People trust AI more when it seems smarter rather than sentient. AI emotions can reduce trust in factual, task-oriented work and reduce AI reliability.
Hype happens when messaging becomes divorced from good experiences. Learning from the virtual reality hype cycle can help us avoid future distractions.
AI-simulated users can fill in missing data and predict population-level trends. They perform better when they are based on extensive contextual information.
Our study shows that generative AI is reshaping search, but long-standing habits persist. Many users still default to Google, giving Gemini a fighting chance.
A digital twin is a genAI-based model of a particular individual that can be used to predict both individual and population-level preferences and behaviors.
AI-generated review summaries extract qualitative key themes from customer feedback, helping shoppers quickly assess what purchasers think about the product.
Top product experts share four strategies for remaining indispensable as AI changes UI design, accelerates feature production, and reshapes data analysis.
AI is reshaping service design—no longer just a tool, it’s now an active agent. Future services must compete on how well they interact with AI, not just humans.
AI acts as a creative teammate in group settings as it does for solo work. Thoughtful facilitation ensures teams leverage AI effectively in workshops and critiques.
AI hallucinations threaten the usefulness of LLM-generated text in professional environments, but today’s LLMs encourage users to take outputs at face value.
