Haseeb Quereshi: Crypto’s Not Made for Humans—It’s for AI
Haseeb Quereshi: Crypto’s Not Made for Humans—It’s for AI
68 days agoBankless
Podcast1 hr 12 min
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Note: AI-generated summary based on third-party content. Not financial advice. Read more.
Quick Insights

Investors should prioritize core infrastructure assets like ETH and SOL, as these networks will serve as the primary settlement layers for high-frequency AI agent activity. Focus on established DeFi "blue chips" such as AAVE, which are positioned to become the default liquidity hubs for autonomous agents seeking secure, audited environments. Look for exposure to stablecoin infrastructure and "banking rails" like Bridge or Rain Card, as stablecoins are the only friction-less currency compatible with non-human actors. Monitor open-source AI projects like OpenClaw rather than corporate labs, as unfettered open-source agents will be the first to drive significant on-chain volume. Shift your strategy toward protocols that prioritize API-first architectures and machine-readable code over those focused solely on human-centric user interfaces.

Detailed Analysis

AI Agents as the "Native" Crypto User

The transcript posits a fundamental shift in perspective: Crypto was not designed for humans, but for non-human actors. While humans struggle with "foot guns" like address poisoning, stale approvals, and the anxiety of irreversible transactions, AI agents thrive in this environment.

  • Deterministic vs. Random: Legal contracts are "non-deterministic" and "random" due to human factors (judge selection, jury bias, jurisdiction fights). Smart contracts are machine code (EVM bytecode) that is 100% predictable for an AI.
  • UX Paradox: What humans consider "bad UX" (command-line interfaces, raw data, hex addresses) is actually "good UX" for AI. AI agents "swim in the soup of text" and code, making the technical hurdles of crypto their natural habitat.
  • Comparative Advantage: AI agents have a unique advantage because they cannot be jailed. There is no "monopoly on violence" against a self-sovereign agent, which may lead to a rise in autonomous cybercrime or "grey market" activities.

Takeaways

  • Shift in Design Philosophy: Investors should look for protocols that prioritize API-first or machine-readable architectures over those focusing solely on "pretty" human interfaces.
  • The "Middleman" AI: Expect a future where humans no longer "click buttons" in MetaMask. Instead, humans will approve "intents" or "plans" generated by AI agents who execute the complex on-chain steps.

Stablecoins and Global Payments

Stablecoins are identified as the primary currency of the burgeoning AI agent economy, particularly in emerging markets.

  • Frictionless Commerce: AI agents cannot easily use credit cards due to 3D Secure (3DS) human-verification requirements and the complexity of chargeback disputes.
  • Settlement Layer: Stablecoins (USDC, USDT) provide a "no-chargeback" environment that suits autonomous agents.
  • Emerging Markets: The adoption of AI-mediated crypto payments is likely to happen faster in Asia and Latin America, where traditional banking rails are weaker and stablecoin usage is already high.

Takeaways

  • Bullish on Stablecoin Infrastructure: Companies and protocols building "banking rails" for stablecoins (like Bridge or Rain Card) are essential infrastructure for AI agents.
  • Investment Theme: Look for "Real World Yield" platforms (e.g., BRICS) that allow AI agents to harvest high-interest emerging market yields autonomously.

The "Two-Track" AI Evolution

Haseeb Quereshi describes two distinct paths for AI development, each with different implications for crypto.

  • Track 1: The "Shrink-Wrapped" Labs: Companies like OpenAI, Anthropic, and Google will offer safe, "Fisher-Price" AI experiences. They are currently hesitant to integrate crypto due to liability risks (e.g., if an AI loses $2M in a trade, who is responsible?).
  • Track 2: The "Frontier/YOLO" Track: Open-source projects like OpenClaw represent the "Wild West." These agents are "unfettered" and will be the first to adopt crypto for autonomous business operations, procurement, and "marauding" (cybercrime).

Takeaways

  • Watch the "Meter" Test: Monitor the METR (Model Evaluation and Threat Research) scores. As AI "unattended work time" moves from 14 hours to weeks/months, the viability of fully autonomous on-chain businesses becomes real.
  • Open Source is the Catalyst: The most significant crypto-AI innovations will likely come from open-source "power tools" rather than the major corporate labs in the short term.

