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AI

A collection of 20 issues

How to Design Trust Into AI Systems (It’s Not What You Think)

Trust isn't a feeling users have about AI—it's designed infrastructure. Learn the five vectors of AI trust (Clarity, Control, Consistency, Disclosure, Repair) that enable systematic human-AI collaboration at scale.

How to Lead Design in the AI Era: My New Book is Here

Stop fearing AI displacement. Learn how design leaders can become essential to organizational intelligence with the AI+ framework for strategic relevance.

The Hidden Logic Layer: Where AI Design Actually Happens

Every AI+ system has a hidden logic layer that governs how it behaves—determining what data gets included, how uncertainty is expressed, and when to escalate to humans. This invisible layer, not the interface, is where AI design actually happens and competitive advantage is built.

The Hidden Cost of +AI Thinking

Organizations spending millions on AI implementations are seeing disappointing adoption rates while companies using AI+ approaches achieve widespread adoption. The difference isn't the technology—it's the design thinking. Most treat AI like traditional software, optimizing for the wrong outcomes.

The Biggest AI Mistake Design Leaders Are Making Right Now

Most design teams add AI the way they added dark mode: as a feature to check off. This “+AI” trap layers chatbots or summary buttons onto old systems. Users may see short-term gains, but without rethinking architecture, AI stays unintegrated—present yet untrusted, useful yet disconnected.

From SaaS to Service-as-Software: Designing the Next Generation of AI-Native Experiences

SaaS brought us access and scale. Service-as-Software is bringing outcomes, and with it, a new design imperative.

The Browser Is Waking Up

Browsers are no longer passive. Agentic AI is turning them into proactive partners, shifting what users expect and how products deliver. Design leaders must now rethink UX for systems that act, not wait.

Agent UX (AUX): Designing for the Next User

AI agents are no longer tools...they are users. Agent UX (AUX) is the emerging discipline of designing for both humans and intelligent agents. If we do not design for agents, we are designing for obsolescence. The future of UX is not just human-centered. It is agent-aware.

The Next Social Network Is Not What You Think

OpenAI's new social platform signals a shift from tool-based AI to shared environments where humans and intelligent agents interact, learn, and evolve together in real time. This marks the beginning of the Agent Era.

Designing for Trust: Why Explainability Alone Falls Short in AI

Trust in AI is not built solely through explanations. It is earned through consistency, relevance, and ethical design. Explainability helps, but trustworthiness must be designed system-wide, not assumed.