Reviving the UX goal of empowering users | Writing in marketese kills marketing | Supposed impulse buying is often the result of months of building consideration | Honoring a human factors pioneer, Dr. John D. Gould of IBM | Prompting tip for small text fields: use Chinese

Advanced AI work is not a simple prompt-response loop. Users discover their goals through experimentation, interpret machine output through boundary objects, and refine intent over time. The future of AI-UX is not chat, but structured discovery.

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

Forward Deployed Engineers (FDE) can build powerful AI systems, but enterprise transformation requires more than technical deployment. Organizations need Forward Deployed Designers (FDD) who can map business outcomes, redesign decision rights, and convert AI capability into operational change.

Video about scope creep | Demis Hassabis on the present and future of AI | Humans and AI have different interpretations of words to denote probabilities | Very different reasons why people use AI versus the Internet | Google’s disappointing AI announcements

AI is not merely making designers faster at producing screens, prototypes, and research summaries. It is changing the object of design itself. The UX profession’s most valuable contribution stops being UI production and becomes the design of intent itself: defining what good means, encoding judgment into live systems, setting boundaries for agentic behavior, maintaining coherence across many parallel outputs, and preserving human purpose when software starts to act.

Case study of redesigning workflows for AI in computer game studios | Can you live 4 days without AI? | AI increases learning when used as a tutor and hurts when doing the exercises for the students | A streaming media platform for your job | DeepMind demos integration between voice input and pointing

Humans have been dreaming of thinking machines for more than 2,700 years, but real work on building them started in 1943 with the first neural networks. Progress during the following 80 years was slow, with many disappointments and “AI Winters,” but advances built up over time as compute scaled. Themes seen during this long history persist to this day.

New music video based on Moby-Dick | AI expands users’ tasks compared with traditional search, but provides narrower information results | AI dashboard visualizations help therapists spot trends hidden in session notes | How to elicit tacit knowledge to build AI workflows | A16Z awarding fellowships to design engineers

User researchers as role-playing game classes | AI posture recommendation feature in Huawei Pura 90 phones | AI helps teaching assistants provide better feedback to students | AI as a metacognitive coach | Recommending an entertaining short AI film | SpaceX’s plan for 100 TW orbital compute | New Chinese video model Happy Horse from Alibaba

Claude Design | AI Does User Testing | AI Use Crosses 50% | GPT-Images-2 | GPT 5.5 | DeepSeek 4 Summary: Claude Design should be used differently than canvas-based design tools | AI conducts user testing and can now see what’s happening on the screen | For the first time, more than 50% of employed Americans use AI at work | OpenAI recaptures leadership in AI image generation with new, highly accurate model | Two upgraded AI models, GPT 5.5 and DeepSeek 4

Employer encouragement predicts workplace AI adoption roughly 4x more strongly than training or tool provision alone. This 10-step playbook shows design leaders how to build a culture where AI adoption happens naturally, without mandates, surveillance, or wasted training budgets, while avoiding the cybersecurity pitfalls of “Shadow AI.”

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”

AI is saving time at scale, reshaping enterprise behavior, and exposing a new design problem: products must be built for uneven capabilities, uneven adoption, and an uneasy public. While macroeconomic data shows immense productivity gains and US enterprise dominance, micro-level metrics reveal usability flaws, job losses among juniors, and severe algorithmic trust issues.

Preschool robots build agency by reducing recovery time after failure | Multiple AI roles improve learning without flattening voice | Meta’s Muse Spark suggests the frontier race is shifting toward interface orchestration as well as raw model scale | Halter turns cattle management into a closed-loop AI system | GPT task horizon lower than Claude’s | Venture capital investments now even more dominated by AI

In a controlled field experiment, startups that redesigned end-to-end workflows around AI generated 90% more revenue than equally equipped peers that used AI mainly to speed up individual tasks.

OpenAI to emphasize usability | Integrated software | Comparing multi-shot AI video models | Grok’s image generation model receives an upgrade | AI use up in the workplace, and employees who use AI now worry less about losing their jobs to AI

AI can translate a single source across media, styles, and audience frames. That makes it possible to reuse core material in formats better suited to different platforms and audiences. Shakespeare’s Hamlet serves here as a case study in a wide range of AI media transformations.

Apple Computer 50 years anniversary | The New UX for AI | Excellent AI support chat from Substack | New reasoning image model: Luma Uni-1 thinks through what to draw | AI is more creative than humans and will likely get even more creative in the future with more compute | Upgraded AI music model Suno 5.5

AI is not just a better chat box. It changes the user’s role from operator to supervisor, which forces UX to move from command-based interaction toward intent-based delegation, new usability metrics, orchestration layers, calibrated friction, and ultimately exploration-based interaction to clarify the user’s needs.