Benchmark Job

Tile and Stone Setters

Tile and Stone Setters is a hybrid role where automation assists execution but does not fully replace ownership.

Apply hard tile, stone, and comparable materials to walls, floors, ceilings, countertops, and roof decks.

57% exposure • Medium confidenceToday

Compare with another job Analyze my exact job description

Category: Construction and Extraction • Industry: Structural Steel and Precast Concrete Contractors (23)

Why this score

How we calculate

Top 3 drivers

Routine process execution: 32% task weight, 71% automation potential.
Documentation and reporting: 28% task weight, 61% automation potential.
Stakeholder communication: 22% task weight, 47% automation potential.

Top 2 blockers

Exception handling: Edge cases and accountability ownership.
Stakeholder communication: Empathy, negotiation, and situational nuance.

Confidence reasons

1,016 benchmark role descriptions are mapped across O*NET + NAICS sources.
Coverage spans 23 categories and 1,012 industries.
Adjacent role consistency band is ±1 points for this benchmark family.

Task Mix

Routine process execution (32% weight • 23 contribution)71%

High digital structure and strong existing tooling coverage.

Documentation and reporting (28% weight • 17 contribution)61%

Mixed automation potential with meaningful human oversight.

Stakeholder communication (22% weight • 10 contribution)47%

Mixed automation potential with meaningful human oversight.

Exception handling (18% weight • 7 contribution)37%

High judgment, trust, or contextual complexity keeps this human-led.

Recommended Stack

Click a stack item to open setup difficulty, time-to-value, and workflow details.

Replaceable tasks vs human tasks

AI-suitable tasks

Routine process execution71% automation potential • Workflow automation + RPA
Documentation and reporting61% automation potential • Document AI + reporting automation
Stakeholder communication47% automation potential • Template assistant + CRM automation

Human-needed tasks

Exception handlingAI struggles because edge cases and accountability ownership.
Stakeholder communicationAI struggles because empathy, negotiation, and situational nuance.
Documentation and reportingAI struggles because liability and audit-quality requirements.

Tools coverage meter

This stack covers 40% of automatable tasks.

Remaining gaps: exceptions, communication, edge cases.

Automation timeline

Current mode: Today • Exposure estimate: 57% • tools now

What to pivot into

Compare roles

Safer adjacent roles

Solar Thermal Installers and TechniciansExposure: 39% • Salary: $73,500 • +$10,000 • Exposure tradeoff: -14 pts
Environmental Engineering Technologists and TechniciansExposure: 40% • Salary: $117,000 • +$53,500 • Exposure tradeoff: -13 pts
BoilermakersExposure: 41% • Salary: $73,000 • +$9,500 • Exposure tradeoff: -12 pts
ElectriciansExposure: 41% • Salary: $73,000 • +$9,500 • Exposure tradeoff: -12 pts
Plumbers, Pipefitters, and SteamfittersExposure: 41% • Salary: $73,000 • +$9,500 • Exposure tradeoff: -12 pts
Hazardous Materials Removal WorkersExposure: 42% • Salary: $73,000 • +$9,500 • Exposure tradeoff: -11 pts

Higher-paying adjacent roles

Environmental Engineering Technologists and TechniciansExposure: 40% • Salary: $117,000 • +$53,500 • Exposure tradeoff: -13 pts
Water/Wastewater EngineersExposure: 46% • Salary: $116,000 • +$52,500 • Exposure tradeoff: -7 pts
Electrical EngineersExposure: 52% • Salary: $114,500 • +$51,000 • Exposure tradeoff: -1 pts
SurveyorsExposure: 55% • Salary: $114,000 • +$50,500 • Exposure tradeoff: +2 pts
Surveying and Mapping TechniciansExposure: 53% • Salary: $107,500 • +$44,000 • Exposure tradeoff: +0 pts
Industrial Engineering Technologists and TechniciansExposure: 55% • Salary: $107,000 • +$43,500 • Exposure tradeoff: +2 pts

Related roles

Construction and Building Inspectors53% exposure • Construction and Extraction
Loading and Moving Machine Operators, Underground Mining53% exposure • Construction and Extraction
Rail-Track Laying and Maintenance Equipment Operators53% exposure • Construction and Extraction
Surveying and Mapping Technicians53% exposure • Architecture and Engineering
Underground Mining Machine Operators, All Other53% exposure • Construction and Extraction
Electrical Engineers52% exposure • Architecture and Engineering

Examples of automations

Scheduling automation examples

Capture requests from form/email into one queue
Auto-propose slots using Scheduling workflow
Send reminders and update status automatically
Escalate conflicts to a supervisor with context

Reporting automation examples

Aggregate daily operations into one reporting table
Generate dashboards with Reporting automation
Create weekly summary narratives with risk flags
Distribute summaries by role with required actions

Communication templating examples

Classify inbound messages by intent and urgency
Draft replies with Communication copilot
Insert policy-approved language and context snippets
Queue sensitive drafts for manager approval

Escalation handling examples

Detect exception triggers from job events
Route to specialist based on severity policy
Attach timeline, customer context, and prior actions
Track closure and feed outcomes into playbooks

Benchmark data source

Last updated: March 4, 2026

Benchmarked descriptions used: 1,016 role descriptions mapped across 1,012 industries.

Data references for this role

Role profile and task mix
Job title, SOC 47-2044.00, role description, task statements, and job-zone context.
Source: O*NET Database 29.0 (Occupation Data + Job Zones) • O*NET Resource Center / U.S. Department of Labor
Industry and sector mapping
Industry code 238120, sector 23, and category mapping shown on this role.
Source: NAICS 2022 6-Digit Codes • U.S. Census Bureau
Exposure score, confidence, and timeline views
Deterministic benchmark scoring, confidence tiers, stack coverage, and timeline projections derived from role/task inputs.
Source: replaced.fyi methodology • replaced.fyi
Related roles and pivot recommendations
Adjacent-role comparisons and safer/higher-pay pivot suggestions computed from the same benchmark catalog.
Source: replaced.fyi rankings dataset • replaced.fyi

Primary source list

O*NET Database 29.0 (Occupation Data + Job Zones) • O*NET Resource Center / U.S. Department of Labor
NAICS 2022 6-Digit Codes • U.S. Census Bureau

Confidence definition: High confidence means broad role coverage, benchmark consistency across adjacent roles, and stable task-level scoring signals.

Methodology • Rankings