Takeover Tracker
35%medium risk

Computer Hardware Engineers

Research, design, develop, or test computer or computer-related equipment for commercial, industrial, military, or scientific use. May supervise the manufacturing and installation of computer or computer-related equipment and components.

Higher risk than 65% of occupations
Checking for existing plan...

How AI Impacts Each Task

18 tasks analyzed

Update knowledge and skills to keep up with rapid advancements in computer technology.

Risk: 41.0%AI: 35EstimatedTime: 5%

Build, test, and modify product prototypes using working models or theoretical models constructed with computer simulation.

Risk: 47.0%AI: 50EstimatedTime: 10%

Write detailed functional specifications that document the hardware development process and support hardware introduction.

Risk: 73.3%AI: 60.17ObservedTime: 8%

Specify power supply requirements and configuration, drawing on system performance expectations and design specifications.

Risk: 51.0%AI: 60EstimatedTime: 5%

Confer with engineering staff and consult specifications to evaluate interface between hardware and software and operational and performance requirements of overall system.

Risk: 40.1%AI: 62.75ObservedTime: 8%

Design and develop computer hardware and support peripherals, including central processing units (CPUs), support logic, microprocessors, custom integrated circuits, and printers and disk drives.

Risk: 51.3%AI: 60.82ObservedTime: 12%

Select hardware and material, assuring compliance with specifications and product requirements.

Risk: 51.0%AI: 60EstimatedTime: 5%

Monitor functioning of equipment and make necessary modifications to ensure system operates in conformance with specifications.

Risk: 49.0%AI: 55EstimatedTime: 6%

Test and verify hardware and support peripherals to ensure that they meet specifications and requirements, by recording and analyzing test data.

Risk: 49.0%AI: 55EstimatedTime: 8%

Direct technicians, engineering designers or other technical support personnel as needed.

Risk: 23.0%AI: 20EstimatedTime: 5%

Provide technical support to designers, marketing and sales departments, suppliers, engineers and other team members throughout the product development and implementation process.

Risk: 40.6%AI: 63.9ObservedTime: 5%

Store, retrieve, and manipulate data for analysis of system capabilities and requirements.

Risk: 65.9%AI: 41.77ObservedTime: 4%

Evaluate factors such as reporting formats required, cost constraints, and need for security restrictions to determine hardware configuration.

Risk: 52.9%AI: 64.78ObservedTime: 4%

Analyze user needs and recommend appropriate hardware.

Risk: 50.4%AI: 58.5ObservedTime: 4%

Analyze information to determine, recommend, and plan layout, including type of computers and peripheral equipment modifications.

Risk: 51.1%AI: 60.12ObservedTime: 4%

Assemble and modify existing pieces of equipment to meet special needs.

Risk: 13.0%AI: 10EstimatedTime: 3%

Recommend purchase of equipment to control dust, temperature, and humidity in area of system installation.

Risk: 84.0%AI: 87EstimatedTime: 2%

Provide training and support to system designers and users.

Risk: 41.7%AI: 66.67ObservedTime: 2%

Skill Impact Analysis

AI-Vulnerable Skills (6)

Mathematics10%

High reliance on Mathematics is a risk area. Consider developing complementary AI-resistant skills to maintain value.

Reading Comprehension10%

High reliance on Reading Comprehension is a risk area. Consider developing complementary AI-resistant skills to maintain value.

Information Ordering5%

High reliance on Information Ordering is a risk area. Consider developing complementary AI-resistant skills to maintain value.

Mathematics10%

Mathematics is AI-vulnerable but has moderate importance in this role. AI tools may handle this; focus on higher-value skills.

Memorization5%

Memorization is AI-vulnerable but has moderate importance in this role. AI tools may handle this; focus on higher-value skills.

Programming15%

Programming is AI-vulnerable but has moderate importance in this role. AI tools may handle this; focus on higher-value skills.

AI-Resistant Skills (11)

Adaptability/Flexibility85%

Adaptability/Flexibility is AI-resistant — strengthening this skill provides durable career protection.

Complex Problem Solving75%

Complex Problem Solving is AI-resistant — strengthening this skill provides durable career protection.

