Automation index

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

A booking and a reminder come earlier. Suction, passing and not leaving the patient alone 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.

#480 / 633

Dental assistant

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
Diary, charts and setting the bay. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Suction, pass instruments and isolate. Estimate No public source provides a precise figure. This is our estimate.	22%	10%	+2.2
Care for the patient and explain aftercare. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Develop, label and file tests. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Sterilisation, impressions and stock. Estimate No public source provides a precise figure. This is our estimate.	16%	16%	+2.6
Not infecting anyone and not leaving cotton inside. Estimate No public source provides a precise figure. This is our estimate.	14%	14%	+2
Total	100%		19%

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

IS WORK OVER?

14%

#630 / 633

Paramedic

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
Notes and protocols Estimate No public source provides a precise figure. This is our estimate.	20%	30%	+6
Street care and transfer Estimate No public source provides a precise figure. This is our estimate.	50%	8%	+4
Life-threatening calls Estimate No public source provides a precise figure. This is our estimate.	20%	12%	+2.4
Coordination Estimate No public source provides a precise figure. This is our estimate.	10%	15%	+1.5
Total	100%		14%

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