As we stand on the cusp of 2025, we’re witnessing the shift from Generative AI—where machines excel at human-like conversation—to Agentic AI, where autonomous systems can take on tasks, creatively figure out how to solve them, and even automate entire workflows without constant human intervention.
Despite the excitement, there’s a troubling trend: Agentic AI is often being bottled up as specialized mini-agents for specific domains like healthcare, insurance, or personal scheduling. Although specialization has its place, it constrains utility and stifles the larger vision of Agentic AI, which is a future where AI can access any system or data resource on its own terms.
AI for Humans, AI for Machines
Generative AI was built to interact seamlessly with humans. It relies on “human-friendly” input formats—text, or maybe JSON structures. But when AI interacts with other AI or back-end systems, human-friendly formats aren’t necessarily the most efficient approach. This is like using a slow, scenic road for heavy logistics instead of building a dedicated highway.
A Call for “Service Highways”
Imagine if every data system, web service, or software application offered a special tunnel or highway only for AI traffic. This highway wouldn’t use verbose protocols like JSON or XML; it would be a lean, secure protocol that AI could discover, interpret, and use dynamically. Modern AI is already decent at coding. With the right environment, Agentic AI could design and optimize these highways itself.
Blockchain as the Global Map
In this vision, we could leverage blockchain technology as a global index (or “map”) of services. Each service—whether it’s a data source or a specialized function—could register itself on this blockchain with access rules, permissions, and pricing. Need a task done? A “Coordinator AI” spawns a Just-In-Time Agent (JITA), which discovers the services it needs via the blockchain, negotiates token-based payment for their usage, and completes the job. Once done, the JITA evaporates, returning the final product to the coordinator.
From One-Size-Fits-All to Fit-for-Purpose
The monolithic “do-it-all” AI might seem enticing, but it’s like using a massive train engine to run simple errands. We can be more efficient by letting AI subdivide itself into smaller, specialized agents—lightweight programs that do specific tasks well—rather than rely on one enormous, resource-hungry AI model.
Benefits at a Glance
Efficiency: Lighter agents that spin up and down on demand.
Security: Service access is strictly permissioned and tracks usage via blockchain.
Innovation: Automated creation and evolution of these service highways, leaving humans free to develop new data systems and resources.
Commercialization: An in-built token system to compensate service providers.
Let the Colonization Begin
We learned this from our own history: colonization and expansion work best with robust infrastructures—roads, ports, and networks. Agentic AI needs that same foundational layer of specialized highways. By creating open corridors for AI-to-AI interaction and weaving in incentive and discovery mechanisms via blockchain, we can finally “let the colonization begin” and see truly explosive growth in AI-driven innovation.
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