Web and Digital Interface Designers

Design digital user interfaces or websites. Develop and test layouts, interfaces, functionality, and navigation menus to ensure compatibility and usability across browsers or devices. May use web framework applications as well as client-side code and processes. May evaluate web design following web and accessibility standards, and may analyze web use metrics and optimize websites for marketability and search engine ranking. May design and test interfaces that facilitate the human-computer interaction and maximize the usability of digital devices, websites, and software with a focus on aesthetics and design. May create graphics used in websites and manage website content and links.

The occupation "Web and Digital Interface Designers" carries a base automation risk of 60.0%, indicating that a majority of job functions face the possibility of being automated in the coming years. This elevated risk level is primarily due to the increasing sophistication of AI-driven design tools and collaborative platforms that can automate routine or process-driven aspects of digital interface development. For instance, many design platforms now incorporate AI features such as automated layout suggestions, code generation, and content integration, which can handle repetitive or templated work previously performed by human designers. As these tools become more prevalent, tasks that involve standardized inputs and outputs are increasingly likely to be completed quickly and efficiently by automation, raising the overall risk score for the profession. The tasks most susceptible to automation for this role include collaboration-based activities that involve integrating strategies across e-commerce, web development, and network management. Specifically, collaborating with management or users to develop and integrate e-commerce strategies, working with web development professionals to see through the technical scope of web projects, and communicating with network or hosting personnel to resolve hardware or software issues are all tasks that follow established protocols and procedures. Automation technologies—like workflow management systems, AI project management assistants, and automated network diagnostic tools—can streamline these collaborations, reduce the reliance on manual coordination, and address issues at scale without extensive human intervention, thereby increasing their automatable potential. On the other hand, several core tasks remain relatively resistant to automation due to their reliance on creativity, deep domain expertise, and adaptive problem-solving. Writing supporting code for web applications, composing and editing technical documentation, and selecting appropriate programming languages and tools are all tasks that require nuanced judgment, up-to-date technical knowledge, and the creative synthesis of information. These tasks are less amenable to automation because they often involve dynamic decision-making and innovation, areas where AI is still limited. Critical bottleneck skills for minimizing automation risk in this occupation include advanced programming proficiency, high-level technical writing abilities, and the discernment to choose and integrate the best design tools for each project—skills typically found at intermediate to expert levels. These advanced competencies create a barrier to automation, ensuring that complex, creative, or highly specialized aspects of digital interface design remain the province of skilled professionals.