Hybrid AI stacks become standard for GTM infrastructure

Bindu Reddy's tweet confirms a widespread shift to hybrid AI stacks (frontier for planning, open-weight for execution). This validates a pragmatic, cost-effective architecture for building durable, ownable GTM systems vs vendor lock-in. The trend is gaining traction with new tools like Writer's model-agnostic harness, IBM/Together AI's dedicated inference cluster, and now OpenAI's pause on frontier model training further incentivizing reliance on open-weight models for execution. Qwen 27B matching closed-source SOTA on consumer hardware (RTX 5090) is a game changer, enabling ownable stacks with minimal hardware cost. Cerebras CS-4 launch (30x faster, 4400 tok/s) adds enterprise-grade ownable inference for real-time GTM workflows. Sales Stack is a concrete example operationalizing this stack for GTM.