Automation index

How much of a Landscape architect’s job can AI already do?

A planting plan comes earlier. A garden you can live in that does not die in August do not.

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

Task comparison

IS WORK OVER?

24%

AI can already do 24% of this job.

#277 / 633

Landscape architect

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, species and the irrigation. Estimate No public source provides a precise figure. This is our estimate.	16%	44%	+7
Works, levels and the tree that will not fit. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Soil, climate and not planting what will not last. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Client, maintenance and what they will not water. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
August, the drought and the yes to xeriscape. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it is lived in, and not dying in August. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		24%

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