Why MEV Exists

MEV — maximal extractable value — is a structural feature of public blockchains, not a bug. Block producers have discretion over transaction ordering, and that discretion creates extractable value. This post explains who captures it, how, and what's being built to change the dynamic.
Lewis Jackson
CEO and Founder

Most people encounter MEV only as a symptom: they submit a trade on Uniswap, the slippage is worse than expected, and something happened between submission and execution that cost them money. MEV — maximal extractable value — is the mechanism behind that gap.

The term covers a specific structural feature of blockchains: block producers have discretion over which transactions to include and in what order. On chains with public mempools, that discretion creates extractable value that goes beyond the standard block reward and transaction fees. The question isn't whether MEV exists — it demonstrably does, at scale — it's whether it's a bug, a feature, or something in between. The honest answer is: it's structural.

How the Extraction Works

A blockchain transaction doesn't go directly from your wallet into a block. It sits first in the mempool — a holding area of pending, unconfirmed transactions broadcast to the network. The mempool is public. Anyone running a node can see what transactions are waiting.

This matters because many DeFi transactions are time-sensitive in a predictable way. A large swap on Uniswap will move a token's price in a known direction. A loan approaching liquidation on Aave will become profitable to liquidate at a specific price threshold. An arbitrage opportunity between two DEXes exists for a short window before it closes.

MEV searchers are bots that monitor the mempool for these opportunities. When they identify one, they construct a transaction — or a sequence of transactions — designed to capture the available value. They submit that bundle with a priority fee high enough to get it placed in the right position relative to the target transaction.

The most-documented form is the sandwich attack. A searcher sees a large DEX trade pending in the mempool, submits a buy order directly before it (the frontrun), the original trade executes and moves the price against the original trader, then the searcher sells right after (the backrun). The price impact was going to happen regardless — the trade would have moved the price either way. The sandwich just routes the cost to the attacker rather than into normal market slippage. The original trader received a worse execution price; the searcher captured the difference.

Liquidations work differently — these are competitive races, not sandwiches. Multiple bots watch lending protocols' collateral ratios continuously. When a position falls below the liquidation threshold, the first transaction to call the liquidation function earns the liquidation fee the protocol designed into the system. MEV here isn't about extracting value from a specific user's trade; it's about being fastest to claim a bounty.

Pure arbitrage — exploiting price discrepancies between two DEXes — is the most benign form. The arbitrageur profits, but the byproduct is price convergence across venues. Other users aren't directly harmed by that specific action.

Where the Constraints Live

The hard constraint is architectural: a public mempool plus block producer ordering discretion equals a persistent MEV opportunity. This isn't patchable by upgrading a smart contract or adjusting a protocol parameter. It's baked into how the system works at the base layer.

After Ethereum's transition to proof of stake, Flashbots introduced MEV-Boost — infrastructure that formalized the relationship between validators (who propose blocks) and builders (specialized entities that construct the most profitable block content). This proposer-builder separation means validators don't need to run sophisticated MEV extraction logic themselves; they auction their block slot to the highest-bidding builder. Builders compete by assembling the most MEV-extracted block they can.

MEV-Boost moved extraction from chaotic on-chain gas wars — where bots would bid transaction fees against each other, congesting the network — into an organized off-chain auction. That's a meaningful improvement in predictability. But the secondary effect is concentration: a relatively small number of sophisticated builders construct the majority of Ethereum blocks. That consolidation is a real concern among researchers studying Ethereum's validator decentralization.

What's Changing

Three parallel developments are worth tracking.

Private mempools are the most widespread user-facing response. Services like MEV Blocker, Flashbots Protect, and intent-based execution systems like CoW Protocol submit transactions privately to builders rather than broadcasting to the public mempool — closing the information window that searchers exploit. CoW Protocol uses batch auctions to settle multiple trades together, capturing MEV internally and returning it to users rather than letting external searchers take it. The approach works; CoW's execution quality on large trades demonstrably outperforms naive Uniswap submissions.

ERC-4337 (account abstraction, finalized 2023) introduced bundlers as intermediaries that aggregate user operations before submitting to the chain. This creates a layer where MEV protection can be embedded into the default transaction flow rather than requiring users to actively seek out private endpoints. The full implications are still being worked out.

SUAVE (Single Unified Auction for Value Expression), a Flashbots research project, aims to create an open MEV supply chain where users can express transaction preferences — including ordering requirements — rather than simply broadcasting and hoping. Still early-stage; no production deployment as of early 2026.

