The relationship between artificial intelligence and cryptocurrency may be shifting from competition for investor capital to technological convergence, according to 21Shares.
In its latest October market outlook, 21Shares said September 2026 was the first month in which markets appeared to price AI and crypto as complementary technologies rather than competing investment themes.
The firm pointed specifically to the rise of AI-agent infrastructure. As autonomous software becomes capable of making decisions and carrying out economic tasks, 21Shares argues that these agents need money they can hold and spend, computing resources they can rent, and payment infrastructure capable of operating without a traditional bank account.
According to the investment firm, crypto networks are increasingly positioned to provide those rails.
Why 21Shares Sees AI and Crypto Converging
For much of 2026, AI and crypto have competed for investor attention and capital. 21Shares now argues that this competition may have been temporary.
The firm’s latest analysis describes AI agents as increasingly becoming economic actors rather than simply software tools.
An autonomous agent may eventually need to:
- Purchase data or API access.
- Pay for computing resources.
- Execute trades.
- Move money between services.
- Purchase digital goods.
- Settle transactions around the clock.
- Interact with other autonomous agents.
Traditional financial infrastructure was primarily designed around identifiable human customers and businesses. Crypto networks, by contrast, can provide programmable wallets and permissionless settlement infrastructure that can operate continuously.
21Shares therefore sees a potential division of labor: AI provides machine-native intelligence, while crypto provides machine-native money and settlement rails.
The idea is also appearing elsewhere in the financial industry. BlackRock’s October 2026 research similarly argued that AI and digital assets share a machine-native foundation and that machine-to-machine commerce could increase demand for programmable payment infrastructure such as stablecoins and blockchain networks.
AI Agents Need More Than Intelligence
An AI agent can analyze information and make decisions, but an autonomous economic agent also needs the ability to act on those decisions.
That requires access to financial resources.
For example, an AI agent could theoretically identify a piece of information it needs, purchase access to an API, obtain additional computing capacity, analyze the result and then execute a transaction.
If every step requires a human to log into a bank account, approve a payment or manually manage credentials, the benefits of autonomous software become limited.
This is where 21Shares believes crypto infrastructure can become important.
The firm’s September research argued that AI agents need money they can hold and spend without relying on conventional banking infrastructure. Stablecoins, programmable wallets and blockchain settlement can potentially provide that functionality.
The thesis is not that AI agents will immediately replace traditional banking. Rather, it is that a new category of machine-to-machine transactions could require infrastructure optimized for automated, small-value and always-on payments.
Stablecoins Could Become the Payment Layer for AI Agents
Stablecoins are particularly relevant to the thesis because they combine blockchain-based settlement with a relatively stable unit of account.
21Shares identified agentic payments as one of the clearest areas where crypto and AI could intersect.
An AI agent could use a stablecoin wallet to pay for an API request, access a dataset, purchase computing time or obtain another digital service without requiring a human to authorize every individual payment.
The underlying infrastructure is already being developed.
Coinbase’s x402 payment protocol is designed to allow software to make payments for web-based services using crypto. Coinbase said in September that x402 had processed more than 230 million transactions and over $54 million in volume since its launch.
Amazon Web Services has also moved agent payments beyond experimentation. AWS announced general availability of Amazon Bedrock AgentCore Payments in August 2026, allowing AI agents to autonomously discover, access and pay for APIs, MCP servers and content. The system integrates with Coinbase and Stripe Privy wallets and supports payment protocols including x402.
These developments provide evidence that agentic payments are moving from a theoretical concept toward actual infrastructure.
Crypto Rails Could Solve the Bank-Account Problem
A central part of the 21Shares thesis is that autonomous agents do not naturally fit into conventional financial infrastructure.
A bank account is generally associated with a human or legally recognized organization. Opening an account involves identity verification, compliance requirements and account-level controls.
An autonomous software agent does not naturally fit that model.
Crypto wallets provide a different architecture.
A wallet can hold digital assets and interact with blockchain applications programmatically. Depending on the system, transactions can be initiated automatically according to predefined rules and spending limits.
This does not remove the need for compliance or safeguards. Instead, it changes where financial authorization and control can be implemented.
Coinbase has already introduced infrastructure specifically aimed at giving AI agents the ability to hold and manage money independently, describing crypto rails as capable of supporting programmable transactions without traditional banking friction.
NEAR Emerges as One of September’s AI-Crypto Examples
21Shares identified NEAR as one of September’s standout examples of the convergence thesis.
According to the firm’s October outlook, NEAR gained roughly 180% over 30 days, with the move linked to growing interest in agent payments and infrastructure.
A key component is NEAR Intents, which is designed to simplify cross-chain transactions and allow AI agents and applications to execute transactions without manually handling the complexity of different blockchain networks.
NEAR’s own infrastructure data currently shows more than $31 billion in cumulative volume across 35 chains through NEAR Intents.
The system is designed to abstract away tasks such as bridging and liquidity management, potentially making blockchain transactions easier for both humans and autonomous software.
