8 Comments

Great post! I like to think there is a Hofstadter's law equivalent of TAM expansion in AI services: "it'll be a larger TAM than you expect, even if you've taken into account this law" :)

c.f. we still haven't scratched the surface of moving on-prem services to the cloud: https://x.com/umang/status/1811270475365994520

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I would like to think that AI services will accelerate the transition from on-prem to cloud, especially if we get AI agents to a point where languages like COBOL can easily be translated to more modern languages

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100%

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Great article, Kevin. While overall thesis makes sense, 1) how about the open-source AI ecosystem disrupting the market for commercial inference services? 2) What if some inference providers develop end-user applications or industry-specific solutions? - this would change their value prop and potential TAM.

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Nice blog Kevin!

Great analysis.

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Kevin, great article! I am wondering if we can translate your blog into Chinese and post it on AI community. We will keep the original link and state where it is translated from. Thank you!

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Just sent you a message!

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Great article! Just help me understand where companies like Groq and Crebras fit in your framework. Is it "Compute Substrate' layer, where they fit in?

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