# Mechanical Engineers

> Perform engineering duties in planning and designing tools, engines, machines, and other mechanically functioning equipment. Oversee installation, operation, maintenance, and repair of equipment such as centralized heat, gas, water, and steam systems.

- **SOC code:** 17-2141.00
- **Canonical URL:** https://singulariki.com/roles/role-17-2141-00
- **Also known as:** Design Engineer, Mechanical Engineer, Product Engineer, Project Engineer, Application Engineer, Equipment Engineer, Mechanical Design Engineer, Mechanical Designer
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Read and interpret blueprints, technical drawings, schematics, or computer-generated reports.
- Research, design, evaluate, install, operate, or maintain mechanical products, equipment, systems or processes to meet requirements.
- Specify system components or direct modification of products to ensure conformance with engineering design, performance specifications, or environmental regulations.
- Confer with engineers or other personnel to implement operating procedures, resolve system malfunctions, or provide technical information.
- Design integrated mechanical or alternative systems, such as mechanical cooling systems with natural ventilation systems, to improve energy efficiency.
- Calculate energy losses for buildings, using equipment such as computers, combustion analyzers, or pressure gauges.
- Investigate equipment failures or difficulties to diagnose faulty operation and recommend remedial actions.
- Recommend design modifications to eliminate machine or system malfunctions.
- Recommend the use of utility or energy services that minimize carbon footprints.
- Research and analyze customer design proposals, specifications, manuals, or other data to evaluate the feasibility, cost, or maintenance requirements of designs or applications.
- Perform personnel functions, such as supervision of production workers, technicians, technologists, or other engineers.
- Apply engineering principles or practices to emerging fields, such as robotics, waste management, or biomedical engineering.

**Emerging tasks** (O*NET):
- Investigate equipment failures or diagnose faulty operations and recommend or perform remedial actions.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Design _(knowledge)_
- Engineering and Technology _(knowledge)_
- Production and Processing _(knowledge)_
- Mechanical _(knowledge)_
- English Language _(knowledge)_
- Oral Comprehension _(ability)_
- Written Comprehension _(ability)_
- Oral Expression _(ability)_
- Problem Sensitivity _(ability)_
- Deductive Reasoning _(ability)_
- Inductive Reasoning _(ability)_
- Reading Comprehension _(essential_skill)_

**Skills in demand:**
- English Language _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Mathematics _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Critical Thinking _(Common Skill)_
- Active Listening _(Common Skill)_
- Complex Problem Solving _(Common Skill)_
- Visualization _(Specialized Skill)_
- Microsoft PowerPoint _(Common Skill)_
- Microsoft Outlook _(Common Skill)_

**Tools & technology:**
- Autodesk AutoCAD _(hot technology, in demand)_
- Autodesk Revit _(hot technology, in demand)_
- Dassault Systemes SolidWorks _(hot technology, in demand)_
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Outlook _(hot technology, in demand)_
- Microsoft PowerPoint _(hot technology, in demand)_
- Python _(hot technology, in demand)_
- Adobe Illustrator _(hot technology)_
- Autodesk AutoCAD Civil 3D _(hot technology)_
- Bentley MicroStation _(hot technology)_
- C _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 78th percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 74th percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 76th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 82nd percentile (High) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 7th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 9.1% growth (Growing fast); 18.1k annual openings; 293.1k → 319.6k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $102,320; 286,760 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 29% automation, 42% augmentation (usage-weighted).
- **Autonomy median:** 3.5 (higher = AI acts more independently).
- **Dominant collaboration mode:** learning.

**Tasks most handed to AI here:**
- Provide technical customer service. _(1.3% of measured AI use; learning)_
- Recommend design modifications to eliminate machine or system malfunctions. _(0.7% of measured AI use; learning)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me provide technical customer service.
- Help me recommend design modifications to eliminate machine or system malfunctions.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-17-2141-00_