Cryptocurrencies and blockchain infrastructure tied to artificial intelligence significantly outperformed the broader digital asset market throughout September, according to a recent analysis published by digital asset manager Grayscale. The notable market rally indicates that investors are increasingly beginning to view public blockchains as foundational infrastructure for automated commerce, cryptographic identity verification, and private computing environments.
The surge highlights a growing convergence between decentralized ledger technology and the rapidly expanding ecosystem of artificial intelligence. As artificial intelligence models become more autonomous and capable of handling complex workflows, industry participants are looking to blockchain networks to provide secure, transparent, and programmable backends for machine-to-machine interactions.
A $15B Segment Outpaces the Broader Crypto Market
Investors are showing a heightened level of interest in blockchain services designed to support artificial intelligence, according to an October 2 analysis authored by Zach Pandl, the head of research at Grayscale. Pandl explicitly linked September’s market outperformance to the emerging digital economy of software agents—autonomous computer programs capable of performing complex tasks, executing workflows, and executing financial transactions independently on a user’s behalf.
Grayscale’s overarching investment thesis centers on blockchain infrastructure specifically tailored for artificial intelligence within a market segment worth roughly $15 billion. While this represents the smallest of the firm’s six tracked crypto sectors, its monthly percentage gain outpaced the broader digital asset market’s increase by a striking 30 percentage points. Emphasizing the long-term potential of this emerging intersection, Pandl wrote in his analysis that the firm believes the artificial intelligence sector could produce one or more major market winners over the next five-year horizon.
The core argument driving this thesis is that public blockchains can serve as a vital complement to artificial intelligence development, which currently remains heavily centralized and concentrated among a handful of major technology corporations. Potential decentralized applications for this technology include automated agent payments, decentralized identity verification, tamper-proof verifiable records, and private computing. Private computing is particularly critical as it protects sensitive user information while data is being processed by algorithms. The recent market rally is interpreted by analysts as growing institutional and retail recognition of these essential use cases.
NEAR’s 183% Gain Leads Four Highlighted Tokens
The specific digital asset projects highlighted in Grayscale’s analysis span a wide variety of functions, ranging from paying automated digital workers to distinguishing real human users from sophisticated artificial intelligence-generated activity. Alongside NEAR’s massive September gain, several other prominent tokens experienced substantial upward momentum. Venice’s VVV token rose by 70%, World’s WLD token advanced 47%, and Bittensor’s TAO increased by 37%, according to the research report.
NEAR, which was co-founded by a researcher who helped develop the transformer architecture that underpins modern artificial intelligence models, plays a critical role in supporting automated commerce. The project’s initiative, NEAR AI, introduced its dedicated AI Agent Market in early February, allowing software programs to bid on tasks, complete complex assignments, and receive direct payments in NEAR tokens. Under this framework, human users can select a specific proposal and fund a payment that is securely held in escrow until the assigned work is successfully completed.
Meanwhile, Bittensor connects specialized decentralized networks covering a wide range of computational needs, including data processing, raw computing power, autonomous agents, and inference, which is the operational process of using a trained machine learning model to generate analytical results. World, a project co-founded by OpenAI Chief Executive Officer Sam Altman, focuses heavily on proving that a digital participant is a genuine human being rather than an automated script. Grayscale also highlighted Venice’s chatbot application, which provides users with private access to powerful language models without storing sensitive prompts or responses.
Investment exposure to these specialized services is also prominently reflected in Grayscale’s Decentralized AI Fund allocations. The fund’s August portfolio rebalance retained both NEAR and Bittensor alongside Render, a distributed graphics processing network, and Filecoin, a decentralized storage network. This fund operates as a distinct investment product separate from the broader sector index, offering targeted exposure to the infrastructure powering the decentralized machine learning economy.
Automated Commerce Brings Verification and Security Challenges
The underlying services and protocols represented by these tokens are designed to address practical requirements that emerge when autonomous software programs purchase digital resources or coordinate collaborative work across disparate platforms. AI agents and their associated crypto tokens support highly programmable transactions and seamless access to various digital services. Dedicated payment tools allow software programs to independently pay for work performed, while cryptographic identity systems and shared public records help establish accountability regarding who performed a specific action.
However, the process of verification becomes significantly more complex as automated systems interact across different digital services and organizations, making traceable activity highly relevant to secure coordination. Addressing these structural concerns, Rodrigo Coelho, the chief executive officer of blockchain development company Edge and Node, argued in an interview that blockchain infrastructure for autonomous agents could make automated actions fully auditable. At the same time, Coelho identified transaction network capacity and shared reputation systems as ongoing scaling challenges that the industry must overcome.
The rapid adoption of financial access for autonomous programs also introduces severe operational risks, a reality vividly illustrated by early experiments involving AI agents using cryptocurrency through Openclaw, an open-source automation framework. Early deployments of these systems included automated trading, cross-chain asset transfers, and the automated purchase of digital services. However, a detailed account described how these systems encountered exposed credentials, unauthorized actions, and sudden financial losses when software agents interacted directly with complex financial tools without adequate guardrails, underscoring the urgent need for secure blockchain infrastructure as the sector continues to mature.
Bitcoin & Major Altcoins
Bitcoin & Major Altcoins
Bitcoin & Major Altcoins
