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 undergoing rapid transformation. Entry-level tasks may be automated, and career paths may look different in the near future.
AI Resilience Report for
They create unique visual ideas and solutions for various projects, from products to spaces, often combining art and function to meet specific needs.
This role is changing fast
The career of "Designers, All Other" is changing fast because AI tools are speeding up many routine design tasks like creating quick mockups and generating options. This means designers can explore more ideas in less time, making projects faster and more efficient.
Read full analysisLearn more about how you can thrive in your career
Learn more about how you can thrive in your career
This role is changing fast
The career of "Designers, All Other" is changing fast because AI tools are speeding up many routine design tasks like creating quick mockups and generating options. This means designers can explore more ideas in less time, making projects faster and more efficient.
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
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
Low 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
Designers, All Other
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
“Designers, All Other” is a broad category for many creative roles, so there isn’t a single AI that does all parts of their job [1] [2]. In practice, AI tools today mostly assist designers rather than replace them. For example, Adobe has added AI features in Photoshop and Illustrator that generate many design options from a prompt – letting artists “explore options in far less time” [3].
McKinsey notes that generative AI can cut product-design cycle times by roughly 70%, greatly speeding concept sketches and prototypes [4]. But these tools still need a human touch. Experts stress that designers’ creativity and judgment remain crucial – for instance, a designer must pick and refine the best concepts from the AI outputs to make a final product that really works [4] [3].
In short, current AI mainly handles routine or early-stage design work (e.g. quick mockups, layout ideas, or image edits), while humans do the high-level creative decisions.

AI in the real world
AI design tools are already widely available and affordable (many integrated into existing software), which encourages quick adoption. Creative industry leaders are optimistic: a recent survey found 97% of design managers see AI having a positive impact and 100% believe it will improve workflow efficiency [5]. These productivity gains (like far faster mockup iterations [4]) can lower costs and accelerate projects, pushing firms to try AI.
On the other hand, adoption may be slower in some cases due to training costs, legal/ethical concerns, and the importance of human creativity. For example, companies are still grappling with copyright and fairness issues around AI-generated work [3]. Importantly, most experts view AI as a tool that frees designers from boring chores so they can focus on creative vision – not as a replacement.
As Adobe’s chief product officer put it, AI helps artists “achieve more explorations in less time” by handling mundane tasks, while designers keep full control of the creative process [3] [4]. In summary, AI is being adopted across design fields, but it augments rather than replaces human skills. Young designers can take heart: their creativity, judgment, and empathy – qualities AI can’t replicate – will remain in high demand even as tools evolve.

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Median Wage
$66,220
Jobs (2024)
28,600
Growth (2024-34)
+2.0%
Annual Openings
2,200
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034

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