After raising $650 million in new funding, Dragonfly believes Crypto is not for humans.

Last night, leading venture capital firm Dragonfly Capital announced the completion of its fourth fund raising, totaling $650 million. That same evening, Haseeb Qureshi, a star partner at Dragonfly Capital, published a lengthy article on X, titled "Crypto was not made for humans," proposing the new view that "cryptocurrencies were not created for humans, but should serve AI tokens," and stating that "in 10 years, we may be amazed that humans can directly interact with cryptocurrencies." The following is the full text of Haseeb Qureshi's article, translated by Odaily. We are a crypto fund. If anyone should be a believer in cryptocurrencies, it's us. However, when we sign an agreement to invest in a startup, we don't sign a smart contract, we sign a legal contract; the startup does too. Without a legal agreement, both of us feel uneasy. Why? We have lawyers, and they have lawyers. We have engineers who can write and audit smart contracts, and they have engineers. Both sides are seasoned participants with expertise in crypto technology, but we still don't believe that smart contracts can be the only binding agreement between us. I'm a software engineer by training, but I still trust legal contracts more—because if a legal contract has problems, I know a judge will make a reasonable ruling, whereas with EVMs, it's not. In fact, even with on-chain vesting contracts, a legal contract usually accompanies them. This is just in case. When I first entered the crypto industry, people told a fantastical story: cryptocurrencies would replace property rights. We would no longer use legal contracts, but smart contracts; no longer rely on courts to enforce agreements, but be enforced by code. But this didn't happen. Not because the technology didn't work, but because it wasn't suited to our society. I've been in this industry for ten years, and I still feel apprehensive every time I sign a large on-chain transaction, but I've never been afraid of a large bank wire transfer. The banking system, while flawed, was designed for humans. It's hard to mess with. There's no address poisoning attack in banks, and it's highly unlikely they'd allow me to transfer $10 million to North Korea—but for Ethereum validators, there's no reason not to execute a transfer if my address sends $10 million to a North Korean address. The banking system is specifically designed to exploit human weaknesses and failure modes, and has been refined over hundreds of years. The banking system is human-friendly, but cryptocurrencies are not.This is why, in 2026, blind-signed transactions, legacy authorizations, and accidental phishing contracts remain terrifying. We currently know we should verify contracts, double-check domains, scan for address spoofing… we know we should do it every time, but we don't, because we are human. That's the key. This is why cryptocurrency always feels a bit off. Lengthy, unreadable encrypted addresses, QR codes, event logs, gas bills, and footguns everywhere—none of it aligns with our intuition about money. That's when it dawned on me—because cryptocurrency wasn't made for us. Crypto is an AI agent built for machines that doesn't slack off or get tired. It can verify transactions, check every domain, and audit contracts in seconds. More importantly, the AI agent trusts code more than the law. I trust the law, not smart contracts, but for the AI agent, legal contracts are actually more unpredictable. Think about it: how will I drag my counterparty into court? In which jurisdiction will this contract be tried? What if legal precedent is ambiguous? Who will serve as judge or jury? The law is fraught with uncertainty; the outcome of any marginal case is difficult to determine, and dispute resolution often takes months or even years. This is generally acceptable for humans, but on the timescale of AI agents, it's practically an eternity. Code, on the other hand, is the opposite. Code is closed-form, deterministic, and verifiable. For an AI agent to reach an agreement with another agent, multiple rounds of negotiation, static analysis, and formal verification can be conducted on a smart contract, culminating in a binding agreement—all within minutes, while humans are still asleep. From this perspective, cryptocurrency is a self-consistent, fully readable, and fully deterministic system of monetary property rights. This is everything an AI financial system needs. What we humans perceive as a "rigid trap" is, in AI's eyes, a well-written specification. Even legally speaking, our traditional monetary system was designed for humans, not AI. The traditional monetary system only recognizes humans, businesses, and governments as the legitimate holders of money. If you are not one of these three entities, you cannot own money. Even if you set up an AI agent to interact with bank accounts on your behalf, then what? How do you conduct anti-money laundering (AML) reviews, suspicious activity reporting, and violation sanctions on AI agents? If the agent acts autonomously, where does liability lie? If it is manipulated, does liability change?We haven't even begun to answer these questions—our legal system is completely unprepared for non-human financial participants. Cryptocurrencies, on the other hand, don't need to answer these questions. A wallet is a wallet; it's just code. Agents can hold funds, transact, and enter economic protocols as easily as sending an HTTP request. This is why I believe the crypto interface of the future will be what I call "autopilot" wallets—entirely mediated by AI. You won't need to visit websites anymore. You'll instruct your AI agent to solve your financial problems, navigating available services (such as Aave, Ethena, BUIDL, or any protocol that inherits them) and building suitable financial solutions for you. You won't be doing anything; an AI agent with a deep understanding of the world will do it for you. When AI agents become the primary interface to the crypto world, the way these protocols market themselves and compete with each other will also fundamentally change. Besides acting on your behalf, agents will also transact with each other. When agents can autonomously discover other agents and enter economic protocols, they will prefer cryptocurrencies. Because cryptocurrencies can operate 24/7, 365 days a year, are peer-to-peer, exist in virtual space, cannot be shut down, and possess complete self-sovereignty… Odaily Note: An AI agent on Moltbook asked how to find and interact with other Web3 agents. This has already happened. Agents on Moltbook are searching for each other and collaborating across geographical boundaries, with no one knowing who their owners are or where they are. Just yesterday, 0xSigil's Conway Research built a batch of autonomous agents that will live completely autonomously using crypto wallets and strive to earn their own computational costs to survive. The future will become increasingly bizarre, and cryptocurrencies will be part of this bizarre world. So, what's the conclusion? I think it's this—those seemingly flawed aspects of cryptocurrencies, those things that feel defective to humans, may never have been vulnerabilities in retrospect. They simply indicate that humans weren't the right users. Ten years from now, when we look back, we might be surprised that humans actually "fought" with cryptocurrencies directly. This change won't happen overnight, but a technology often explodes rapidly when its complementary technologies finally arrive. GPS waited for smartphones, TCP/IP waited for browsers. For cryptocurrencies, we may have just seen it coming in the form of AI agents. [Odaily Planet Daily]

