Automation index

How much of a Demolition worker’s job can AI already do?

A demolition plan comes earlier. Bringing it down without taking the party wall or anyone do not.

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

Task comparison

IS WORK OVER?

19%

AI can already do 19% of this job.

#518 / 633

Demolition worker

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
Plan, asbestos and prior removal. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Demolish, cut and the controlled push. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Party wall, shore and the neighbour who complains. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Waste, sorting and the tip. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Dust, water and not leaving the street a site. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Not taking the party wall, and signing the takedown. Estimate No public source provides a precise figure. This is our estimate.	14%	10%	+1.4
Total	100%		19%

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

IS WORK OVER?

25%

#230 / 633

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