Sometimes people think that it will take a while for AI to have a transformative effect on the world, because real-world “frictions” will slow it down. For instance:

AI might need to learn from real-world experience and experimentation.
Businesses need to learn how to integrate AI in their existing workflows.
Leaders place a high premium on trust, and won’t easily come to trust AI systems.
Regulation, bureaucracy, or other social factors will prevent rapid adoption of AI.

I think this is basically wrong. Or more specifically: such frictions will be important for AI for the foreseeable future, but not for the real AI.

An example of possible “speed limits” for AI, modified from AI as Normal Technology.

Real AI deploys itself

Unlike previous technologies, real AI could smash through barriers to adoption and smooth out frictions so effectively that it's fair to say [...]

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Outline:

(01:05) Real AI deploys itself

(04:25) Deployment could be lightning-quick.

(05:14) Friction might persist, but not by default.

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First published:
September 25th, 2025

Source:
https://www.lesswrong.com/posts/qeKopQQnXkWbtHmtM/the-real-ai-deploys-itself

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Narrated by TYPE III AUDIO.

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Images from the article:

An example of possible “speed limits” for AI, modified from AI as Normal Technology.

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“The real AI deploys itself” by David Scott Krueger (formerly: capybaralet)

LessWrong (30+ Karma)