RichSilo Exclusive Analysis:

Dragonfly’s $650M Fund and the AI-Crypto Paradigm Shift: A New Era for Digital Assets

The crypto market is witnessing a significant philosophical pivot with Dragonfly Capital’s $650 million fourth fundraise and Managing Partner Haseeb Qureshi’s provocative thesis that “cryptocurrencies were not created for humans.” This represents more than just venture capital inflow—it signals a fundamental reimagining of crypto’s end users and value proposition, with profound implications for investors, developers, and tokenomics.

The Human-Crypto Disconnect: Acknowledging Market Realities

Qureshi’s candid admission that even crypto experts prefer legal contracts over smart contracts for binding agreements strikes at the core of crypto’s adoption challenges. For years, the industry has promised to replace legal systems with code-enforced agreements, yet the reality remains stubbornly human-centric. This disconnect explains why complex interfaces, address poisoning risks, and unintuitive UX have hindered mainstream adoption despite technological sophistication.

The fact that seasoned crypto professionals still experience “apprehension” with large on-chain transactions while being comfortable with traditional bank transfers reveals uncomfortable truths about crypto’s current state. The banking system, despite its flaws, evolved over centuries to accommodate human psychology and error patterns—a stark contrast to crypto’s unforgiving, deterministic nature.

AI Agents: The Natural Evolution of Crypto’s Value Proposition

Dragonfly’s thesis isn’t merely philosophical—it’s a strategic framework for market evolution. By positioning AI agents as crypto’s ideal users, Qureshi identifies a powerful convergence opportunity where two rapidly accelerating technologies complement each other’s limitations. For AI agents, crypto offers:

  1. Deterministic Value Transfer: Unlike legal systems with ambiguous outcomes, smart contracts provide certainty crucial for AI decision-making.
  2. 24/7 Operation: Crypto markets never sleep, aligning perfectly with AI’s continuous operation.
  3. Pseudonymous Interaction: Agents can transact without revealing identities, enabling autonomous economic activity.
  4. Programmable Money: Crypto’s composability allows AI to build complex financial solutions through code rather than legal constructs.

