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The Misconception of Falling AI Costs Saving Consumer Margins

By

admp

10mo ago· 10 min readenInsight

Summary

The article discusses the challenges of pricing consumer AI products, using the example of a company aiming to charge $20/month despite high initial costs. It critiques the assumption that rapidly decreasing LLM (Large Language Model) costs will automatically lead to profitability, drawing parallels to past examples like Claude Code and Windsurf. The author highlights the 'fatal flaw' in relying on cost reductions to bail out consumer AI margins.

Key quotes

· 3 pulled
Imagine you start a company knowing that consumers won't pay more than $20/month.
You've seen the a16z chart showing LLM costs dropping 10x every year.
The fatal flaw in the idea that 'models getting cheaper' will bail out consumer AI margins.
Snippet from the RSS feed
the goal with this is to generalize what happened with claude code & windsurf to the fatal flaw in the idea that “models getting cheaper” will bail out consumer ai margins

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