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贝莱德预测AI代理将推动稳定币市场增长

2026-09-23 21:12:35

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核心要点

人工智能代理可能采用稳定币进行自动化交易
计算资源可能进入交易市场
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全球最大的资产管理公司预测，人工智能将显著提升数字货币的采用率。自主软件系统可能会利用稳定币来购买数据、API、云服务以及处理能力。由于价格稳定和连续结算能力，与美元挂钩的数字代币有望在机器自动化交易中占据主导地位。处理能力和计算资源可能会被代币化，用于交易和抵押目的。投资巨头承认，这些由代理驱动的支付系统和代币化的计算市场仍处于早期发展阶段。

人工智能代理可能采用稳定币进行自动化交易

根据贝莱德（BlackRock）的最新分析，随着自主运行的软件代理开始独立进行交易，人工智能可能会创造对加密货币基础设施的空前需求。在其研究报告《机器原生经济》（The Machine-Native Economy）中，这家全球投资领导者认为，虽然人工智能提供了自主决策的认知能力，但基于区块链的资产可以提供执行这些选择所需的交易框架。

BlackRock pointed out that payment processing is the most direct practical application scenario. Autonomous artificial intelligence systems will soon be able to automatically pay providers for data sets, application programming interface access, digital solutions and computing power without having to manually authorize each individual purchase. The financial giant emphasized that given its price consistency and the round-the-clock nature of distributed ledger technology, dollar-backed stablecoins are well suited for such operations. BlackRock also highlighted the capabilities of programmable cryptocurrency systems that can handle high-frequency, micro-value automated exchanges between machines.

An example is the x402 payment protocol, which allows software entities to receive real-time compensation when requesting digital resources. Circle also launched Agent Stack, which provides AI systems with the ability to hold USDC, identify available services, and perform payments through code. Circle reported last August that more than 900 fee-based services have integrated Agent Stack, of which USDC accounts for 99.3% of the x402 agent-driven transactions monitored by the organization.

Computing resources may enter trading market

贝莱德还指出了另一个以人工智能处理基础设施为中心的长期可能性。随着对专用处理器和云平台的日益需求，企业可能会寻求创新方法来确保容量接入、稳定成本并控制风险敞口。该公司提出，计算容量的权利最终可能会被代币化，然后在各方之间转移、在市场交换或用作贷款抵押品。AI 代理本身可能会利用这些平台，根据运营需求自动获取额外的处理资源。

贝莱德引用行业分析师的预测指出，到本十年末，亚马逊、微软和谷歌等主要云基础设施部门的总收入可能接近约 1.1 万亿美元。目前，标准化计算合约的有效市场尚未开发，贝莱德强调这一概念仍处于探索阶段。

总体论点表明，人工智能技术和区块链资产可能会越来越互补，自主程序生成对可编程货币的需求，而分布式账本系统则为 AI 代理提供交易能力。对于市场参与者而言，这种潜力主要仍是理论上的，广泛采用取决于监管框架、基础设施成熟度、安全协议，以及企业是否拥抱区块链支付系统而非增强传统金融渠道。

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