Ethereum Network Takes The Crown As The Home Of On-Chain AI Agents

bitcoinistPubblicato 2026-02-27Pubblicato ultima volta 2026-02-27

Introduzione

Ethereum is emerging as the dominant hub for on-chain AI agents, expanding beyond its DeFi roots. A recent report highlights that it hosts over 27,300 AI agents, significantly more than other major chains like Base and BNB Smart Chain. When combined with its Layer 2 networks, the Ethereum ecosystem supports the vast majority of all on-chain AI activity. Analysts note that AI agents thrive on Ethereum due to its deep liquidity, battle-tested infrastructure, and strong network effects. Bitmine Immersion is positioned to benefit from this trend, holding 4.4 million ETH and building staking network MAVAN to support Ethereum’s next phase and the growing ecosystem of AI-driven economic transactions.

Ethereum network dominance is turning out to be constructive rather than speculative as the blockchain expands beyond its Decentralized Finance (DeFi) stance. After dominating as a leader in on-chain finance, the network is now leading AI innovation.

AI Innovation Accelerates On The Ethereum Network

As the blockchain landscape expands, the Ethereum network is taking the spotlight in terms of Artificial Intelligence (AI) innovation. A recent report indicates that the blockchain is emerging as the primary hub for on-chain AI agents, suggesting an expansion beyond its roots in DeFi.

Compared to other chains, ETH is gradually becoming the home for these projects, surpassing them by a long shot. More autonomous, revenue-generating AI systems are being constantly hosted and supported by the blockchain.

As seen on the chart shared by Leon Waidmann, a data analyst and the head of research at Lisk, the number of AI agents on Ethereum has reached 27,315. Other major chains, such as Base, Monad, MegaETH, and BNB Smart Chain, have recorded 19,499, 8,348, 8,150, and 6,689 in AI agents, respectively. With this figure, the ETH network now handles 40% more AI agents than the chain in second spot.

Source: Chart from Leon Waidmann on X

However, this may be larger than it looks. Base, along with Arbitrum, Scroll, Linea, and MegaETH, is an Ethereum Layer 2, which means the ETH ecosystem accounts for the vast majority of all on-chain AI agents when put together.

During this period, discussions regarding a haven for the AI agents. Providing an answer that aligns with that of the market, Waidmann stated that these agents live where the liquidity is, where the smart contracts are battle-tested. In addition, this is where the infrastructure is deepest and where the network effects are at their strongest.

Bitmine In The Center Of The AI Agents’ Growth

BMNR Bullz has revealed on X that Bitmine Immersion is positioned for Ethereum’s next phase and AI agents. With the internet shifting from moving information to moving value, the company is emerging as a pioneer of the transition. Previously considered as separate trends, blockchain, stablecoins, and AI are now converging into a programmable economic system where transactions, settlement, and capital allocation occur natively online.

The world is seeing a change with tens, potentially hundreds, of billions of AI agents set to interact and perform economic functions over the internet. These agents will need to work with programmable money, open settlement, and neutral infrastructure, not legacy rails, and this is where Ethereum comes in.

This is structurally bullish for ETH, and Bitmine was built around that reality. Bitmine boasts roughly 4.4 million ETH, marking about 3.7% of the total supply. There is zero debt and no forced selling through cycles from the company; therefore, reserving liquidity to accumulate during drawdowns. Furthermore, the firm has locked away 3 million ETH in staking, earning native yield.

Beyond holding and staking, Bitmine is building a staking and validation network, MAVAN, created to bolster its assets and expand to stake other companies’ crypto over time. This network will position the company at the forefront of ETH’s next phase and AI agent, and as part of the infrastructure layer supporting external capital.

ETH trading at $2,038 on the 1D chart | Source: ETHUSDT on Tradingview.com

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Domande pertinenti

QAccording to the article, which blockchain network is leading in on-chain AI agents and by what margin?

AThe Ethereum network is leading in on-chain AI agents, handling 40% more AI agents than the chain in second place.

QWhat key reasons does Leon Waidmann give for why AI agents are primarily on the Ethereum network?

ALeon Waidmann states that AI agents live where the liquidity is, where smart contracts are battle-tested, where the infrastructure is deepest, and where the network effects are at their strongest.

