Solana Positions Network as Core Infrastructure for the 'Agentic Internet'

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Solana positions its network as the core infrastructure for the "agentic internet," where AI systems drive economic activity. Vibhu Norby, Solana’s CPO, stated at the New York Digital Asset Summit that AI represents a platform-level shift in crypto and other industries. The network has processed 15 million agent-initiated on-chain payments, primarily for machine-to-machine use. Solana’s network upgrade enables high-speed, programmable payments, with stablecoins becoming the standard for computational costs. Developers are building AI-specific tools, leveraging Solana’s performance advantage in the AI + crypto space.

ChainCatcher reports that the Solana Foundation intends to position the Solana network as the core infrastructure for the emerging “agentic internet,” a model in which economic activity is initiated and executed by AI systems rather than humans. Vibhu Norby, Chief Product Officer at the Solana Foundation, stated at the New York Digital Assets Summit that AI is not a single vertical industry but a platform-level transformation impacting all sectors, including crypto. Solana’s strategic focus is on payment infrastructure; the network has already processed approximately 15 million on-chain payments initiated by agents, primarily for machine-to-machine commerce. The programmable nature of crypto payments is key to attracting agents, and stablecoins will become the default method for paying for any computational resource. Vibhu Norby believes this will fundamentally reshape internet business models, enabling microtransactions and pay-per-use scenarios that traditional payment channels cannot support. The Solana Foundation emphasizes that its high-performance design gives it an advantage in this new paradigm: “Agents are calm, precise machines… If you ask agents which crypto to use for payments, Solana is often among the top choices.” Additionally, advancements in AI technology have lowered development barriers, and Solana developers are now building tools directly for AI systems, including machine-readable “skill” files and AI-first development platforms. Norby anticipates that, in the future, user interaction with crypto will default to agents, with 95% to 99% of transactions initiated by large language models (LLMs).

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