The people do not yearn for automation

2026-04-24 · Source: Simon Willison's Weblog · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Fundamental Awareness, quick

Summary

Nilay Patel's essay, "The people do not yearn for automation," published on April 24, 2026, investigates the public's aversion to AI despite the increasing adoption of tools like ChatGPT. Patel argues that individuals with "software brain"—those who view the world primarily through the lens of automation, information flows, and data—are becoming increasingly disconnected from the general populace. He contends that while AI facilitates widespread automation in business, it fails to account for the complexities of human experience, which cannot be fully captured in databases or reduced to automated loops. This flattening effect, where human creativity is supplanted by automated processes, is identified as a primary reason for public resentment towards AI, highlighting a fundamental disconnect between tech-driven automation goals and everyday human desires.

Key takeaway

For product managers developing AI-driven solutions, recognize that the general public does not inherently desire automation. Focus on enhancing human capabilities and experiences rather than simply replacing them with automated processes. Prioritize solutions that augment creativity and address genuine human needs, rather than imposing a "software brain" perspective that flattens complex interactions into data points.

Key insights

Public dislike of AI stems from its "software brain" tendency to flatten human experience into automatable data.

Principles

• Not everything is a business or a loop.
• Human experience resists database capture.

Topics

• AI Public Perception
• Automation Resistance
• Software Brain
• Human Experience
• Smart Home Automation

Best for: Product Manager, AI Ethicist, AI Product Manager, Tech Journalist

Related on AIssential

• What People Really Want From AI — Hopes and fears about AI coexist within individuals, reflecting nuanced, often personal motivations and concerns.
• Why AI hasn’t replaced software engineers, and won’t — AI won't cause mass software engineering layoffs because core tasks require deep human understanding beyond code generation.
• People Hate AI Even More Than They Hate ICE, Poll Finds — Public sentiment towards AI is predominantly negative, with many users disliking its societal impacts despite personal use.
• Why Smart People Can’t Agree on Whether AI Is a Revolution or a Toy — AI perception is shaped by individual experience, leading to honest but divergent views among enthusiasts and skeptics.
• Research indicates that the resistance to AI is not merely a matter of technological skepticism but is rooted in the preservation of identity and the psychological need for cognitive consistency. — Users avoid AI for worldview-sensitive tasks due to perceived ideological bias and the psychological need for identity preservation.
• #342 The Secrets to High AI Adoption with Stefano Puntoni, Professor at Wharton — Successful AI integration hinges on fostering human-AI complementarity and addressing psychological impacts on workers.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by Simon Willison's Weblog.