New music video about hedonic adaptation | AI better at some forms of knowledge work than at others | AI increasingly used for sensemaking among corporate users | Users want to approve certain autonomous actions | For exploratory creation, a branching UI beat the traditional linear chat interface to the AI backend model | Base-rate neglect: one vivid anecdote outweighs a thousand statistics | The ***** UI for user ratings | Experimental system connects specific words in the u

Show a progress indicator when response time exceeds 10 seconds, preferably as a percent-done bar. It tells users two things: the system heard you, and here’s how long the ordeal will last. But never let the bar stall, lie, or reset. AI agents that work for hours have raised the stakes: progress indicators must now serve users who walked away. Follow the 12 design guidelines in this article.

Agent-ready web design lifts AI task success | Shoppers now pick AI assistants over brand websites, 41% to 38% | Learn from reality: build and iterate | AI getting better at business strategy, but still not good enough to run your company | AI raised the floor but lowered the ceiling in children’s storytelling | Infinite canvas as a UI space for organizing and collaborating on unstructured information | My Hero: Scott McCloud, comic book artist and theorist | AI animates clas

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 agents expand user tasks | Agentic AI makes expertise more valuable, not less | Users need control over the complexity of AI results | Constraints help users | Meta launched a new image model, Muse Image | ByteDance upgrades its image model to Seedream 5 Pro | Comparing the leading image models | GPT receives a major upgrade to v. 5.6 Sol

Halfway through 2026, AI is evolving faster than expected, but usability is struggling to keep pace. I graded my 18 predictions on autonomous agents, compute shortages, and interface design to separate the hype from reality.

Can humans remain in control with superintelligent AI (ASI)? | Dark design music video redone | What are normal people saying about AI? | My hero: Dr. John M. Carroll of IBM Research | Finally, a hotel room shower makes it easy to adjust temperature | How designers use AI vs. what they say about AI | Explosive growth in use of agentic AI among non-developers | Check whether major AI models know you

DeepMind outlined 4 paths to superintelligence: scaling, paradigm shifts, recursive self-improvement, and multi agent collectives. I explained this dense 57-page report in a 31-page comic book, including a section on the UX implications.

The two most conversion-killing ecommerce usability fails | Social media use remains strong but the platforms are becoming less about connecting with other people | The usability of overseeing AI agents | Team-building image idea: design video game characters | Professor Ben Shneiderman was one of the greatest early pioneers of user experience | Seedance 2 as PC software concept

Translating social media posts by default makes online communities international | Indian film studios embrace AI | AI summaries rescue users from context decay | AI agents now account for almost as much website traffic as human search | Software customers demand agent-first design | “You Are Not Talking to Somebody Who Woke Up a Loser”

Summary: Books dominated by Old UX instead of new UX | How Adam Smith predicts AI will turn out for the economy | Chinese sci-fi video made with Seedance 2 | The 5 levels of AI agency UX Roundup for March 16, 2026 (Nano Banana Pro) Old UX Dominates in New Books; New UX Too Rare Vitaly Friedman published a list of 21 new books about UX (including some online sources). It’s a useful service to list them all in one place, and several of these new books look interesting, judging

Summary : New video with 2026 predictions for AI & UX | AI analyzing usability test recordings | Character consistency still difficult | Google DeepMind documentary film | Amazon’s ecommerce agent Rufus does well | AI renews drug prescriptions | Problems using Mechanical Turk for user research UX Roundup for January 19, 2026. (Nano Banana Pro) 2026 Predictions: The Music Video The article with my 18 predictions for AI and UX in 2026 is very long (almost 10,000 words), so I

Summary: Accelerating AI capabilities will shift focus from raw intelligence to autonomous agents and Generative UI, making UX the primary business moat. Multimodal integration and physical AI will revolutionize workflows, rendering static interfaces and single-purpose tools obsolete. However, progress faces hurdles like compute shortages and a widening class divide between premium and free-tier users. Let’s peek into Jakob’s crystal ball to see what’s ahead for 2026. (Nano B

Summary: AI disrupted UX practice across multiple vectors: research methodology, interface ontology, temporal dynamics, economic structures, and distribution channels. UX professionals must reconceptualize their discipline from artifact-centric design toward orchestrating intent-driven systems while cultivating individual agency as the primary professional competency. (Nano Banana Pro) I published about 330,000 words across 100 articles on UX Tigers in 2025 (including this

Summary : How People Use AI for professional and creative jobs | AI conducts user interviews at scale, converting qualitative quotes to quant data | When and how to hire the first designer in a startup company | Prompt engineering debunked: Don’t specify a mastery persona | Longitudinal user research needed to judge AI agent usability | A new generation of power turbines may meet the need for AI electricity | GPT 5.2 132% better than human experts on economically valuable tas

Batch processing returns as AI agents run for hours or days, eliminating traditional turn-taking interaction. Slow AI creates control and observability problems; users forget context during long waits. UX solutions include upfront clarification, explicit run contracts, checkpointing for recovery, conceptual breadcrumbs showing reasoning, and progressive disclosure of partial results.

Summary: AI-First means massive automation to repetitive tasks, rapid iteration over perfection, ubiquitous AI integration across...

Summary : Usability testing as theater | Too many applications | Less Is More | Illustrations vs. photos | Love the problem, not your...

New tech capabilities create the opportunity for people to do new things | Breadcrumbs | Use ChatGPT image mode to create viral thumbnails | Startup companies increasingly being driven by AI | Enterprise AI | Changing from design thinking to design doing

Reserve hamburger menus for small-screen designs | AI agents must remain under user control | One app per thing in your life = app overload | Images stand out on web pages | Overusing modal dialog boxes