But here’s the uncomfortable truth: salaries aren’t set by fairness. If they were, teachers and nurses would be paid a lot more than they are, and hedge fund managers would almost certainly be paid a lot less. Instead, salaries are set by markets — and by the business value and responsibility a role carries.
Artificial Intelligence (AI) is, in fact, becoming ubiquitous in our daily lives, and it’s no longer a novelty. The magic will, of course, then happen behind the curtain. The best AI features won’t shout with flashy “AI-Powered” badges. Instead, they’ll quietly make products smarter, faster, and more intuitive, so that the user doesn’t even notice.
One of the top requests for Figma Make is the ability to bring generated ideas directly into Figma Design, so that they can be shaped, remixed, and built on in the canvas. Our goal is for Make outputs to be fully editable, contextual, and native. No extra steps naming, exporting, or switching modes. Copy design is the first step toward that vision. Now, teams can bring their Make previews into…
Scaling uploads isn’t just about adding storage; it’s about keeping your app fast, secure, and affordable.
Oliver Muñoz shares how leading creative teams across borders is less about control and more about trust, collaboration, and shaping digital experiences that transcend time zones and cultures.
Creating motion can be tricky. Too much and it’s distracting. Too little and a design feels flat. Ambient animations are the middle ground — subtle, slow-moving details that add atmosphere without stealing the show. In this article, web design pioneer Andy Clarke introduces the concept of ambient animations and explains how to implement them.
Every now and then I get an odd tendency to just go off and make something. It’s why I made a typeface. It’s why I made a mobile music app. And it’s why I made another mobile app, It Makes Noise.
Convert, generate OKLCH colors, and create a unique color palette for your next app.
I write, to think. More than anything this essay is an attempt to think through a bunch of hard, highly speculative ideas about how AI might unfold in the next few years. A lot is being written about the impending arrival of superintelligence; what it means for alignment, containment, jobs, and so on. Those are all important topics.
Here’s a nutty idea: designing terrible solutions makes you a better designer. I know that sounds backwards. Designer portfolios share only the most pristine of examples. And we’re taught about efficiency and time savings. Best practices tell us to move fast, fail fast, and get to good solutions quickly. So why waste your time thinking about the worst possible option?
