Automation index

How much of a Piling operator’s job can AI already do?

A pile plan comes earlier. Driving to level without cracking the neighbour 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.

#521 / 633

Piling operator

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
Set-out, level and each pile’s log. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Drive, bore and refusal. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Cage, pour and the tube that rides up. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Vibration, the neighbour and stopping in time. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Plant, access and the one that will not fit. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
To level, and not cracking party walls. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
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