AI products are moving beyond static interfaces to create adaptive loops that personalize the user experience from the very beginning.
Tools like Notion AI and Spotify DJ demonstrate how artificial intelligence can summarize information and personalize content in real-time.
An AI system can be designed like a beehive, with distributed intelligence and global harmony governed by rules, flows, and signals.
By analyzing user actions like clicks, drop-offs, and retries, AI can detect friction and proactively suggest solutions like splitting large tasks.
Contextual signals like time of day, device, and calendar status can trigger automated actions like enabling focus mode or summarizing tasks for the next day.
AI can learn from user micro-decisions, such as reordering dashboards or choosing detailed views, to create a personalized and persistent layout.
Integrating external data like weather forecasts or market trends allows AI to be resilient and proactively adjust schedules or plans.
Examples from Klarna, Google, and Air Canada show how optimizing for speed over human experience can lead to customer distrust and business failure.
AI should be viewed as a tool that complements human skills, where the combination of data-driven intelligence and human empathy creates the best outcomes.
Jobs that call for the skills explored in this talk.