Automation index

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

A calculation and a model come earlier. Signing a shaft that will not break does not.

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

Task comparison

IS WORK OVER?

25%

AI can already do 25% of this job.

#254 / 683

Mechanical 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
Calculate, model and simulate parts and assemblies. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Drawings, tolerances and bills of materials. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Meetings with shop, client and purchasing. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Tests, prototypes and commissioning. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Rules, quality and CE documentation. Estimate No public source provides a precise figure. This is our estimate.	16%	16%	+2.6
Sign, register and own the design. 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

IS WORK OVER?

27%

#206 / 683

University tutor

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
Form, the file and the one who does not come. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Mark, the cut and the one who gives up. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Grant, the paper and not letting it lapse. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Health, the referral and not playing clinician. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The dean, the dropout figure and not dressing it. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That they ask for help, and not dropping out. 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