How To AI With WSJ's Chris Mims

What It Covers

Wall Street Journal technology columnist Christopher Mims discusses his new book "How to AI," explaining how knowledge workers can practically integrate AI tools into their workflows. Mims covers machine psychology, why domain experts benefit most from AI, implementation strategies across legal, medical, and corporate sectors, and his philosophy of using AI to reduce workload rather than increase productivity.

Key Questions Answered

• •Machine Psychology Framework: Approach AI like cognitive psychology rather than trying to understand the underlying mathematics. Observe AI behavior, quirks, and outcomes the same way humans psychoanalyze each other. Domain experts who combine deep knowledge with curiosity about AI behavior become the most effective users, even without technical understanding of how models work.
• •Expert Advantage Principle: Experts gain more value from AI than beginners because they can evaluate AI output for accuracy and know exactly what questions to ask. A lawyer who has written thousands of wills can dictate specific requirements and catch errors, while amateurs produce buggy code or flawed documents. AI pushes cognitive labor toward experts who must review work created by less experienced users.
• •Minimum Viable Implementation: Start AI adoption by delegating least favorite tasks rather than attempting comprehensive integration. AI meeting transcription and summarization tools transform productivity across all fields. Doctors spend twenty percent of their time on data entry that AI can automate. Focus on eliminating tedious work before tackling core responsibilities to build familiarity and trust with the technology.
• •Capability Overhang Reality: Current AI models contain undiscovered capabilities that will take a decade to fully explore, even if development freezes today. Weekly improvements come from better integration with tools and APIs rather than just model upgrades. Claude excels at Excel by writing Python code instead of direct calculation. Different models serve different purposes, requiring users to maintain multiple AI services simultaneously.
• •Scientific Breakthrough Acceleration: AI already enables daily scientific discoveries across molecular medicine and synthetic biology. AlphaFold protein folding models made COVID mRNA vaccine development possible at unprecedented speed. Thousands of research presentations at scientific conferences now rely on AI to understand how proteins fold and genes translate, forming the foundation for pharmaceutical breakthroughs and future synthetic biology applications.