AI resilience estimate
Your role appears to have useful advantages alongside tasks that may change. Start with one practical experiment.
Higher means more resilience in this estimate. This is not a percentage chance of keeping or losing your job.
Start with one repeatable task. The review below helps you separate routine steps from decisions that need your attention.
Look for moments that need context, trust, or a careful decision. Describe one, then consider what a good outcome would look like.
Based on your role and 4 tasks you described. Your employer’s plans and local job market are not known.
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Read the reasoning and the six factors.
This is the saved reasoning from an earlier version of the assessment. Its claims were not independently verified. New assessments use the revised method linked below.
Higher means more resilience in this estimate. The weights show each factor’s share of the total. A score of 50 can mean information is unknown; read the note alongside it.
35% of the total
AI can now generate basic wireframes, landing pages, and analyze quantitative user data. However, the strategic aspects—understanding user needs through qualitative research, making design decisions that balance business goals with user experience, creating cohesive design systems, and facilitating stakeholder alignment—remain largely human-dependent. Approximately 35-40% of routine tasks (basic layouts, data visualization, asset generation) are becoming automatable, but the core strategic and empathetic work remains resilient.
20% of the total
AI progress in design is rapid but focused on execution rather than strategy. Tools like Midjourney, Figma AI, and GPT-based design assistants are advancing quickly for asset generation and layout suggestions. However, AI still struggles with understanding nuanced user contexts, cultural sensitivity, accessibility considerations, and the strategic trade-offs inherent in product design. The advancement is significant but not yet threatening the core strategic and research-driven aspects of UX.
15% of the total
Software development companies are adopting AI design tools moderately, primarily as augmentation rather than replacement. Small to mid-sized companies (like the 11-50 employee range) are experimenting with AI tools but still heavily rely on human designers for strategic decisions, user research, and maintaining design quality. The adoption is accelerating but tempered by the need for human oversight, brand consistency, and the complexity of real-world user needs.
15% of the total
UX design has strong human advantages: empathetic user research requires reading between the lines of what users say versus do; creative problem-solving demands understanding business constraints and user needs simultaneously; stakeholder management requires emotional intelligence; and ethical design decisions (accessibility, inclusivity, dark patterns) require human judgment. These factors create a significant moat against full automation.
10% of the total
With 10 years of experience, this professional has highly transferable skills: user research translates to product management, service design, or UX research roles; visual design skills apply to brand design or marketing; analytical abilities transfer to data analysis or product strategy; and cross-functional collaboration skills are valuable across many roles. The experience level provides strong optionality for pivoting to adjacent, AI-resilient positions.
5% of the total
Market demand for UX designers remains strong as digital transformation continues across industries. Job postings for UX roles are growing, particularly for senior designers who can work strategically. Salaries remain competitive, and the shift toward digital-first business models ensures continued need for user-centered design expertise. However, demand is shifting toward designers who can demonstrate business impact and work with AI tools, rather than purely execution-focused roles.
This is the saved reasoning from an earlier version of the assessment. Its claims were not independently verified. New assessments use the revised method at https://www.ai-proof.me/methodology.
Higher means more resilience in this estimate. The weights show each factor’s share of the total. A score of 50 can mean information is unknown; read the note alongside it.
35% of the total
AI can now generate basic wireframes, landing pages, and analyze quantitative user data. However, the strategic aspects—understanding user needs through qualitative research, making design decisions that balance business goals with user experience, creating cohesive design systems, and facilitating stakeholder alignment—remain largely human-dependent. Approximately 35-40% of routine tasks (basic layouts, data visualization, asset generation) are becoming automatable, but the core strategic and empathetic work remains resilient.
20% of the total
AI progress in design is rapid but focused on execution rather than strategy. Tools like Midjourney, Figma AI, and GPT-based design assistants are advancing quickly for asset generation and layout suggestions. However, AI still struggles with understanding nuanced user contexts, cultural sensitivity, accessibility considerations, and the strategic trade-offs inherent in product design. The advancement is significant but not yet threatening the core strategic and research-driven aspects of UX.
15% of the total
Software development companies are adopting AI design tools moderately, primarily as augmentation rather than replacement. Small to mid-sized companies (like the 11-50 employee range) are experimenting with AI tools but still heavily rely on human designers for strategic decisions, user research, and maintaining design quality. The adoption is accelerating but tempered by the need for human oversight, brand consistency, and the complexity of real-world user needs.
15% of the total
UX design has strong human advantages: empathetic user research requires reading between the lines of what users say versus do; creative problem-solving demands understanding business constraints and user needs simultaneously; stakeholder management requires emotional intelligence; and ethical design decisions (accessibility, inclusivity, dark patterns) require human judgment. These factors create a significant moat against full automation.
10% of the total
With 10 years of experience, this professional has highly transferable skills: user research translates to product management, service design, or UX research roles; visual design skills apply to brand design or marketing; analytical abilities transfer to data analysis or product strategy; and cross-functional collaboration skills are valuable across many roles. The experience level provides strong optionality for pivoting to adjacent, AI-resilient positions.
5% of the total
Market demand for UX designers remains strong as digital transformation continues across industries. Job postings for UX roles are growing, particularly for senior designers who can work strategically. Salaries remain competitive, and the shift toward digital-first business models ensures continued need for user-centered design expertise. However, demand is shifting toward designers who can demonstrate business impact and work with AI tools, rather than purely execution-focused roles.
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