Automation index

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

A diagram and an app come earlier. Wiring without false alarms and training the neighbour do not.

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

Task comparison

IS WORK OVER?

23%

AI can already do 23% of this job.

#300 / 633

Alarm 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, zones and programming the panel. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Wire, sensors and the detector that trips alone. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
ARC, tests and the connection note. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Train the user and the fob that gets lost. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The lived-in flat, the brick and not breaking extra. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
No false alarms, and a real call-out. 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

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