Automation index

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

A camera plan comes earlier. Seeing the face, not the wall opposite, 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.

#316 / 633

CCTV technician

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
Plan, FOV and the recorder. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Fit, focus and the backlight that blinds. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Network, PoE and the disk that fills. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Data-protection law, signs and the client who wants the whole street. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Residents, the porter and the illegal angle. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
See the face, and not recording extra. 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?

22%

#327 / 633

Hotel concierge

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
Bookings, maps and recommendations. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Desk, bags and difficult guests. Estimate No public source provides a precise figure. This is our estimate.	20%	12%	+2.4
Restaurants, tickets and transport. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Logs, shifts and front-desk coordination. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Neighbourhood, vendors and errands. Estimate No public source provides a precise figure. This is our estimate.	16%	16%	+2.6
Not leaving a guest stranded at two in the morning. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		22%

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