The Design Problem We Call User Resistance
Recent research analyzing 63 studies reveals that what we call "user resistance" to technology isn't about fear of change—it's valuable feedback about design failures that make work harder, strip away meaningful judgment, ignore human workflows, and break essential collaboration.
Beyond ChatGPT: How Specialized AI Models Change the Economics of Business Automation
Successful AI implementation isn't about choosing the most advanced technology—it's about matching tools to actual business needs through systematic experimentation and optimization.
The False Promise of AI Deregulation
The House's proposed decade-long ban on state AI regulation creates a dangerous oversight vacuum just when we need thoughtful rules to ensure AI systems serve human needs rather than exploit our vulnerabilities.
The Stakeholder Alignment Problem in Healthcare AI
As healthcare AI systems become increasingly autonomous, the real risk isn't technical failure but successful optimization for misaligned objectives.
The Creation Problem: How Social Platforms Disincentivize Production
Social platforms profit from consumption while systematically creating barriers to creation—revealing a structural misalignment between business models and human creative drive.