Comparing GPT 5.6 Sol, Opus 5, Kimi K3 | How designers use a UI design agent | AI enhances users’ agency, and they like it | Breadcrumb navigation | UX Hero Doug Engelbart | The decoy effect in pricing plan comparison pages | The paradox of the Active User | Delhi High Court rules that AI training on copyrighted content is legal in India

Carousels are scanned in an L-pattern, not the F-pattern | Making AI-Native games playable | Bulk actions support flexibility and efficiency of use | AI film wins a bronze lion at the Cannes Festival | Users remember the peak experience and the end | Use of AI applications doubled in one year

AI narrows skill gaps by helping weak performers the most. Employers are reacting: hiring in AI-exposed job categories now weights human capital 7.8% less and price 1.1% more than before ChatGPT and the demand premium for highly skilled workers is shrinking. Competence has become commodity, so sell judgment. Agentic AI will reverse the equalization and widen skill gaps again.

AI use becoming more localized, according to Gemini data from Southeast Asia | Heavy AI use in a company increases hiring, not layoffs | Winners of the AI Film Festival awards | The inventor of hypertext, Ted Nelson | Helping users recover from errors | AI drones help replant the rainforests | Annotations seem a simple feature, but are often designed wrong | Token use is going through the roof with agentic AI

How AI “skills” are reused and other usability issues with skills | User research job listings for junior staff dry up, and senior staff need AI experience to be hired | Data comics generated with AI increase student learning | Quick view as a shortcut for seeing product info | The AI economy has $175 billion in revenue | AI use spreads from peers | Automatically creating advertisements based on a website

In 1993 and 1996, I predicted that user interfaces would abandon commands: computers would infer and execute user intent instead of obeying point-and-click orders. Modern AI delivered that paradigm, 30 years later. Scoring the papers’ 23 specific predictions against 2026 reality produces a decent grade: 71% correct. The biggest hit: language as the primary interface. The biggest miss: I predicted expert users, and AI instead became the great equalizer.