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Ethereum’s AI Takeover: How ETH Dominates the Future of Intelligent Finance

Ethereum’s AI Takeover: How ETH Dominates the Future of Intelligent Finance

Author:
CoinTurk
Published:
2025-09-15 10:28:27
8
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Ethereum just rewrote the AI rulebook—and traditional finance didn't see it coming.

Smart contracts now execute AI decisions autonomously, cutting out middlemen and bypassing legacy systems. The network's decentralized infrastructure handles complex AI computations while maintaining full transparency.

Tokenized AI models trade on Ethereum's marketplace, creating entirely new asset classes. Developers build AI dApps that learn and adapt in real-time, funded by micro-transactions in ETH.

Meanwhile, Wall Street still struggles to explain blockchain to their boardrooms—but hey, at least their PowerPoints look polished.

Ethereum doesn't just integrate AI; it becomes the backbone of intelligent, decentralized finance.

$4,518 has taken a significant step forward in the realm of artificial intelligence. The platform has assembled a new team, aiming to intertwine its robust blockchain infrastructure with cutting-edge AI technology.

ContentsThe New Frontier of ethereum and AIEvolving Ethereum’s RoleUnderstanding ERC-8004

The New Frontier of Ethereum and AI

The Ethereum Foundation, the driving force behind Ethereum, has established a new team to transform its network into the backbone for AI. Led by developer Davide Crapis, this team, named dAI, is set to leverage opportunities in the AI economy and application development. In the short term, their focus will be on completing the ERC-8004 standard for seamless AI agent operations, set to debut at Devconnect.

The ambitious long-term goal is to develop Ethereum into the largest decentralized AI infrastructure globally. Today, many leading financial institutions use Ethereum’s platform for payments and tokenization. However, the foundation’s aspirations extend much further.

Davide shared the initiative’s details via his official account:

“Our mission is to make Ethereum the preferred settlement and coordination LAYER for AIs and the machine economy. The team will focus on two main areas:
– AI Economy on Ethereum = Offering payment, coordination, and compliance for AI agents and robots without intermediaries.
– Decentralized AI Stack = Ensuring that the future of AI is not confined to a few organizations, providing open, verifiable, and censorship-resistant alternatives.

We believe Ethereum is as beneficial for today’s AI developers as it is for the future depicted in science fiction. Therefore, we will work closely with ecosystem projects to accelerate progress and challenge the boundaries of research and innovation at the intersection of AI and blockchains. By doing so, we connect two communities often working in parallel.”

Evolving Ethereum’s Role

Ethereum continues its journey of becoming the “Internet’s computer,” having evolved into a massive economy. It also prepares to expand into diverse fields, with AI as the latest endeavor. With real-world asset (RWA) tokenization expected to reach a $2 trillion market by 2028, the AI initiative promises to further elevate Ethereum’s stature.

The Ethereum platform has already established itself as the go-to network for tokenization among major financial entities. It hosts numerous stablecoins, protocols, and enterprises. Should Ethereum make significant strides in AI, its resident cryptocurrency, Ether, is poised for exceptional growth.

Understanding ERC-8004

ERC-8004 focuses on a trustless intermediary layer, spearheaded by Marco De Rossi, Davide Crapis, and Jordan Ellis. Our previous section covered Davide’s pivotal role in its inception.

The aim is to establish an Inter-Agent Protocol (A2A) functioning without corporate boundaries, operating on a security layer. It will feature three on-chain registries: Identity, Reputation, and Verification, with application-specific logic delegated to off-chain components.

“Trust models are modular and layered, offering security proportional to the value at risk for tasks ranging from low-risk (like ordering pizza) to high-risk (like medical diagnosis) tasks. Developers may choose from three trust models: reputation-based systems utilizing client feedback, risk-assured inference validation (crypto-economy), and attestations for intermediaries operating in TEEs (crypto-verifiability).

The current A2A protocol oversees agent authentication, skill advertisement through AgentCards, direct messaging, and a complete task-life cycle arrangement. Adoption by leading tech firms has demonstrated the demand for an open market. However, it currently operates within enterprise boundaries, assuming trust between the Server Agent and Client Agent. To foster an open, cross-enterprise intermediary economy, mechanisms for discovering and trusting agents in untrusted environments are essential. This ERC addresses that need through three primary components deployable on any L2 or Mainnet.” – Ethereum Foundation

You can follow our news on Telegram, Facebook, Twitter & Coinmarketcap Disclaimer: The information contained in this article does not constitute investment advice. Investors should be aware that cryptocurrencies carry high volatility and therefore risk, and should conduct their own research.

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