Andrew Wilkinson argues that advanced AI models have achieved AGI-like capabilities in programming. He quotes Anthropic's CEO, suggesting that the role of a programmer is shifting to that of an architect, and many current programmers are in denial because their paycheck depends on not understanding this shift.
To improve his management style, Wilkinson uses an AI tool to refine his communication. He can dictate his raw, unfiltered thoughts about an employee's performance, and a prompt called "a good boss" rephrases it into a toned-down, mature, and effective message.
Wilkinson fed his photo into ChatGPT Pro and asked for appearance advice. The AI recommended growing a beard and even gave specific grooming tips, like using tinted gel to cover a blank spot, demonstrating a highly personalized and practical use case for AI.
Wilkinson argues that the traditional moat for software—the high cost and difficulty of hiring programmers—has vanished. He compares it to a machine that makes perfect pizza cheaply: consumer quality rises, but business margins plummet. Lasting value must now come from other sources like brand or distribution.
To improve his fashion sense, Wilkinson created an automation that accesses a Google Sheet with photos of his clothes. Each morning, it checks the local weather, assembles complete outfits, generates images of him wearing them, and texts him the recommendations.
Frustrated with existing email tools, Wilkinson used Claude Code to build a web-based email triage system tailored to his exact workflow. This feat, which he compares to the years-long development of Superhuman, highlights the massive acceleration in software development enabled by AI.
Designers who previously relied on engineers can now use AI to build complete applications, moving at the "speed of thought." This empowers creatives who understand user experience to execute their visions end-to-end, making design and UX the new competitive moats over technical implementation.
Concerned about AI's potential to displace white-collar jobs, Wilkinson views investing in the underlying infrastructure as a key strategy. He specifically invested in a Bitcoin mining company pivoting to AI data centers, effectively buying into the "toll bridge" of the future to protect his capital.
Using Opus 4.5, Wilkinson built a tool that takes personality tests from him and his girlfriend to generate a deep relationship analysis. The tool accurately predicted their recurring arguments and now helps them build empathy by articulating underlying emotional triggers during disagreements.
Overwhelmed by emails from his kids' school, Andrew Wilkinson created an automation that ingests all school-related messages. The AI identifies crucial information like deadlines for field trips or packed lunch days, adds them to the family calendar, and sends him timely text alerts to prevent missed tasks.
Wilkinson's Lindy agent records and analyzes his meetings, flagging psychological tactics like narcissism or manipulation. If it detects red flags based on a high-bar analysis, it sends him a text alert, providing an objective second opinion on interpersonal dynamics and helping him vet business relationships.