21Shares argues that this type of infrastructure could become increasingly important as AI agents begin interacting with multiple financial networks.
September’s Market Performance Strengthened the Thesis
The convergence argument was not based solely on technology announcements.
21Shares said September’s market leadership increasingly favored crypto projects with visible usage and revenue rather than assets driven primarily by narratives.
Bitcoin rose about 6.2% in September, despite several macroeconomic headwinds, including a Federal Reserve rate hike, elevated long-term Treasury yields and oil prices above $100 at points during the month.
Beyond Bitcoin, 21Shares highlighted several areas where it saw evidence of fundamental adoption.
These included:
- AI-agent payment infrastructure.
- Stablecoin and blockchain-based financial infrastructure.
- Tokenized assets.
- Privacy-focused blockchain applications.
- Onchain financial services.
The firm described the pattern as a market increasingly rewarding product-market fit and real usage rather than simply thematic speculation.
21Shares Had Already Identified Eight AI-Crypto Use Cases
The September shift follows a broader 21Shares research thesis published earlier in the month.
In a September 2 report, the firm outlined eight areas where AI and crypto could intersect:
- Agentic trading
- Agentic payments
- Agentic asset management
- Private AI inference
- Decentralized storage
- Decentralized compute and AI training
- Bitcoin mining infrastructure for AI data centers
- AI-enabled cybersecurity
The firm’s argument is that AI does not only need intelligence and computing power. It also needs financial infrastructure, memory, data and security.
Crypto networks could potentially provide parts of that infrastructure through programmable payments, decentralized storage, token incentives and permissionless financial markets.
The AI-Agent Economy Could Expand Crypto’s Addressable Market
21Shares cited estimates that AI agents could eventually mediate between $3 trillion and $5 trillion in consumer commerce.
That figure should be viewed as a long-term industry estimate rather than a forecast of blockchain transaction volume.
Even a relatively small share of machine commerce using stablecoins or blockchain settlement could nevertheless create additional demand for blockchain infrastructure.
For example, an AI agent could pay fractions of a dollar for:
- A real-time data query.
- An API call.
- Model inference.
- Cloud computing.
- Storage.
- Digital content.
- Another AI agent’s service.
Traditional payment systems can process automated transactions, but their economics and architecture were not originally designed around millions of autonomous software agents making tiny, programmable payments continuously.
BlackRock’s October 2026 research reached a similar conclusion, saying blockchain rails could be particularly suitable for high-frequency, low-value machine-to-machine transactions such as API calls, on-demand data and consumption-based computing.
The Technology Is Still at an Early Stage
Despite the increasingly bullish narrative, the AI-crypto convergence remains an emerging market rather than an established economic system.
AI agents still face significant challenges involving:
- Security.
- Fraud prevention.
- Spending controls.
- Identity and compliance.
- Reliability.
- Model hallucinations.
- Wallet security.
- Smart-contract vulnerabilities.
- Accountability when autonomous software makes mistakes.
21Shares itself acknowledged that crypto’s role in the AI economy depends on which networks can earn the trust of developers, regulators and users.
The existence of agent wallets and payment protocols does not guarantee that crypto will become the dominant settlement layer for AI.
Traditional financial institutions are also developing automated payment systems, while major technology companies are building their own agentic commerce infrastructure.
What September’s Shift Could Mean for Crypto
If the 21Shares thesis proves correct, AI could become a new source of demand for crypto infrastructure.
The potential beneficiaries would not necessarily be AI-themed tokens alone.
The broader ecosystem could include:
- Stablecoins for machine payments.
- Layer-1 blockchains for transaction settlement.
- Wallet providers for agent-controlled funds.
- Cross-chain protocols for moving assets between networks.
- Decentralized compute networks for AI workloads.
- Decentralized storage for machine memory.
- Tokenized assets that AI agents can interact with programmatically.
This would represent a different investment narrative from the earlier AI-token cycle, where the primary connection between AI and crypto was often branding or speculative positioning.
The emerging thesis is instead about infrastructure.
Bottom Line
21Shares believes September 2026 marked an important change in how markets viewed artificial intelligence and cryptocurrency.
Rather than treating AI and crypto as competing destinations for capital, the market increasingly appeared to price them as complementary technologies.
The core argument is straightforward: AI agents may become autonomous economic actors, and autonomous economic actors need money, wallets and payment rails.
Crypto’s programmable and permissionless infrastructure could potentially fill that role, particularly for stablecoin-based micropayments, machine-to-machine transactions and cross-border settlement.
Developments from Coinbase, AWS and NEAR suggest that the infrastructure is already being built. However, widespread agentic commerce remains in its early stages, and regulatory, security and adoption challenges could determine whether the AI-crypto convergence becomes a lasting structural trend or another temporary market narrative.
Disclaimer: This article is for informational and educational purposes only and does not constitute financial, investment or trading advice. Cryptocurrency and AI-related assets can be highly volatile and speculative. Past performance and industry projections do not guarantee future results.
