Automation index

How much of a Office manager’s job can AI already do?

An office inventory comes earlier. The house working without running out of paper do not.

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

Task comparison

IS WORK OVER?

27%

AI can already do 27% of this job.

#169 / 623

Office manager

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.

Task	Share	AI	Points
Vendors, contracts and the inventory. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Facilities, the air-con and the one who is late. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Onboarding, keys and the desk. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Budget, the extra and not overspending. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Management, the surprise and not leaving the office dark. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it works, and not running out of paper. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		27%

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

IS WORK OVER?

25%

#230 / 623

Biomedical engineer

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.

Task	Share	AI	Points
Design, validate and document clinical devices and software. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Tests, MDR and risk. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Hospital, clinicians and maintenance. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Vendors, quality and traceability. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
User training and post-market watch. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Not putting a half-built prototype in theatre. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		25%

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