QWhat company is highlighted as being positioned for Ethereum's next phase and AI agents, and how much ETH does it hold?

ABitmine Immersion is highlighted, and it boasts roughly 4.4 million ETH, which is about 3.7% of the total supply.

QBeyond holding ETH, what specific network is Bitmine building to support its position in the ecosystem?

ABitmine is building a staking and validation network called MAVAN to bolster its assets and expand to stake other companies' crypto.

QWhat major shift on the internet does the article mention that is creating the need for AI agents to work with programmable money?

AThe article mentions that the internet is shifting from moving information to moving value, which requires AI agents to work with programmable money, open settlement, and neutral infrastructure.

Letture associate

CPU Makes a Comeback to the Table, A $170 Billion "Power Seizure" Drama Begins

A new era is dawning for the server CPU (Central Processing Unit), driven by the shift from AI model training to large-scale reasoning and the rise of Agentic AI. This article explores how the CPU is reclaiming a central role in the AI data center. For years, the focus has been on the GPU (Graphics Processing Unit) for AI training. However, as AI moves to the inference and Agent phase—where tasks involve complex, multi-step reasoning, tool calls, and data management—the workload balance is flipping. Studies show CPUs now handle over 70% of the workload in Agentic AI, up from 10-30% in training. This is because Agent tasks generate massive intermediate data (KV Cache) that exceeds GPU memory, forcing it to be offloaded to the CPU's larger, more scalable memory pools. This increased importance is translating into market changes. Major players are taking note: NVIDIA launched its first standalone CPU line, Vera, based on ARM architecture and optimized for Agent performance. AMD doubled its server CPU market forecast to over $1200 billion by 2030. Analyst reports project the total server CPU market could reach $1700 billion by 2030, with AI-driven demand being a primary driver. Furthermore, the classic ratio of CPUs to GPUs in AI servers is rapidly changing, converging from 1:8 toward 1:1 for Agent deployments. This surge in demand has led to a rare industry-wide price increase of 10-15% for server CPUs from Intel and AMD, breaking a decade-long trend of "more performance for the same price." Demand is bifurcating into high-core-count CPUs for in-rack GPU support and moderate-core CPUs for standalone Agent task orchestration. In China, this global trend presents an opportunity for domestic CPU manufacturers like Hygon (海光信息) and Huawei Kunpeng, who are bolstered by both growing AI infrastructure needs and national policies promoting technological self-reliance ("xin chuang"). The maturity of their software ecosystems is also accelerating, evidenced by faster adaptation to new AI models. In conclusion, the narrative is shifting from a GPU-centric view to one where CPU-GPU synergy is critical. The CPU is no longer a peripheral component but a performance-defining bottleneck and a key growth driver in the AI hardware stack, opening a massive new market estimated in the hundreds of billions of dollars.

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TechFlow Intelligence: AMD AI Director Publicly Criticizes Claude Code for "Becoming Dumber and Lazier", Trump Claims Full Ceasefire in Hormuz But Strait Still Has 80 Unexploded Mines

TechFlow Intelligence Report: This daily digest covers key developments in AI, crypto, hardware, and geopolitics. In AI, SK Telecom faces US export control scrutiny over its partnership with Anthropic, while a Gemini user reports being misled in a scam scenario, sparking safety debates. China's Z.AI launches the GLM-5.2 model, rivaling Claude Opus without NVIDIA chips. In crypto, Bithumb lists ReProtocol, and Upbit delists KernelDAO. On the hardware front, MIT researchers build a custom OS to study chips, ASML denies US claims its advanced lithography machines are in China, and Amazon considers selling its in-house AI chips. Apple's future A21 Pro chip may use TSMC's latest N2P process. Major tech issues include 10,000 GitHub repositories distributing malware and Apple patching a critical eavesdropping flaw in Beats earbuds. US stocks rise, led by semiconductors, with Intel surging 10.6%, while SpaceX falls 3.5%. Geopolitically, despite a US-Iran deal, the Strait of Hormuz remains risky with ~80 uncleared mines, stalling 80M barrels of oil on standby tankers. Iran postpones Switzerland talks, and Trump calls the agreement an "unconditional surrender." The report highlights a contrast: temporary geopolitical calm versus the ongoing, fundamental restructuring of tech supply chains and chip independence.

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