Haseeb Qureshi Predicts AI-Powered MEV Mitigation Tools in 2026
Haseeb Qureshi of Dragonfly Capital predicts that the convergence of AI and crypto will mature beyond hype, with successful protocols using AI to solve concrete on-chain problems. He anticipates a wave of AI-powered MEV mitigation tools and DAO governance optimizers to emerge by the third quarter of 2026, signaling a shift toward more practical applications.
- Maximal Extractable Value (MEV) is a "hidden tax" on users, with estimates of its economic impact reaching nearly $24 million in a 30-day period on Ethereum alone from December 2025 to January 2026. This value is extracted by entities who manipulate transaction order within a block for profit. Sandwich attacks, a common form of MEV where a user's trade is front-run and back-run, are particularly harmful to traders, causing significant slippage. - The MEV landscape is a significant area of focus for venture capital, with firms like Paradigm backing foundational projects like Flashbots, which aims to mitigate the negative externalities of MEV. Other venture-backed startups in this space include Skip Protocol, which raised $6.5 million to bring MEV solutions to the Cosmos ecosystem. Recently, VC VentureX made a $140 million strategic investment in ZENMEV, a platform focused on MEV-based strategies. - AI is being deployed to predict and mitigate MEV. These systems use machine learning models to analyze mempool data for patterns indicative of front-running or sandwich attacks, allowing for real-time risk mitigation and optimized trade execution. Some solutions are exploring the use of AI to detect gas price spikes and transaction clustering that signal an impending sandwich attack. - On the governance front, AI is being integrated into DAO platforms to improve efficiency and decision-making. For example, Aragon, a platform for creating and managing DAOs, incorporates AI for tasks like summarizing proposals and improving the user experience of governance. Projects like VaderAI are building "Agentic Investment DAOs" that use AI to identify market trends and manage decentralized investments. - Fetch.ai, as part of the Artificial Superintelligence Alliance (ASI), utilizes a mature on-chain voting system where FET token holders can vote on network upgrades and funding proposals. This is part of a broader trend of projects like Olas, which is developing infrastructure for autonomous AI agents to operate and participate in on-chain economies, governed by a DAO. - Industry leaders hold differing views on the role of AI in governance. BitMEX co-founder Arthur Hayes predicts that AI-powered DAOs will revolutionize how economic entities are organized and funded, operating on public blockchains like Ethereum to bypass traditional legal intermediaries. He believes this will lead to the emergence of truly global and transparent capital markets. - Ethereum co-founder Vitalik Buterin, however, expresses a more cautious outlook. He has warned against "naive AI governance," suggesting that AI should be used to augment human judgment rather than replace it entirely. Buterin has proposed using AI to help with analysis and reduce "decision fatigue" for DAO participants but has cautioned against giving AI direct control over funding, citing the risk of exploitation.