Automation index

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

A glossary and a prep pack come earlier. Speaking at the same time as the other person, in a room, does not.

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

Task comparison

IS WORK OVER?

24%

AI can already do 24% of this job.

#269 / 633

Interpreter

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
Prep glossaries, briefings and corpora. Estimate No public source provides a precise figure. This is our estimate.	20%	48%	+9.6
Translate support documents for the event. Estimate No public source provides a precise figure. This is our estimate.	16%	35%	+5.6
Interpret simultaneous or consecutive in the room. Estimate No public source provides a precise figure. This is our estimate.	24%	12%	+2.9
Manage fatigue, booth and handover. Estimate No public source provides a precise figure. This is our estimate.	14%	15%	+2.1
Ethics, confidentiality and live correction. Estimate No public source provides a precise figure. This is our estimate.	14%	14%	+2
Clients, credentials and specialism. Estimate No public source provides a precise figure. This is our estimate.	12%	18%	+2.2
Total	100%		24%

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

IS WORK OVER?

23%

#301 / 633

Home-automation installer

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
Diagram, buses and scene programming. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Wire, sensors and the switch that does not answer. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Integrate lights, climate and the client app. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Train, guest mode and the one who breaks it. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The lived-in house and not leaving it dark. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That it obeys, and not needing the cloud for a switch. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		23%

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