AI Summary: This article critiques current enterprise AI adoption strategies, arguing that direct, point-to-point integration of AI agents mimics the failures of early microservice architectures. The author proposes an 'Agentic Work Exchange' (AWE) paradigm, shifting from static capability...
Generative AI has been stuck at the MVP phase for over two years. While chat interfaces and coding copilots are impressive, the enterprise market is struggling with a basic question: How do we actually plug AI agents into our business workflows? This post argues that the problem isn't AI capability, but 'integration pattern poverty.' The author introduces the concept of an Agentic Work Exchange (AWE)—a dynamic marketplace that goes beyond simple point-to-point Agent Communication Protocols (ACP) to create a fluid, scalable environment where specialized agents can discover, bid on, and execute enterprise tasks.
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