Floorers and wall tilers
Floorers and wall tilers lay composition mixtures (other than mastic asphalt) to form flooring, plan, fit and secure carpet, underlay and linoleum and cover and decorate walls and floors with terrazzo and granolithic mixtures, tiles and mosaic panels.
Task Bundle Breakdown
How AI interacts with this occupation's task bundle
Task-by-Task Breakdown
Every task scored individually — sorted highest to lowest AI exposure
examines drawings and specifications to determine job requirements
AI tools like AutoCAD or PlanSwift can help interpret drawings and auto-calculate material quantities, but a human must still assess site-specific conditions and translate specs into physical reality.
examines premises to plan suitable layout and cuts, lays and secures underlay, carpet and linoleum
AI-powered room-scanning apps like RoomScan Pro can assist with layout planning and measurements, but cutting, laying, and securing carpet and linoleum is entirely physical skilled work.
mixes cement screed or other adhesive, cuts and positions floor and wall tiles and checks alignment of tiling with spirit level
AI apps can assist with tile layout planning and pattern visualisation (e.g. Planner 5D), but mixing adhesive, cutting tiles, and checking alignment with a spirit level are hands-on tasks requiring skilled physical execution.
cleans floor surface, fixes wooden laying guides and mixes, pours and levels granite and terrazzo mixtures, bitumen, synthetic resin or other composition mixtures to form flooring
Mixing, pouring, and levelling physical materials requires hands-on dexterity, physical strength, and real-time tactile judgment that no current AI or robotic system can replicate on typical job sites.
finishes covering by rolling, smoothing, grouting or polishing
Rolling, smoothing, grouting, and polishing are tactile, physical finishing tasks requiring experienced human hands and on-the-spot quality judgement that AI cannot perform.
ROI Calculator
Floorers and wall tilers
This is not a pay rise — it's 216 hours of productive capacity that AI could return to you, valued at your current rate.
The portion of your current salary tied to tasks AI can automate or augment. Not a prediction of job loss — a signal of where your role is changing fastest.
How is this calculated?▾
Task weights — each task is weighted by its O*NET frequency rating. Where frequency data is absent, equal weighting is applied.
AI time reduction — tasks scored as "AI Automates" assume 80% time saving; "AI Assists" assumes 40%; "Human-Led" assumes 5%.
Salary equivalent — annual hours saved × (salary ÷ 1,800 working hours/year).
Value at risk — salary × share of role time in AI-automate or AI-assist tasks.
Figures are indicative estimates for planning purposes, not guarantees of productivity gain or job loss risk.