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The article highlights three key challenges—authentication, identity, and state management—that are often glossed over in AI agent demos but are crucial for building real products. It questions whether these layers will be commoditized into foundation models or remain separate.
Dan Shipper argues that the AI 'jobpocalypse' is not real, as AI commoditizes past human competence rather than causing mass unemployment. Lenny Rachitsky highlights Shipper's accurate past predictions, including the underappreciated rise of Claude Code.
A Twitter thread argues that AI commoditizes yesterday's competence, creating sameness and increasing demand for human differentiation through narrative framing and organizational worldview.
This article argues that selling AI tools alone leads to a race to the bottom, and instead recommends selling outcomes by using AI to deliver existing services more efficiently, highlighting a shift from builders to operators.
This article argues that AI intelligence is becoming commoditized, similar to compute and storage, and that the most valuable companies will not be model builders but those who own customer relationships, proprietary data, and workflows.