Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They create and improve products like cars, home appliances, and gadgets to make them look good and work well for people.
This role is evolving
This career is labeled as "Evolving" because AI is becoming a helpful tool for commercial and industrial designers, speeding up tasks like generating design ideas and gathering data. However, human creativity and judgment are still essential for choosing the best designs and making final adjustments.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is evolving
This career is labeled as "Evolving" because AI is becoming a helpful tool for commercial and industrial designers, speeding up tasks like generating design ideas and gathering data. However, human creativity and judgment are still essential for choosing the best designs and making final adjustments.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Anthropic's Observed Exposure
AI Resilience
Based on observed patterns of how Claude is being used across occupational tasks in real conversations
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Medium Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Commercial & Industrial Designers
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
AI tools are already helping industrial and commercial designers with creative work. For example, generative AI can quickly produce concept images or packaging designs for review [1] [2]. This means designers can explore many more ideas in less time.
One study found design teams could cut their development time by up to 70% using AI tools [1] [2]. But these tools only assist: human designers still pick the best ideas and fine-tune them. For instance, a designer might use AI to generate dozens of design variations, then a person checks the customer’s needs and adjusts the final design [2] [3].
Physical work like building a model or testing product safety remains mostly manual (using drafting tools, CAD software, and 3D printers, not full AI) [3] [2]. Even when AI helps gather market or user data faster [1], people still interpret the results. In short, AI is a powerful assistant: it speeds up sketching and idea testing, but it “cannot replace human expertise” [1] [2].

AI in the real world
Many companies see AI as useful because the tools are easy to access. Free or low-cost AI services (like image generators and chatbots) let designers experiment without big investment [2]. Industry data also shows that design jobs are expected to grow only about 3% over the next decade [3], so firms may favor making each designer more productive with AI.
Big gains are expected: for example, generative AI could unlock up to $60 billion in new productivity for product design and research [2] [1]. These potential benefits encourage quick adoption. However, creative fields are careful too: some worry AI might copy existing styles or lose the “human touch” in design [2] [2].
Ethical and legal concerns (like using copyrighted art in AI training) also add caution. Overall, experts say AI will handle routine parts of design, but humans remain crucial. As one report notes, AI tools are powerful but still “cannot replace human expertise” [1] [2].

Help us improve this report.
Tell us if this analysis feels accurate or we missed something.
Share your feedback
Navigate your career with COACH, your free AI Career Coach. Research-backed, designed with career experts.
Median Wage
$79,450
Jobs (2024)
30,600
Growth (2024-34)
+3.2%
Annual Openings
2,500
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Investigate product characteristics such as the product's safety and handling qualities, its market appeal, how efficiently it can be produced, and ways of distributing, using and maintaining it.
Fabricate models or samples in paper, wood, glass, fabric, plastic, metal, or other materials, using hand or power tools.
Present designs and reports to customers or design committees for approval and discuss need for modification.
Participate in new product planning or market research, including studying the potential need for new products.
Confer with engineering, marketing, production, or sales departments, or with customers, to establish and evaluate design concepts for manufactured products.
Read publications, attend showings, and study competing products and design styles and motifs to obtain perspective and generate design concepts.
Develop manufacturing procedures and monitor the manufacture of their designs in a factory to improve operations and product quality.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

© 2026 CareerVillage.org. All rights reserved.
The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.
Built with ❤️ by Sandbox Web
The AI Resilience Report is governed by CareerVillage.org’s Privacy Policy and Terms of Service. This site is not affiliated with Anthropic, Microsoft, or any other data provider and doesn't necessarily represent their viewpoints. This site is being actively updated, and may sometimes contain errors or require improvement in wording or data. To report an error or request a change, please contact air@careervillage.org.