十周年里程碑:以太坊将如何定义2035的链上生存方式?

比推Published on 2025-07-31Last updated on 2025-07-31

原标题:以太坊十周年:2035,我们将生活在怎样的链上世界?

作者:B圈的咏琪


从“智能合约之父”的技术试验场,走向重塑全球信任机制的数字文明基石,以太坊的下一个十年,正在构建一场更深层的社会变革。

以太坊十周年活动官网:

https://ethereum.org/en/10years

十年回望:从乌托邦实验,到链上文明基建

2015年7月30日,一个名为“Ethereum”的网络正式上线。那一刻,年仅19岁的Vitalik Buterin和数十名开发者在柏林的办公室里见证了区块高度#1028201的诞生,全球第一台“世界计算机”被点燃。

三次重大转折,锤炼出链上“生存法则”:

第一次,DAO危机【2016】:6000万美元被盗,社区撕裂,分裂出以太坊经典(ETC)。这是对“代码是否即法律”最早的哲学拷问。

第二次,ICO泡沫【2017】:ETH价格从8美元飙至1440美元,融资额突破60亿美元。随后市场暴跌超90%,以太坊首次遭遇性能与认知危机。

第三次,The Merge【2022】:“飞行中更换引擎”的奇迹演绎。以太坊从PoW转向PoS,网络能耗下降99.95%,开启通缩时代(ETH净供应减少超30万枚)。

数据见证成长:

指标

2015年

2025年

日均交易地址数

<10,000

超过120万

活跃地址

<5,000

超过2亿

生态DApp数量

<10个

超过8200个

市值排名

100名开外

全球前30大资产之一

图片

技术跃迁:从Layer2扩容到链上体验革新

以太坊正在悄无声息地重构互联网基础层。

Rollup为王:扩容之路不再遥远

一是,Dencun升级(2024):EIP-4844上线,数据blob机制引入,使L2交易成本降低90%+,推动Arbitrum、Base等生态活跃度翻倍。

二是,Rollup双轨制生态:

安全型 Rollup(e.g. ZKSync、Scroll):用于高价值金融协议。

性能型 Rollup(e.g. Base、Blast):用于游戏、Meme币和社交场景。

账户抽象革新交互方式:

EIP-4337让智能合约钱包成为主流,无需私钥管理、Gas费由DApp代付、批量操作一键完成

Vitalik预测:“五年内,99%的用户都将用上智能钱包。”

技术栈进化:RISC-V vs. EVM

EVM逐渐退居“兼容标准”,RISC-V等高效架构主导执行层革新,预计智能合约执行效率提升3-5倍,Gas成本下降70%。


Image

应用扩展:四大引擎重构“链上世界模型”

1. RWA:16万亿美元资产待上链

超70%的链上RWA部署在以太坊生态(CentrifugeMaple等)。贝莱德BUIDL基金、Franklin Templeton基金、三星证券债券基金等,均选择以太坊为底层托管资产。

截至2025年6月,链上RWA规模已达43亿美元,同比增长310%。

2. 数字金库:ETH变身“链上国债”

The Ether Machine计划:将40万枚ETH借壳上市,构建新型链上主权资产,ETH质押机制改革:从32ETH降至1ETH,质押率目标提升至40%+,释放流动性,增强通缩趋势。

3. AI和区块链:构建机器信任与支付系统

ETH将成为AI自主体的“支付底层货币”。Vitalik预计,到2030年AI领域将为ETH持有者带来超12亿美元结算收入

4. NFT再定义:“链上凭证”驱动现实资产确权

教育、医疗、房产、票据、版权等全面NFT化,2024年已超37%的新发行NFT用于“非艺术类确权场景”。


Image

信任重构:以太坊如何参与社会制度与治理模式?

