Benchmark Job

Architects, Except Landscape and Naval

Architects, Except Landscape and Naval is a hybrid role where automation assists execution but does not fully replace ownership.

Plan and design structures, such as private residences, office buildings, theaters, factories, and other structural property.

51% exposure • Medium confidenceToday

Compare with another job Analyze my exact job description

Category: Architecture and Engineering • Industry: Carpet and Rug Mills (31)

Why this score

How we calculate

Top 3 drivers

Routine process execution: 32% task weight, 65% automation potential.
Documentation and reporting: 28% task weight, 55% automation potential.
Stakeholder communication: 22% task weight, 41% 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 • 21 contribution)65%

Mixed automation potential with meaningful human oversight.

Documentation and reporting (28% weight • 15 contribution)55%

Mixed automation potential with meaningful human oversight.

Stakeholder communication (22% weight • 9 contribution)41%

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

Exception handling (18% weight • 6 contribution)31%

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 execution65% automation potential • Workflow automation + RPA
Documentation and reporting55% automation potential • Document AI + reporting automation
Stakeholder communication41% 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 37% of automatable tasks.

Remaining gaps: exceptions, communication, edge cases.

Automation timeline

Current mode: Today • Exposure estimate: 51% • tools now

What to pivot into

Compare roles

Safer adjacent roles

Automotive EngineersExposure: 35% • Salary: $128,500 • +$6,000 • Exposure tradeoff: -12 pts
Geodetic SurveyorsExposure: 36% • Salary: $128,000 • +$5,500 • Exposure tradeoff: -11 pts
Solar Energy Systems EngineersExposure: 36% • Salary: $118,000 • -$4,500 • Exposure tradeoff: -11 pts
Computer Hardware EngineersExposure: 38% • Salary: $127,500 • +$5,000 • Exposure tradeoff: -9 pts
Cartographers and PhotogrammetristsExposure: 38% • Salary: $117,500 • -$5,000 • Exposure tradeoff: -9 pts
Fire-Prevention and Protection EngineersExposure: 38% • Salary: $117,500 • -$5,000 • Exposure tradeoff: -9 pts

Higher-paying adjacent roles

MathematiciansExposure: 27% • Salary: $160,000 • +$37,500 • Exposure tradeoff: -20 pts
Human Factors Engineers and ErgonomistsExposure: 41% • Salary: $134,000 • +$11,500 • Exposure tradeoff: -6 pts
Nanosystems EngineersExposure: 47% • Salary: $132,500 • +$10,000 • Exposure tradeoff: +0 pts
Automotive EngineersExposure: 35% • Salary: $128,500 • +$6,000 • Exposure tradeoff: -12 pts
Geodetic SurveyorsExposure: 36% • Salary: $128,000 • +$5,500 • Exposure tradeoff: -11 pts
Computer Hardware EngineersExposure: 38% • Salary: $127,500 • +$5,000 • Exposure tradeoff: -9 pts

Related roles

Automotive Engineering Technicians47% exposure • Architecture and Engineering
Landscape Architects47% exposure • Architecture and Engineering
Motorcycle Mechanics47% exposure • Installation, Maintenance, and Repair
Nanosystems Engineers47% exposure • Architecture and Engineering
Robotics Technicians47% exposure • Architecture and Engineering
Audiovisual Equipment Installers and Repairers46% exposure • Installation, Maintenance, and Repair

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 17-1011.00, 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 314110, sector 31, 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