UI/UX Articles and Interesting Tidbits of the Week
August//1//2025
Here are some interesting finds on UI/UX of the past week!
1.
Are AI Jobs Booming or Overhyped. Insightful and pertinent article from Glassdoor and author Chris Martin on the topic of AI job postings. Glassdoor lists a series of different types of positions, and as the article details, the number of AI driven roles increased dramatically from 2023 to 2024 (123%), but less from 2024 to 2025 (53%). The article clarifies that many of these positions are tightly interwoven with the usage of LLM, and that while some specific type of research roles do appear and are highly sought after, most of the AI roles don’t fall under this category. It’s an interesting article that may dispel some notions that are created surrounding AI driven roles. Highlight of the article includes:
“AI-exclusive jobs would not exist in a world without LLMs. These include researchers that develop new models and roles specifically attached to training these models. AI research roles are hyper-specialized and there are not a great deal of them. The market for AI researchers is like the market for professional athletes: there is a limited pool of seasoned talent, and a small number of employers compete over them with mind-boggling contracts. On the other end of the spectrum, AI training jobs often require specific expertise that has nothing to do with AI. For example, one recent job posting required an advanced degree in history to train LLMs on methods for historical research and to test the validity of AI-generated historical claims. These jobs are often contract or gig positions, and only a few dozen companies hire for them. These roles may be a flash in the pan even in a world where AI transforms the labor market, but they fit in the category of roles that would not exist without LLMs.”
2.
Keyboard Traps and Web Accessibility. I’m always making a strong case for Accessibility, and one of the best blogs regarding this topic is the A11Y Collective. This recent article from theirs tackles keyboard traps, essentially when a user can’t move away from an interactive element on a page. The article provides recommendations on avoiding situations such as these (traps that is) across various elements that populate a web driven product namely, Media players, Form elements, Hyperlinks. The article also documents how to test Keyboard traps providing some solid recommendations on basic testing. Worth reading. Highlight of the article includes:
“Date pickers and other complex form components frequently create keyboard traps. These elements often capture all keyboard events rather than just the specific keys needed for their functionality. When a keyboard user opens a date picker, they may find themselves unable to exit using the standard Tab or Escape keys.”
3.
https://blog.box.com/how-barnett-capital-sped-underwriting-60x-metadata-extraction
Speeding Up Underwriting. Interesting article from the Box.com blog (the authors still haven’t caught up with creating images that are shareable when their articles appear in platforms such as Medium and other social media outlets), detailing how Barnett Capital transformed their underwriting process (for real estate loans), by introducing metadata extraction when documentation is uploaded through a process that integrates smoothly with Box. While this may seem a niche situation, it’s an example of how AI and LLM are impacting the processing of tasks that are cumbersome and fastidious, particularly when it involves a substantial amount of data. Worth reading through. Highlight of the article includes:
“Now, Barnett Capital is working on transitioning how they onboard customers. With the initial loan application on the company’s website linked to Box Forms, when customers submit their initial loan applications, the information will go straight into Box. The data extracted gathered via Box Forms will then be translated into Word tables for underwriting review. With Box Doc Gen and Box Relay, the process will also trigger various actions based on form responses, helping dynamically tailor workflows Nikolich also shared plans the team has for streamlining signature-gathering so that files will remain organized exactly as needed throughout the lifecycle of a deal. No matter who picks up a file or steps into the process, this will create a clear, efficient way to surface business-critical information.”
