Automation index

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

A certificate comes earlier. The instrument measuring without signing blind 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.

#383 / 633

Calibration 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
Standard, uncertainty and the certificate. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Instrument, the adjust and the one that will not go. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Field, the one that cannot move and the portable standard. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Lab, the temperature and not skipping the soak. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The client, the rush and not signing blind. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That it measures, and a true certificate. 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?

26%

#198 / 633

Web developer

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
Layout, components and API consumption. Estimate No public source provides a precise figure. This is our estimate.	20%	48%	+9.6
Accessibility, performance and technical SEO. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Design, product and the client who changes their mind. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Deploys, incidents and monitoring. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Tests, code review and documentation. Estimate No public source provides a precise figure. This is our estimate.	16%	16%	+2.6
Not shipping a half-change on a Friday. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		26%

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