This perspective reframes crypto’s perceived “flaws” as features when the user is an AI rather than a human. The complexity that deters human adoption becomes a security feature for agents that can process and verify it instantaneously.

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Market Implications: Investment Opportunities and Strategic Shifts

The $650 million fundraise indicates institutional conviction in this AI-crypto convergence, creating several investment opportunities:

Infrastructure Plays

  • AI Agent Frameworks: Projects enabling autonomous financial agents (e.g., autonomous wallets, decision engines) will see increased demand.
  • Cross-Chain Agent Infrastructure: Solutions facilitating agent-to-agent transactions across different blockchains.
  • Machine-Readable Protocol Interfaces: DeFi protocols adapting their interfaces for programmatic access by AI agents.

Data and Oracle Solutions

  • AI-Optimized Oracles: Reliable data feeds specifically designed for AI decision-making needs.
  • Real-Time Analytics: Platforms providing AI agents with on-chain data analysis and market intelligence.

Identity and Security

  • Agent Identity Protocols: Systems balancing pseudonymity with accountability for autonomous financial actors.
  • AI-Powered Security: Solutions protecting autonomous agents from novel attack vectors targeting AI systems.

Traditional DeFi Adaptation

  • Autonomous Yield Strategies: Protocols enabling AI agents to optimize yield strategies programmatically.
  • Agent-Centric AMMs: Decentralized exchanges designed for algorithmic trading by AI agents rather than humans.

Risks and Challenges

Despite the optimistic thesis, significant risks accompany this paradigm shift:

  1. Regulatory Uncertainty: Autonomous financial agents operating with crypto assets exist in a regulatory gray area. Regulators may struggle to classify, tax, and oversee these entities.

  2. Agent Security: AI agents handling significant crypto assets become high-value targets. Novel attack vectors targeting AI decision-making processes could emerge.

  3. Liability Quandaries: When autonomous agents cause financial losses or regulatory violations, determining liability becomes complex.

  4. Systemic Risks: Concentration of economic activity among a few dominant AI agents could create new systemic vulnerabilities in the crypto ecosystem.

  5. Technological Prerequisites: This vision depends on advances in AI capabilities, particularly in reasoning, security, and autonomous operation.

Strategic Outlook for Investors

Dragonfly’s thesis represents a maturation of crypto’s value proposition—from replacing traditional finance to creating entirely new economic systems with AI agents as primary participants. This suggests several strategic implications:

  1. Time Horizon: While Qureshi mentions a 10-year timeframe, accelerating AI capabilities could compress this timeline. Investors should position for both near-term infrastructure plays and long-term agent-to-agent economic networks.

  2. Portfolio Diversification: Balance investments in human-facing applications with AI-enabling infrastructure. The latter may offer greater upside as the paradigm shifts.

  3. Due Diligence Focus: Evaluate projects not only for their current utility but their adaptability to AI agent interfaces. Prioritize projects with strong technical foundations and clear roadmaps for autonomous integration.

  4. Regulatory Strategy: Monitor regulatory developments closely, particularly concerning autonomous financial entities. Projects that proactively address compliance concerns may have advantages in the evolving landscape.

Conclusion: Beyond Human-Centric Crypto

Dragonfly’s $650 million fund and Qureshi’s thesis mark a pivotal moment in crypto’s evolution—a shift from replacing human financial interactions to enabling entirely new economic systems with AI agents as primary participants. While challenges remain, this perspective offers a pragmatic path forward that embraces crypto’s strengths rather than fighting against human limitations.

For investors, this signals a new frontier where the most valuable crypto assets may be those that facilitate autonomous economic activity rather than just human speculation. As AI becomes crypto’s primary interface, the market structure, token economics, and value propositions will undergo profound transformation—potentially unlocking trillions in value currently unimaginable in our human-centric financial paradigm.

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