Automation index

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

A cabin diary comes earlier. The house smelling right without double-booking the massage do not.

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

Task comparison

IS WORK OVER?

27%

AI can already do 27% of this job.

#148 / 623

Spa manager

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, cabins and the staff. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Client, the complaint and the one who is late. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Protocols, hygiene and the product. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Occupancy, the hotel and not giving the circuit away. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The inspection, insurance and not hiding the incident. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Smell right, and no double-booked massage. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		27%

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

IS WORK OVER?

21%

#434 / 623

Network 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
Diagrams, inventory and standard configs. Estimate No public source provides a precise figure. This is our estimate.	18%	38%	+6.8
Tickets, remote diagnosis and logs. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Pulling, racking, crimping and labelling. Estimate No public source provides a precise figure. This is our estimate.	22%	12%	+2.6
Bring up links, VLANs and site Wi-Fi. Estimate No public source provides a precise figure. This is our estimate.	16%	15%	+2.4
On-call, outages and user care. Estimate No public source provides a precise figure. This is our estimate.	14%	18%	+2.5
Vendors, civil work and access. Estimate No public source provides a precise figure. This is our estimate.	14%	16%	+2.2
Total	100%		21%

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