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Janitors and Cleaners

Put up to three roles next to each other: the exposure figure, the inputs behind it, the window, what is driving change, and where the work moves. Every figure comes from the same method, so the gap between two scores means something.

Janitors and Cleaners

Exposure

Janitors and Cleaners
19

Low exposure

More exposed than 5% of 250 roles

Window · adoption

7–15 yrs

until most of the change has landed

Low-Medium adoption

In one line

AI has little to do with most cleaning tasks; autonomous floor scrubbers and sensor-driven scheduling are the visible changes.

Inputs behind the score · scaled 0–100

Task applicability

22

Observed usage

0

Official exposure tier

10

Labour-market trajectory

n/a

Published adoption rating

25

Editorial adjustment +4

What is driving it

  1. Autonomous floor-cleaning robots
  2. Sensor-based demand cleaning
  3. Workforce and inspection apps
  4. Labour shortages and turnover
  5. Hygiene expectations
  6. Facilities-management consolidation

Skills worth building

  1. Robot operation and basic maintenance
  2. Digital task management
  3. Specialist cleaning techniques
  4. Health and safety knowledge
  5. Customer and tenant communication
  6. Time management across varied tasks

Tools in the work now

  1. Brain Corp BrainOS
  2. Tennant autonomous scrubbers
  3. Avidbots Neo
  4. Tork Vision Cleaning
  5. Swept

Where the work moves

Security Guards38

More exposed

HVAC Technicians23

Different skills, growing

Construction Labourers7

Complementary, less exposed

Full report

Read Janitors and Cleaners

Scores are the CareerGuard Exposure Index v2: the same five inputs and weights for every role, so a gap of ten points means the same thing wherever it appears. How scores are built.