AI is disrupting more than the software industry, and is doing so at a breakneck speed. Not long ago, designers were deep in Figma variables and pixel-perfect mockups. Now, tools like v0, Lovable, and Cursor are enabling instant, vibe-based prototyping that makes old methods feel almost quaint. What's coming into sharper focus isn't fidelity, it's foresight. Part of the work of Product Design today is conceptual: sensing trends, building future-proof systems, and thinking years ahead.
Some features thrive with structured data (to which I also count structured feeds). Pricing, shipping, availability for shopping is basically impossible to read in high fidelity & accurately from a text page, for example. Of course the details will change though - which is why it's important to use a system that makes it easy to adapt. Other features could theoretically be understood from a page's text, but it's just so much easier for machines to read machine-readable data instead of trying to understand your page (which might be in English, or in Welsh, or ... pick any of the 7000+ languages). Some visual
Yes, the shopping crawler has to consume shopping structured data incredibly fast so it has up-to-date pricing, inventory, availability and so forth for the Google Shopping Graph. Because of the speed and quanity of feeds it needs to consume over-and-over again, it does not have time to wait for JavaScript to dynamically generated the structured data.
Google released Gemini 3, which is now powering AI Mode for some queries. Nano Banana Pro is out and it is also used in Google Search and Google Ads. Google released a number of new AI Mode features, including agentic applications. And, Google promoted its AI Opal tool to create AI-generated content in a scalable way - yeah, hard to accept.