As raw AI intelligence commoditizes, defensibility shifts to workflow orchestration, enterprise trust, and deployment services

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The rapid proliferation of highly capable open-weights models and the narrowing cap between proprietary LLM providers has commoditized raw intelligence. Consequently, AI-native developers can no longer build sustainable competitive moats on algorithmic strength alone. Instead, value is migrating outward to deep workflow orchestration, strict risk/compliance architectures, and high-touch implementation services. To successfully capture and retain enterprise budget, software vendors must move beyond selling raw model access, shifting focus toward integrating their software directly into complex operational flows and providing the hands-on deployment labor necessary to clear legacy bottlenecks.

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