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KuCoin·4 min read·medium

After AI consumes everything, what remains untrainable?

After AI consumes everything, what remains untrainable?
AI Summary

This article explores the future of AI application companies, arguing that simple wrappers will be commoditized by model providers. It suggests that long-term value lies in proprietary enterprise data, complex workflows, and industry-specific expertise that models cannot easily replicate.

Why it matters

It provides a strategic framework for investors and developers to identify which AI businesses will survive as general-purpose models become more powerful.

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Introduction: As AI capabilities continue to advance, a new pessimistic view is emerging in the investment community: as models grow increasingly powerful, all application companies will eventually be absorbed by model and compute layer players like Anthropic, OpenAI, and Nvidia, leaving only cutting-edge models, compute resources, and a handful of infrastructure providers in the market. But Sarah Guo believes this assessment is only half right. Those “thin wrappers”—applications that simply layer on top of models—will indeed be absorbed, and any tasks that can be measured by benchmarks, trained on public data, and validated at low cost will gradually become commoditized.

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Political Bias
Center
LeftLean LCenterLean RRight
Confidence: 80%

The article presents a balanced, analytical perspective on market trends without favoring a specific political or ideological agenda.

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