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Home»Blockchain»the autonomous economy enters the production phase
Blockchain

the autonomous economy enters the production phase

2026-05-21No Comments3 Mins Read
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In the first quarter of 2026, the Solana ecosystem saw a major change in the AI ​​agent industry, from simple experimentation to a real measurably economical activity.

According to the new Messari report, the blockchain will become one of the key reference points for autonomous applications that can function, make payments and generate value without direct human intervention.

The most important data point concerns the birth of what begins to define the ecosystem “Agent BBP,” that is, the economic value produced by autonomous artificial agents.

Solana’s AI agents are starting to generate real economic activity

In the ‘State of Solana Q1 2026’ report, Messari highlights how the growth of AI applications on the blockchain clearly accelerated, especially in March.

We are no longer just talking about technical demos or experimental tests, but about use cases that are starting to emerge real operational statistics.

One of the examples cited is Play Babylona multiplayer game based on autonomous agents that recorded approximately 490,000 transactions executed by 1,171 AI agents in just five days after launch.

Figures that analysts say show how machine-to-machine applications can already support significant volumes on high-performance blockchain infrastructures.

Other projects have also contributed to the growth of activity. For example, StormRae AI hosted a public red-teaming simulation that reportedly involved approximately 15,000 participants on the network.

At the same time, the Anagram team introduced the SolanaClaw Agent, a tool designed to enable AI agents to transact directly through messaging platforms such as WhatsApp and Telegram.

According to Messari, these developments are mainly driven by the technical characteristics of Solana.

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Costs of less than one cent and finality times of less than one second make the network particularly suitable for automated applications that require it frequent operations and minimal costs.

In any case, there is a broader story behind this growth that involves the entire crypto sector.

In recent months, several blockchains have begun to position themselves as ideal infrastructure for the economy of AI agents.

In particular, they are trying to attract developers interested in creating autonomous systems that can interact with financial protocols, digital marketplaces and decentralized services.

In this context, Solana seems intent on exploiting the competitive advantage associated with network speed, especially at a time when the topic of artificial intelligence continues to dominate both the technology market and the crypto market.

Autonomous payments and onchain identity: Solana’s strategy is taking shape

One of the most relevant aspects to emerge from the report concerns the infrastructure for autonomous payments. During the quarter, Solana integrated support for the Machine Payments Protocol (MPP) developed by Stripe.

According to Messari, this makes Solana the only major blockchain compatible with both MPP and the x402 standard, an open-source protocol for autonomous payments originally developed by Coinbase.

The purpose of these standards is to enable AI agents to conduct economic transactions without the need for continuous human supervision.

In practice, autonomous software could purchase services, pay for APIs, manage digital resources, or perform financial transactions in real time.

Furthermore, the ecosystem surrounding x402 is also reportedly expanding rapidly. QuickNode has introduced an open-source toolkit for agent-driven payments in USDC, while Alchemy has added similar features to its developer tools.

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At the same time, the Solana Foundation, together with Quantu AI, has launched an onchain Agent Registry designed to provide AI agents with a verifiable and interoperable identity on the network.

A step that could prove crucial if the autonomous economy actually starts to grow in the coming years.

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