> For the complete documentation index, see [llms.txt](https://comm-1.gitbook.io/comm-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://comm-1.gitbook.io/comm-docs/chapter-1-executive-summary-and-industry-vision/structural-challenges-of-traditional-market-making-and-amms.md).

# Structural Challenges of Traditional Market Making and AMMs

<figure><img src="https://4256684967-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fud90iGFWgbBjVqL1AhDh%2Fuploads%2FaG4eFeSLPTtL65jrSAyM%2Fimage.png?alt=media&amp;token=6e2178b2-327d-428a-bf75-4c3f7ae2a98a" alt=""><figcaption></figcaption></figure>

Throughout the evolution of the Web3 financial ecosystem, liquidity has remained the lifeline that determines the viability of decentralized exchanges (DEXs) and decentralized finance (DeFi) applications. However, existing liquidity-provision models face several irreconcilable structural contradictions:

1. **Value Monopoly by Centralized Market Makers (MMs):** In traditional CEXs and early Web3 markets, high-frequency arbitrage, spread capture, and order-flow premiums have been almost entirely monopolized by a small number of top-tier centralized market-making institutions. Retail market-making participants and community capital are excluded from core returns, serving only as passive liquidity fillers.
2. **Impermanent Loss and LVR Extraction in Passive AMMs:** Although AMM protocols such as Uniswap have enabled permissionless liquidity access, static liquidity pools face severe LVR (Loss-Versus-Rebalancing) challenges. Arbitrage and MEV bots continuously extract volatility premiums from liquidity pools, leaving ordinary LPs in a negative-sum situation of “earning yield while losing principal.”
3. **Low Capital Efficiency and Zero-Sum Competition:** Traditional single-token pools and simple two-token pools lack the ability to orchestrate capital across markets and trading pairs. Large amounts of static capital remain idle in low-volume ranges and cannot adapt to the high-frequency volatility of crypto markets.


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