链上治理:从DAO实验到数字国家

  • 乌克兰、爱沙尼亚正在试点ZK投票系统

  • Zuzalu实验:150人社区尝试两个月的链上治理与Token经济互动,提供数字身份-财政-投票一体化原型

到2035年,“链上城市”将成为高自由度治理实验田。

零知识证明(ZKP)+ 数据主权

ZK技术将主导 Web3 隐私保护、身份验证和跨链通信,Vitalik:“ZKP 是我们未来数字社会的身份证明系统。”

2025年成为分水岭:美国国会通过《CLARITY法案》认定ETH为商品;《GENIUS法案》将链上稳定币纳入监管——合规化为机构打开保险柜。

数据揭示疯狂囤积潮:

- 上市公司国库中ETH储备突破73万枚,价值数十亿美元

- BitMine、Sharplink Gaming等机构宣布将ETH纳入战略资产储备

- 现货ETF获批后,机构资金过去1年净流入超过120亿美元。

贝莱德在以太坊上发行BUIDL基金,摩根大通在Base L2推出存款代币——这些举动标志着以太坊正式晋级全球金融基础设施。

同时ETH的现货ETF在质押,大概率会在10月份通过,到时候还会吸引一大批进场的资金

以太坊2035展望(基于VanEck、Messari等预测汇总):


Image

Image

ETH面临的关键挑战与风险预警

第一,AI和区块链失控:AI可自主生成合约、治理提案,可能破坏人类可控性。Vitalik直言:“我对AI的悲观程度正在加深。”

第二,稳定币美元霸权:“链上美元殖民化”已成共识,99%以上稳定币锚定美元。真正去美元化的加密货币体系仍未成型。

第三,技术复杂性门槛高:跨Rollup通信、跨分片一致性、MEV攻击等问题仍待解决。

第四,富人更富效应与中心化:PoS模型易导致“ETH越多越掌权”的现象。需设计更合理的再分配机制。

第五,全球监管碎片化:尽管《CLARITY法案》与欧盟MiCA成典范,但全球范围内协同仍遥远。


Image

2035年的以太坊–数字文明的共同底座

“当开发者构建出用户想要的体验时,我们将真正开始建造对世界有影响的东西。”——Vitalik Buterin

2035年的以太坊,不再只是开发者热衷的协议网络,它将成为人类社会中不可或缺的信任与交易系统:

  • 金融层:托管万亿美元资产,支撑稳定币、国债、支付系统运行

  • 信任层:通过ZK机制验证身份、投票、治理、认证

  • 计算层:为AI经济体提供确定性、不可篡改的执行环境

以太坊的下一个十年,不只是一次技术的进化,更是我们如何重新定义“权力、价值、协作与信任”的共同叙事。

从金融交易到身份验证,从艺术收藏到社会治理,以太坊的触角将延伸至数字世界的每个角落,悄然重塑我们交互、交易和信任的方式。


Image

说明: 比推所有文章只代表作者观点,不构成投资建议

Related Reads

Morning Post | Bitmine Plans to Raise $300 Million Through Preferred Stock Issuance; Polymarket Accuses Kalshi of Commercial Espionage

ChainCatcher's Daily Crypto Brief: Key developments from the past 24 hours include significant funding moves, regulatory actions, and market predictions. Bitmine announced a $300 million preferred stock fundraising. Polymarket accused rival prediction platform Kalshi of corporate espionage, citing numerous suspicious coincidences in product launches, a claim Kalshi strongly denied. The U.S. Department of Justice, in a joint "Disruption Week" anti-fraud operation with companies like Coinbase and Meta, froze over $3.8 million in cryptocurrency linked to scams. In infrastructure news, Macau completed its integration with the multi-central bank digital currency bridge, mBridge, aiming to build efficient cross-border payment channels. Cosmos Labs acquired the block explorer Mintscan. Market-wise, Geoffrey Kendrick, Standard Chartered's Head of Digital Assets Research, stated Bitcoin is nearing a bottom around $63,000, maintaining a year-end target of $100,000. He noted stability in U.S. spot Bitcoin ETF holdings. Ahead of SpaceX's anticipated IPO, internal insiders at Rocket Lab (RKLB) sold over $18.41 million in stock. In tokenization, Goldman Sachs partnered with Apex and Archax to launch a tokenized real estate fund. The meme token tracker GMGN reported the top trending tokens: on Ethereum, HEX, SHIB, LINK, PEPE, mUSD; on Solana, TROLL, swarms, WORLDCUP, neet, Buttcoin; and on Base, PEPE, toby, ODDS, ELSA, SKI.

