The blockchain sector has reached a weird stage. New Layer-1 are continually being launched, with larger TPS, smaller fees and even faster finality. However, adoption is still incomplete, and the majority of such chains are unable to develop long-term relevance. The answer to this question in the era of AI is becoming obvious: the base infrastructure is no longer a bottleneck.
What Web3 Has Already Solved
Web3 has mostly resolved its underlying challenges in the past couple of years. We have quick consensus protocols, performance execution platforms, modular architecture, and rollups. The ability to move value, settle transactions and run smart contracts in large scale no longer constitutes new accomplishments. These are capabilities that are table stakes.
Introducing a new L1 with a slightly higher speed or lower cost does not make much sense to what developers or users can construct.
The reason why base infrastructure is no longer the heart of the issue.
It is not throughput or gas efficiency that is limiting in the real world. It's capability. The classic blockchains were deterministic stateless execution. The AI systems are however probabilistic, stateful, and adaptive. They need memory, reason and automation that is more than mere execution of transactions.
These requirements were never intended to be considered in most of these chains.
What Still Lacks Despite Hundreds of Chains.
The availability of blockchains is an obvious mismatch, yet the gap that remains is an obvious native AI compatibility. Making AI retrofit on existing legacy chains results in weak systems that are based on off-chain computation, centralized coordination, and opaque execution paths. This disobeys trust, composability and verifiability.
AI requires infrastructure that has knowledge of it at a base level.
What It Really Means to Be in the AI-Era Differentiation.
Differentiation in an AI age is no longer based on blockspace. It's about products. Winning chains will be the ones which allow AI systems to run on-chain to full effect- with memory, reasoning, execution, and settlement verifiable and composable.
In the absence of actual products that prove these abilities,AI-ready is a buzzword.
The Reason Why Products Matter More than New Blockspace.
Products prove intent. They demonstrate the support of actual loads in a chain and not some ideal values. The products of the AI era should show:
Persistent on-chain memory
Open-minded thought processes.
Safe, automated execution
Trustless settlement
It is in this regard that most L1s fail.
What AI Preparedness Proof Looks Like.
The opinion of AI preparedness is not a promise on a route. It's observable behavior. A chain makes AI ready when AI systems have capabilities to:
Natively store and recalls.
Explain decisions on-chain
Carry out activities without a centralized control.
Resolve results distrustfully.
This is evidenced today by Vanar.
The way Vanar Prepares AI Readiness into Practice.
Vanar is not branding itself as the other general-purpose chain. It is developing infrastructure in a manner that is directly in line with AI systems needs.
myNeutron illustrates the native memory. AI agents are able to maintain state on-chain, consult historical context and develop over time without off-chain databases.
On-chain explainability and reasoning is proven by Kayon. Decisions are not black boxes, there can be logic inspection, audit and verification on-chain.
Execution can be safely and automatically executed through flows. AI agents are capable of instigating actions, aligning processes and performing outcomes without any supervision and being transparent and controllable.
These features in combination are not individual features. They are known as unified AI stack.
The place of $VANRY in this Model.
VANRY is not established as player in idle blockspace. It is directly related to the use of systems. By creating demand through the token, AI agents consume network resources and execute flows as they store memory, reason and execute flows.
The usage in all myNeutron, Kayon and Flows flows into the economic layer.
Sub Saharan to Sub Utility.
This is the key difference. Vanar does not create a new L1 and expect developers to show up, but rather creates products that are AI-native and lets infrastructure demand grow organically.
In the AI-led world, the chains that will not be able to implement intelligent systems on the protocol level will become irrelevant. The approach proposed by Vanar implies a variation of it, where AI preparedness is not asserted, but demonstrated.
