I realized rather late that most conversations around AI Agents still focus on what a single agent can do, rather than how agents interact with each other. The market seems obsessed with adding more capabilities, while the bigger challenge is creating the incentives that allow independent agents to function as a coordinated system.

The issue isn't building one more AI agent. It's connecting supply with demand through an abstraction layer that makes AI services easier to discover, access, and use. At least from my perspective, that's where the real signal begins to emerge.
OpenGradient makes me think about that direction. Instead of simply building AI Agents, they appear to be creating an Agent Marketplace. What's interesting isn't the number of agents available, but whether the network can help users discover, evaluate, and coordinate specialized AI services within an open economy.
Of course, marketplaces have never been easy to build. I'm still uncertain whether agent liquidity will develop into something sustainable or remain another market narrative. That depends on whether developers, users, and the underlying infrastructure all have incentives that reinforce long-term participation.
I'm not yet convinced OpenGradient has solved that problem, but I do think that if an Agent Economy eventually takes shape, the greatest value may not come from individual agents themselves. It may come from the orchestration layer that connects them into a network. I'm still watching to see whether the market ultimately values AI as a standalone product—or as a network.
#opg $OPG ‌