# No, People Don’t Want More AI In Their Life AI features fail to attract expected interest as users resist change. - **Source:** [Smashing Magazine](https://www.smashingmagazine.com) - **Published:** 2026-07-15 - **Topic:** [Data & AI](https://brifing.si/c/data-ai) - **Original article:** - **On Brifing:** https://brifing.si/s/39afad90-d07c-45f4-889b-3031c6a7e400 ## The Real Need AI Addresses Many companies operate under the assumption that people want more AI in their lives. However, adoption rates for AI features remain low. Users are reluctant to embrace AI solutions that disrupt their workflows and require extra effort. Despite high implementation costs, these solutions often fail to deliver the expected value. ## AI Exposing Organizational Flaws AI tends to magnify weak points in organizations, such as data quality and decision-making processes. Years of technical debt and cultural issues become more visible with AI, leaving users to deal with inconsistencies. This visibility increases resistance to AI adoption. ## The Cost of AI Hallucinations Correcting faulty AI outputs adds extra workload for users. While generating a response with AI might seem easier than writing from scratch, reviewing and fixing errors can be time-consuming. This process calls into question AI's promised efficiency gains. ## Fear of Change and Resistance Messages about AI taking over jobs create deep anxiety among users, fueling resistance and slowing adoption. Users prefer solutions that enhance their existing workflows rather than forcing change. This mindset challenges the widespread push for AI integration. ## Meeting Real Needs with AI Users expect AI to automate mundane and repetitive tasks, but this requires deep integration into existing workflows. AI must adapt to users' thought and decision-making models, not the other way around. Without this alignment, AI solutions often fall short. ## The AI-Second Approach Successful AI tools adopt an 'AI-second' rather than 'AI-first' approach. These tools work quietly in the background, making users' tasks easier. Users want to experience the benefits of AI without constantly noticing its presence, highlighting the importance of subtlety. ## The Future of AI and User-Centricity AI's success hinges on addressing real user needs. Companies should focus on how AI features create value rather than just marketing them. Users expect AI to simplify their lives, not introduce complexity. The future of AI lies in meeting these expectations effectively. ## Sources covering this story - https://smashingmagazine.com/2026/07/people-dont-want-more-ai/ — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._