Citing 'Halt and Catch Fire,' the goal of technology should be to create resonant experiences that enrich life. The focus should be on computing as "the thing that gets you to the thing," rather than getting obsessed with the technology for its own sake.

The goal of emotional design extends beyond creating satisfaction. Its true power lies in fostering self-affirmation and empowerment. Products that resonate on this deeper level make users feel more capable and actualized, creating a powerful, lasting bond that pure functionality cannot achieve.

Product design often targets a mythical "average" person, which means it serves no one perfectly. Superior design, like HumanScale's Freedom chair, adapts automatically to the individual user's weight and shape, providing tailored support without manual adjustments.

A key risk of AI is the atrophy of human skills like judgment and taste. Instead of optimizing solely for efficiency, product teams should design AI-powered workflows with intentional friction that encourages users to practice and develop their core competencies, preventing them from becoming mere QA checkers for an algorithm.

Jony Ive added a handle to the iMac not for portability, but to make intimidating technology feel friendly. By encouraging users to touch the machine, it created an emotional relationship and gave them 'permission' to interact, overcoming the fear many felt towards computers at the time.

The common feeling of needing to 'detox' from a phone or computer is a sign of a broken user relationship. Unlike a sofa, we can't simply replace it. This aversion stems from devices being filled with applications whose incentives are not aligned with our well-being, a problem AI will amplify.

Shift the AI development process by starting with workshops for the people who will live with the system, not just those who pay for it. The primary goal is to translate their stories and needs into tangible checks for fairness and feedback before focusing on technical metrics like accuracy and speed.

As AI automates technical design tasks, the uniquely human ability to understand user psychology becomes a critical, defensible differentiator. This deep understanding is necessary for engineering user habits and genuine connection, something AI cannot yet replicate authentically.

AI can generate designs but fundamentally lacks human empathy. This creates risks of bias and generic solutions. "Designing consciously" requires keeping humans in the loop to validate insights, double-check sources, and ensure the final product truly serves user needs.