16%40%+6.4
Adverse event, the deadline and not delaying.
Estimate

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

16%22%+3.5
Consent, the signature and the one who did not understand.
Estimate

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

16%28%+4.5
The sponsor, the audit and not dressing the figure.
Estimate

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

18%14%+2.5
Audit, and not leaving a made-up figure.
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

  • CRF
  • monitoring
  • adverse events
  • informed consent
  • source data
  • trial audits
  • clinical protocols
  • site visits

Sources for this job· O*NET 11-9121.00· ESCO/ISCO 2131

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