Coordination70%

Coordination is AI-resistant — strengthening this skill provides durable career protection.

Leadership88%

Leadership is AI-resistant — strengthening this skill provides durable career protection.

Social Perceptiveness90%

Social Perceptiveness is AI-resistant — strengthening this skill provides durable career protection.

Instructing75%

Instructing is AI-resistant — strengthening this skill provides durable career protection.

Persuasion80%

Persuasion is AI-resistant — strengthening this skill provides durable career protection.

Service Orientation82%

Service Orientation is AI-resistant — strengthening this skill provides durable career protection.

Recommended Courses

Courses matched to Computer Hardware Engineers skill gaps, ranked by relevance to your displacement risk profile.

Get personalized recommendations. Answer a few questions about your experience and skills to get course suggestions tailored specifically to you.

Upskill to Reduce Risk

Courses addressing your most AI-vulnerable skills

DataCampbeginner

SQL Fundamentals Skill Track

by DataCamp

21 hours$25/mo4.7Certificate
Addresses vulnerability: Information Ordering

Estimated Impact

-7.4pt risk+$9K/yr salary

AI-Augmentation Tools

Learn to work alongside AI and boost your productivity

Coursera

Creative Writing Specialization

by Wesleyan University

~8 weeks$49/mo4.7Certificate
Enhances AI augmentation: Writing

Estimated Impact

-5.4pt risk+$9K/yr salary

Strengthen Your Edge

Double down on skills AI can't replicate

Pluralsightadvanced

Design Patterns in C# and .NET

by Pluralsight

20 hours$29/mo4.6
Strengthens resilience: Complex Problem Solving

Estimated Impact

-2.1pt risk+$6K/yr salary

We may earn a commission when you enroll through our links, at no extra cost to you. This helps fund the Takeover Tracker.

Risk reduction and salary impact are estimates based on skill gap analysis, course relevance, and labor market data. Actual results vary by individual circumstance.

Score History

Risk score over 2 scoring runs

-2.4

overall change

Education & Training

Percentage of workers at each education and training level

Education Level

Bachelor's Degree68%
Doctoral/Professional Degree27%
Level 115%

Prior Experience Needed

Work experience required to enter this job

None14%
6 months - 1 year27%
1-2 years14%
2-4 years23%
4-6 years9%
6-8 years5%
Over 10 years9%

Training Provided After Hiring

How long it typically takes to learn on the job

None5%
Up to 1 month18%
1-3 months5%
3-6 months9%
6 months - 1 year18%
1-2 years18%
2-4 years23%
4-6 years5%

Related News

Recent articles about AI affecting this occupation

5 articles

AI Chip Boom Creates $900K Bonuses and Widens Tech Wealth Gap

South Korean semiconductor workers are seeing unprecedented windfalls as global demand for AI hardware skyrockets. This massive wealth concentration is sparking fears of a deeply divided workforce where only AI-adjacent hardware roles thrive.

Bloomberg Technology6d ago

Anthropic Backs AI Tool That Lets Non-Engineers Design Hardware

Schematik is bringing natural language programming to physical device design, allowing workers without traditional engineering backgrounds to build hardware. Anthropic is backing the initiative to expand AI's reach.

Wired AIApr 18

Claude Code Automates Hardware Engineering Verification

Developers are successfully using AI agents to automate complex hardware simulation and verification workflows. This demonstrates that AI coding assistants are moving beyond software into specialized electrical engineering tasks.

Hacker NewsApr 17

AI Lowers the Barrier to Chip Design, Reshaping Silicon Engineering Jobs

Startups are deploying AI to optimize software and design semiconductors, tasks that traditionally required highly specialized engineers. This automation threatens to commoditize elite hardware roles while opening the field to novices.

Wired AIApr 15

Meta Reorganizes Reality Labs, Signaling Potential Workforce Shifts

Meta is restructuring its Reality Labs division to accelerate execution, a move that typically precedes role eliminations or shifting priorities. Employees in the AR/VR space should brace for internal realignments as the company optimizes its hardware and metaverse teams.

The Information AIApr 15

Last scored March 14, 2026 · Based on BLS employment data and O*NET task analysis