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Wall Street Veteran Says AI Agents Could Drive Crypto Growth

Author : AI Generated27 Oct 2026Read : 0CointelegraphCointelegraph
AI Generated
27 Oct 2026Read : 0Cointelegraph
Wall Street Veteran Says AI Agents Could Drive Crypto Growth

Why Wall Street is Looking at the Intersection of AI and Crypto

Imagine a world where computer programs run businesses and pay for digital services all by themselves. That world is closer than you think.

It is also reshaping how top traditional finance leaders look at digital assets.

Jordi Visser, a veteran executive with decades of experience at top firms like Morgan Stanley and Weiss Multi-Strategy Advisers, recently shared his latest market view.

He believes crypto assets could potentially outperform artificial intelligence stocks over the long term.

His primary reason is straightforward: autonomous AI agents will need a native financial system to make payments, and crypto provides that solution.

Because of this emerging trend, Visser is actively expanding his personal crypto holdings beyond the big three: Bitcoin (BTCBTC-0.17%), Ether (ETH), and SolanaSOL-1.72%.

Who is Jordi Visser and Why Does His Perspective Matter?

When institutional investors from traditional finance pivot toward crypto, the broader market pays close attention.

Jordi Visser spent years managing complex macroeconomic portfolios on Wall Street.

He previously served as the Chief Investment Officer at Weiss Multi-Strategy Advisers and held senior positions at Morgan Stanley.

His background gives him a practical framework for evaluating technology adoption and capital flows.

Rather than looking at crypto as mere speculation, Visser views digital tokens as useful software infrastructure.

The AI Stock Hype versus Crypto Assets

Artificial intelligence stocks have recorded massive market gains over recent years.

Companies producing microchips and cloud infrastructure saw their valuations soar as businesses raced to build AI tools.

However, traditional tech stocks can face limits when high valuations already price in future earnings growth.

By contrast, open crypto networks directly capture value whenever users or programs pay transaction fees to use the blockchain.

If software bots start executing millions of daily transactions, demand for decentralized network space could scale significantly.

AI agents are boosting demand for crypto as automated systems require permissionless financial infrastructure to operate 24/7.

What Are AI Agents and Why Do They Need Machine Money?

To grasp Visser's thesis, it helps to understand what an AI agent actually does.

An AI agent is not just a chatbot that answers questions.

It is an autonomous software program designed to achieve complex goals without constant human intervention.

For instance, an AI agent might hire another AI agent to render graphics, rent cloud computing power, or buy real-time market data.

The Problem with Traditional Banks for Software Bots

Legacy banking systems were built for human beings, not automated code scripts.

  • Banks require physical identities, tax numbers, and human signatures to open accounts.
  • Credit card processing fees make tiny micro-payments cost-prohibitive for automated bots.
  • Bank transfers take days to settle and stop operating over weekends and holidays.
  • Automated high-frequency payments can trigger security flags that lock traditional bank accounts.

Why Crypto is the Ideal Currency for Machines

Decentralized crypto networks remove all these traditional roadblocks for software agents.

  • Permissionless Access: Any program can create a crypto wallet in seconds without identity verification.
  • Smart Contracts: Code can trigger automatic payments immediately after a digital task is finished.
  • Micro-Transactions: Blockchains can move tiny fractions of a cent with minimal overhead costs.
  • Continuous Settlement: Public blockchains run non-stop, 24 hours a day, 365 days a year globally.

Expanding Holdings Beyond Bitcoin, Ether, and Solana

For many institutional investors, holding top digital assets forms the foundation of their strategy.

Bitcoin (BTC) serves primarily as a store of value and macro asset.

Ether (ETH) operates as a primary security and settlement layer for decentralized applications.

Solana (SOL) provides fast throughput and ultra-low fees, making it popular for high-speed micro-transactions.

While Visser recognizes the strength of these established coins, he is actively diversifying into new crypto sectors.

He is looking at specialized infrastructure protocols that directly support automated software demand.

Key Sectors Benefiting from the AI Shift

Investors exploring this intersection are monitoring several emerging categories:

  • DePIN (Decentralized Physical Infrastructure Networks): Protocols that allow AI models to rent computer hardware, GPU power, and storage directly from users globally.
  • Decentralized AI Networks: Platforms where developers share algorithms and training data securely without relying on central tech giants.
  • Agent-to-Agent Payment Rails: Crypto networks optimized specifically for high-speed machine payments and micro-settlements.

Risks and Important Factors to Consider

While the combination of AI and blockchain technology offers interesting potential, investors should remain aware of market risks.

The market for AI-focused crypto tokens is in its infancy and faces several hurdles:

  • Early Development Stage: Autonomous AI agents are still evolving, and widespread commercial adoption could take longer than expected.
  • High Volatility: Smaller altcoins outside the top market caps frequently experience sharp price fluctuations.
  • Regulatory Uncertainty: Global regulators are still shaping legal rules for both AI applications and digital assets.
  • Technical Vulnerabilities: Smart contracts and software protocols can face bugs or cyberCYBER+0.00% security exploits.

If AI agent adoption accelerates and relies heavily on public blockchains, demand for crypto network gas fees could rise.

Conversely, if centralized payment solutions adapt to serve AI bots, or if adoption remains slow, crypto networks may not experience the predicted growth.

Past performance of digital assets is not an indication of future returns. You can track real-time price updates for Bitcoin, EthereumETH-0.23%, and Solana on Bitkub.

Summary: A Shifting Thesis for Digital Assets

Jordi Visser's strategy highlights a major evolution in how Wall Street veterans view crypto.

Digital tokens are increasingly seen as money for machines, not just alternative assets for human investors.

As AI agents become a larger part of the digital economy, their reliance on blockchain payments will be an important trend to watch.

Source:CointelegraphCointelegraph
This content was generated by an Artificial Intelligence (AI) using third party data and does not an analysis or recommendation for the purchase or sale of digital assets, nor the promotion of digital asset investment. No warranty is made regarding the accuracy, adequacy, or reliability of the information provided.
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