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?

31%

#33 / 633

Information specialist

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
Classify, index and describe holdings. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Thesauri, metadata and the internal search. Estimate No public source provides a precise figure. This is our estimate.	16%	52%	+8.3
Answer queries and retrieve what nobody can find. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Records policy, retention and destruction. Estimate No public source provides a precise figure. This is our estimate.	18%	22%	+4
Train people who file badly and people who do not file. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
The organisation’s memory, and not losing it. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		30%

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