Encrypted mempools — where transaction content is hidden until block commitment — are theoretically the most complete solution. Threshold decryption schemes would prevent searchers from seeing transactions before they're finalized. The challenge is latency: decryption adds round-trip time that's hard to reconcile with Ethereum's 12-second slot time at scale.

The direction overall is toward fewer free lunches for searchers and more of the captured value returning to users or flowing transparently to validators. Whether that trajectory holds depends on adoption rates of private execution paths and whether proposer-builder separation develops into a robust competitive market or consolidates further.

What Would Confirm This Direction

Continued growth in private mempool and intent-based execution volume. PBS maintaining a competitive builder landscape — no single entity consistently constructing more than 30-40% of blocks. MEV-protected paths becoming defaults in major wallets rather than opt-in features. CoW Protocol and similar batch-auction approaches gaining meaningful market share on large trades.

What Would Invalidate It

Builder market concentration reaching effective monopoly — one entity dominating 60%+ of block construction consistently would give it enough power to extract MEV preferentially, undermining the auction's competitive character and reintroducing the centralization MEV-Boost was designed to diffuse. A systematic information leak from private mempool services would similarly collapse the user-facing protection case.

Timing

Now: MEV is live and active on Ethereum. Sandwich attacks affect users submitting large trades without private RPC access. MEV-Boost adoption is near-universal among Ethereum validators. Liquidation bots are a mature, competitive market.

Next: Private execution paths (CoW Protocol, MEV Blocker, AA bundlers with embedded protection) are early-adoption phase — real and functional, not yet default.

Later: Encrypted mempools and SUAVE address the root cause more directly than current solutions, but neither has a clear production timeline.

Boundary Statement

This post explains why MEV exists as a structural feature of public blockchains with ordering discretion and public mempools, and maps the infrastructure that has grown up around it. It doesn't argue that all MEV is uniformly harmful — pure arbitrage has positive externalities for price discovery; sandwich attacks don't — nor does it constitute a recommendation on trading platforms, execution routes, or wallet configurations. The mechanisms described are well-documented. The questions about PBS market structure and long-horizon solutions remain genuinely open.

Related Posts

See All
Crypto Research
New XRP-Focused Research Defining the “Velocity Threshold” for Global Settlement and Liquidity
A lot of people looking at my recent research have asked the same question: “Surely Ripple already understands all of this. So what does that mean for XRP?” That question is completely valid — and it turns out it’s the right question to ask. This research breaks down why XRP is unlikely to be the internal settlement asset of CBDC shared ledgers or unified bank platforms, and why that doesn’t mean XRP is irrelevant. Instead, it explains where XRP realistically fits in the system banks are actually building: at the seams, where different rulebooks, platforms, and networks still need to connect. Using liquidity math, system design, and real-world settlement mechanics, this piece explains: why most value settles inside venues, not through bridges why XRP’s role is narrower but more precise than most narratives suggest how velocity (refresh interval) determines whether XRP creates scarcity or just throughput and why Ripple’s strategy makes more sense once you stop assuming XRP must be “the core of everything” This isn’t a bullish or bearish take — it’s a structural one. If you want to understand XRP beyond hype and price targets, this is the question you need to grapple with.
Read Now
Crypto Research
The Jackson Liquidity Framework - Announcement
Lewis Jackson Ventures announces the release of the Jackson Liquidity Framework — the first quantitative, regulator-aligned model for liquidity sizing in AMM-based settlement systems, CBDC corridors, and tokenised financial infrastructures. Developed using advanced stochastic simulations and grounded in Basel III and PFMI principles, the framework provides a missing methodology for determining how much liquidity prefunded AMM pools actually require under real-world flow conditions.
Read Now
Crypto Research
Banks, Stablecoins, and Tokenized Assets
In Episode 011 of The Macro, crypto analyst Lewis Jackson unpacks a pivotal week in global finance — one marked by record growth in tokenized assets, expanding stablecoin adoption across emerging markets, and major institutions deepening their blockchain commitments. This research brief summarises Jackson’s key findings, from tokenized deposits to institutional RWA chains and AI-driven compliance, and explains how these developments signal a maturing, multi-rail settlement architecture spanning Ethereum, XRPL, stablecoin networks, and new interoperability layers.Taken together, this episode marks a structural shift toward programmable finance, instant settlement, and tokenized real-world assets at global scale.
Read Now

Related Posts

See All
No items found.
Lewsletter

Weekly notes on what I’m seeing

A personal letter I send straight to your inbox —reflections on crypto, wealth, time and life.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.