Automation index

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

A corpus comes earlier. Describing the language without over-prescribing do not.

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

Task comparison

IS WORK OVER?

27%

AI can already do 27% of this job.

#171 / 663

Linguist

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
Corpus, glosses and the analysis. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Field, the speaker and the one who will not. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Report, the variety and not dismissing it. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Teach, the standard and not humiliating. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The job, the rush and not faking the figure. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Describe, and not over-prescribing. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		27%

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

IS WORK OVER?

19%

#565 / 663

Biomedical equipment 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
Ticket, the inventory and the calibration. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
ICU, the ventilator and not switching off the one that is ventilating. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Theatre, the stack and the one that fails at induction. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Part, the spare and the one that does not arrive. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The clinician, the rush and not leaving the kit half done. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
That it works at three, and signing the calibration. 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