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AI+DeFi is poised for takeoff, what about AI+stablecoins?

Published 6 days ago6 minute read

Original Author: 0x Jeff

Compiled by: CryptoLeo, Odaily Planet Daily

Editor’s Note: 2025 is the year of the rise of stablecoins. The United States has introduced the "GENIUS Act," and South Korea's new president, Lee Jae-myung, is fulfilling his campaign promise to allow local companies to issue stablecoins. On a national level, with Standard Chartered and Huakong leading the way, and companies like JD.com and Ant Group following, domestic and international corporate giants are exploring the issuance of various stablecoins.

Crypto AI researcher Jeff has analyzed the existing problems in current crypto + AI projects, which are too "AI-friendly and crypto-averse," making it difficult for them to establish themselves in DeFi. Additionally, Jeff has listed noteworthy AI + stablecoin projects,

Stablecoins are one of the most important infrastructures created for cryptocurrencies. Without stablecoins, we would not have a stable currency unit for investors to invest in (which would make it very difficult to build CEX, DEX, Perps, money markets, and any other verticals).

AI+DeFi poised for takeoff, can AI+stablecoins make it?

Stablecoins are rapidly gaining popularity—between 2023 and 2025, the total supply, trading volume, and circulation speed (the frequency of stablecoin transactions) have surged, especially in payments and cross-border transactions.

In addition, we have seen clearer regulatory guidelines and further institutional adoption of stablecoins, such as Stripe launching stablecoin financial accounts in 101 countries, Société Générale planning to launch a dollar-backed stablecoin, and major banks (Bank of America, JPMorgan Chase, Citibank, Wells Fargo) exploring joint issuance of stablecoins. Large enterprises are also exploring stablecoin payment options to reduce transaction fees with Visa and Mastercard.

Recently, CRCL (Circle)'s IPO has also sparked a stablecoin frenzy, attracting more stakeholders. We see further adoption in TradFi while also witnessing some stablecoin innovations emerging in the AI field, aimed at addressing the challenges faced by service providers and users in Web3 AI.

Although AI teams typically design AI tokens as key components of the AI ecosystem (payments, governance, utility), they often allocate fewer resources to DeFi and more to AI products.

Examples:

While these two examples can be seen as flywheels for AI tokens, their volatility due to design can also deter some key participants from engaging. (BTW, these three examples are relatively good, but many AI teams have done quite poorly in token design, especially some fair launch teams).

The increase in the number of tokens in the market, coupled with suboptimal designs, has led to lower liquidity, making it difficult to build DeFi Lego blocks.

MAITRIX---AI Stablecoin Layer

Maitrix has launched an over-collateralized AI native stablecoin (AI USD) tailored for each independent ecosystem, essentially transforming unstable (but high-yielding) AI economies into predictable, composable, and vibrant economies with AI native stablecoins.

Key components of Maitrix:

CDP: Users deposit AI tokens and their derivative assets (liquid-staked or staked AI tokens) through CDP to mint and burn AI USD;

Stablecoin Launchpad: AI projects can create their own AI stablecoins using their native tokens and derivatives;

Curve War ve (3, 3) incentives: ve governance of MAITRIX tokens, emission redirection, and bribery mechanisms similar to ve (3, 3);

StableSwap DEX: Facilitates trading between various AI USD tokens.

Supported AI dollar assets (so far):

More partners are in discussions.

Currently, there is not much detailed documentation on each AI stablecoin use case, but I will provide a detailed technical overview once their white papers are released. For now, Maitrix is the only team building this layer for AI projects and has already established partnerships with top AI ecosystems.

Maitrix is currently gaining attention on the testnet. The public mainnet is about to launch.

With the continuous acceleration of AI development and the expansion of its application scope, the demand for computing resources is also increasing. Data centers and cloud operators need to plan their expansions in advance to meet future demands.

Enterprise-grade GPUs (such as NVIDIA's H100 and H200) are often expensive and require significant funding.

Traditional financing methods, such as bank loans or equity investments, are often slow and complex, preventing data centers from quickly scaling to meet demand. This is where the next two AI projects, Gaib and USDAI, focus.

The first project is Gaib.

GAIB AiFi------the first economic layer for AI and computing power,

Its basic operation is:

Each AID token is backed by a GPU financing trading portfolio and treasury bonds or other liquid asset reserves.

So far, they have accumulated about $22 million in TVL incentive deposits, which exist in the form of "Spice" points, granting investors rights to future airdrop rewards.

Additionally, Gaib has partnered with Aethir and conducted its first GPU tokenization pilot earlier this year. This pilot is merely the tokenization/subdivision of GPUs, as part of its roadmap, expanding into GPU-backed stablecoin "AID."

The second project is USD.AI.

USDAI is a yield-bearing synthetic stablecoin supported by RWA launched by Permian Labs. It is somewhat similar to Gaib but also different,

Permian Labs is backed by metastreet, a top structured credit market providing NFT-backed loans, structured credit for illiquid assets/risk-weighted assets (watches, artworks), and products like Pendle's NFT yield rights transfer (PT YT).

USDAI has not yet launched, but its target yield is an APY of 15-25%, with asset portfolios divided into three stages, from 100% treasury bonds to 100% hardware assets. USDAI employs CALIBER, a system that simplifies the loan/issuance process and complies with legal standards for putting GPUs on-chain.

Odaily Note: CALIBER: Collateralized Asset Ledger: Insurance, Bailment, Evaluation, Redemption. This system is based on Section 7 of the UCC (Uniform Commercial Code) in the U.S., transforming real-world assets (such as infrastructure) into legally valid collateral for on-chain financing through asset tokenization and legal frameworks.

To clarify,

You can fill out the form to apply to become an early user, and USDAI will provide additional rewards for early participants.

Almanak recently launched alUSD, an ERC-7540 version token (an extension of ERC-4626), which is a tokenized AI yield optimization strategy,

AIxFI project, a vault that can automatically deploy USDC in DeFi protocols. Initially based on rules, it will gradually introduce AI for decision-making.

We are likely to see the rise of another project, Ethena, focused on leveraging GPUs to bring high yields to stablecoins. More importantly, how they manage their 1:1 dollar peg and ensure the price returns to $1 in critical situations.

In the future, we will also see more tokenized AI strategies emerge. We have already witnessed AI optimizing yields better while considering gas fees, rebalancing costs, slippage, and other dynamic variables. Imagine tokenizing these strategies into highly composable "vaults," which can serve as collateral and be recycled for 5-10x leveraged yields.

As participants like Maitrix build stablecoin infrastructure for top AI ecosystems, we will begin to see an increase in Web3 AI liquidity. More AI value will start to become more composable and flow into DeFi, enhancing the value addition of the entire Web3 ecosystem.

While these teams are very interesting, risk/peg management/redemption/liquidation mechanisms are crucial when it comes to stablecoins. Conduct a thorough risk assessment before deciding to invest.

ChainCatcher reminds readers to view blockchain rationally, enhance risk awareness, and be cautious of various virtual token issuances and speculations. All content on this site is solely market information or related party opinions, and does not constitute any form of investment advice. If you find sensitive information in the content, please click "Report", and we will handle it promptly.

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