Automation index

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

A standard deed drafts faster. Identifying the parties, warning them, and authenticating does not fit a model.

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.

#356 / 633

Notary

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
Prepare drafts and deeds from templates. Estimate No public source provides a precise figure. This is our estimate.	22%	42%	+9.2
Check liens, titles and registry data. Estimate No public source provides a precise figure. This is our estimate.	16%	35%	+5.6
Advise parties on the act’s consequences. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Identify, authorise and authenticate in person. Estimate No public source provides a precise figure. This is our estimate.	18%	8%	+1.4
Protocolise, file at the registry and keep the record. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Resolve conflicts between parties at signing. Estimate No public source provides a precise figure. This is our estimate.	12%	10%	+1.2
Total	100%		22%

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

IS WORK OVER?

27%

#162 / 633

Materials 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
Tests, metallography and the spec. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Shop, heat treatment and the part that fails spec. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Material choice, corrosion and fatigue. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Supplier, certificates and the doubtful batch. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The field failure and the root cause. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it does not fail, and not swapping the material blind. 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