Current trends in AI investment reveal a significant focus on foundation models, GPU infrastructure, and a limited number of hyperscaler ecosystems. However, experts indicate that many investors are overlooking a critical shift in value creation, which is moving from a model-centric approach to one that emphasizes workflow-native, constraint-driven, and distribution-anchored AI systems. This structural blind spot may lead to a mispricing of opportunities within the evolving landscape of artificial intelligence, as the industry increasingly adapts to new operational frameworks. Investors are encouraged to reassess their strategies to account for these emerging dynamics in the AI sector.
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