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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
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.
Limited data sources are available, or existing sources show notable disagreement on the outlook for this occupation.
Contributing sources
Designers, All Other are less resilient to AI impacts than most occupations, according to our analysis of 4 sources.
Designers in the "All Other" category are labeled as "Not Very Resilient" because many of their routine tasks, like creating quick mockups or editing images, are being automated by AI tools. This means that while AI can handle early-stage design work quickly and efficiently, the need for human creativity and decision-making is still crucial for high-level design.
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Learn more about how you can thrive in this position
This role is not very resilient
Designers in the "All Other" category are labeled as "Not Very Resilient" because many of their routine tasks, like creating quick mockups or editing images, are being automated by AI tools. This means that while AI can handle early-stage design work quickly and efficiently, the need for human creativity and decision-making is still crucial for high-level design.
Read full analysisAnalysis of Current AI Resilience
Designers, All Other
Updated Quarterly • Last Update: 2/17/2026

“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 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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They create unique visual ideas and solutions for various projects, from products to spaces, often combining art and function to meet specific needs.
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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