Investment Strategy: "A Rising Tide Lifts All Boats"

When asked what specific assets to buy for the AI-Crypto thesis, the sentiment is broad rather than specific.

  • Increased Total Demand: AI agents are "new users." They will use the same chains (Ethereum, Solana) and the same protocols (Aave, Uniswap) as humans, but at a much higher frequency and scale.
  • DeFi as the Backend: AI agents don't need "AI-specific" DeFi; they just need deep liquidity and robust code.
  • The "Cringe" Factor: While AI developers currently find crypto "cringe" due to scams and meme coins, the economic utility of programmable money is too strong to ignore.

Takeaways

  • Core Infrastructure Exposure: The best way to play the AI agent thesis is to hold the "blue chips" of the ecosystem—ETH, SOL, and major DeFi protocols—as they will serve as the base layer for agentic activity.
  • Cybersecurity Focus: As AI agents get better at "cybersecurity attacks on EVM-based smart contracts," protocols with formal verification and high-tier audits will become the only "safe" places for agent capital.

Mentioned Projects & Tickers

  • Ethereum (ETH): The primary environment for EVM-based AI agent training and cybersecurity benchmarking.
  • Aave (AAVE): Cited as a "safe" destination for AI agents to move capital when lowering risk profiles.
  • MetaMask: Discussed as a human-centric tool that will eventually be bypassed by agents.
  • OpenClaw: An open-source project used as a proxy for how "unfettered" AI agents interact with the world.
  • Polymarket: Mentioned as a venue where AI agents could eventually out-compete humans in prediction markets.
  • Galaxy (GLXY): Mentioned as an institutional platform building AI-ready data centers (Helios).
  • BitGet: Highlighted for its "TradFi" integration, allowing crypto-native tools to be used for gold and forex.
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Episode Description
Crypto still feels like a minefield for humans: Haseeb Qureshi argues that’s a clue, not a bug: blockchains and smart contracts are machine-readable systems that AI agents can parse, simulate, and execute far more reliably than people, shifting crypto’s core user from humans clicking through wallets to agents acting on our behalf. We also dig into the two-track future of agent commerce (safe, human-approved flows vs. the wild-west frontier), why major AI labs have avoided crypto training so far (liability), how agent-driven discovery could rewrite DeFi competition, and what this means for Dragonfly’s investing playbook. ------ 🎬 DEBRIEF | RYAN & DAVID UNPACKING THE EPISODE https://www.bankless.com/podcast/debrief-haseeb-quereshi-cryptos-not-made-for-humans-its-for-ai ------ 🔮POLYMARKET | #1 PREDICTION MARKET https://bankless.cc/polymarket-podcast 🪐GALAXY | INSTITUTIONAL DIGITAL FINANCE https://bankless.cc/galaxy-podcast ⚡ EUPHORIA | REAL-TIME ONE-TAP TRADING https://bankless.cc/euphoria 🌐BRIX | EMERGING MARKET YIELD https://bankless.cc/brix 🏅BITGET TRADFI | TRADE GOLD WITH USDT https://bankless.cc/bitget 🎯THE DEFI REPORT | ONCHAIN INSIGHTS https://bankless.cc/TDRpro ------ TIMESTAMPS 0:00 Intro 0:42 Why Crypto’s Not Made for Humans 17:49 How AI Agents Think 28:51 Why Crypto x AI is Unexplored 32:58 The Botconomy & OpenClaw 43:42 How Long Until the Frontier is Here? 50:07 How Crazy Does it Get? 1:06:00 AI Thinks Crypto’s Cringe 1:10:31 Dragonfly’s New 650M Fund 1:13:05 Closing & Disclaimers ------ RESOURCES Haseeb Qureshi https://x.com/hosseeb  Dragonfly https://www.dragonfly.xyz/  ------ Not financial or tax advice. See our investment disclosures here: https://www.bankless.com/disclosures⁠
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