Automation index

How much of a Environmental technician’s job can AI already do?

A sampling round comes earlier. Measuring for real without hiding the spike do not.

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

Task comparison

IS WORK OVER?

22%

AI can already do 22% of this job.

#390 / 633

Environmental technician

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
Sampling, chain and the blank. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Field, the discharge and the one you cannot see. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Report, limits and not dressing it. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Inspection, the firm and holding. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The council, the complaint and not sitting on the figure. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Measure for real, and not hiding the spike. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		22%

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