Pluralistic: Criticizing the everything machine (06 Jun 2026)

2022-04-17 · Source: Pluralistic: Daily links from Cory Doctorow · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Novice, long

Summary

Cory Doctorow's "Criticizing the everything machine" argues that public discourse on AI is hampered by the industry's "Gish Gallop" tactic, where numerous, often exaggerated claims about AI's past, present, and future make meaningful criticism difficult. He contends that many AI critiques fall into "criti-hype," accepting these claims rather than scrutinizing their foundational economic viability. Doctorow asserts that AI is a "money-losingest venture" with "terrible unit economics" that are "getting worse over time," sustained by "unimaginable subsidies" from AI companies. He questions the long-term funding for AI development and the sustainability of AI businesses, pointing out that customers only extol AI's virtues when it's heavily subsidized (e.g., "\$100 bills for \$5 apiece"). He also raises concerns about the environmental impact of data centers and the opportunity cost of diverting funds from other critical research, such as cancer cures, to AI. His upcoming book, *The Reverse Centaur's Guide to Life After AI*, aims to provide a framework for effective AI criticism.

Key takeaway

For policy makers evaluating AI regulation or investment, you should critically examine the economic viability of AI initiatives rather than accepting broad industry claims. Recognize that many AI applications are sustained by unsustainable subsidies, making their long-term impact and funding uncertain. Prioritize scrutinizing unit economics and opportunity costs, such as diverting funds from other critical research, before committing public resources or crafting governance frameworks based on speculative benefits.

Key insights

Effective AI criticism requires challenging underlying economic claims, not just accepting industry hype.

Principles

• AI's unit economics are fundamentally unsustainable.
• Criti-hype accepts industry claims at face value.
• Consider opportunity costs of AI investment.

Method

To effectively criticize AI, first question its economic basis and sustainability before addressing its claimed capabilities or societal impacts.

In practice

• Analyze AI company financial statements for subsidies.
• Evaluate AI's true cost-benefit without subsidies.
• Compare AI funding to other research areas.

Topics

• AI Criticism
• AI Economics
• Technology Hype
• AI Governance
• Digital Rights
• Opportunity Cost

Best for: Investor, Entrepreneur, Tech Journalist, Policy Maker, Executive

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Editorial summary, takeaway, and curation by AIssential. Original article published by Pluralistic: Daily links from Cory Doctorow.