链捕手6m ago

Morning Post | Bitmine Plans to Raise $300 Million Through Preferred Stock Issuance; Polymarket Accuses Kalshi of Commercial Espionage

链捕手6m ago

55TB to 28TB? The Rumor and Panic Behind Rubin's Memory Being Halved

Title: 55TB to 28TB? The Rumor and Panic Behind the Potential Halving of Rubin's Memory. On June 4th, a report from SemiAnalysis suggested NVIDIA's next-gen Vera Rubin NVL72 AI rack may ship with roughly 28TB of SOCAMM DRAM per rack instead of the anticipated 55TB, primarily using 96GB modules. This sparked a market panic, causing Micron's stock to drop over 10% on fears of halved memory demand. However, the article argues this panic is misguided for several key reasons. First, SOCAMM modules are socketed and upgradeable, not soldered. Lower initial configuration doesn't mean permanent demand loss. Second, the primary driver is a severe 2026 LPDDR5X supply shortage, not diminished need. NVIDIA is likely prioritizing rack shipments with available components. Third, with fixed total LPDDR5X supply, using less per rack could allow NVIDIA to ship *more* racks, not necessarily reducing overall memory orders. Micron's sharp drop was also attributed to a broader semiconductor sell-off triggered by Broadcom's earnings, with the SemiAnalysis report providing a convenient narrative for profit-taking after Micron's massive rally. In summary: the report on lower default configurations is likely accurate, but interpreting it as a demand collapse is wrong. The real risk for Micron lies in its reportedly minimal HBM4 share for Rubin, not in potentially flexible SOCAMM demand. The sell-off appears more like a correction amplified by coinciding negative catalysts.

marsbit23m ago

55TB to 28TB? The Rumor and Panic Behind Rubin's Memory Being Halved

marsbit23m ago

Exclusive from Yingke | Tang Wenbin's 'Yuanli Lingji' Merges with Logistics Robotics Company, and Secures Investment from Zhipu, SenseTime, Jieyue, and Others

Exclusive report: Embodied AI company "Yuanli Lingji" recently completed a new round of financing from major AI model firms including Zhipu AI, Stepfun, and SenseTime, alongside continued investments from industrial backers like Huaqin and SAIC Hengxu. Founded in March 2025 by Tang Wenbin, former co-founder and CTO of Megvii, Yuanli Lingji is a general-purpose embodied AI model company. In a notable move, the company has merged with logistics robotics firm "Atomix" (formerly known as Yuanli Juhe) through a share acquisition. Atomix, which originated from Megvii's logistics robotics business led by Tang in 2016 and was spun off in July 2024, has grown to become the world's second-largest supplier of pallet shuttle robots, with annual revenue nearing 1 billion RMB and over 500 projects globally for clients like Uniqlo and CATL. This merger aims to break the industry's "data deadlock" by combining Atomix's extensive real-world operational data from more than 20 countries with Yuanli Lingji's model training capabilities. The company's embodied AI model "DM0" utilizes a cross-domain training approach, integrating internet semantics, autonomous driving rules, and robotics data to achieve hardware-agnostic, precise manipulation even with a compact 2.4B parameter size. The collective investment from key AI players and the strategic merger signal a shift in the competitive landscape, as major model companies pivot from language tokens to physical actions ("from Token to Action"). The industry is entering a consolidation phase where hardware, AI models, data, and application scenarios converge to scale embodied intelligence, a trend mirrored by recent moves from giants like ByteDance and Skild AI.

marsbit30m ago

Exclusive from Yingke | Tang Wenbin's 'Yuanli Lingji' Merges with Logistics Robotics Company, and Secures Investment from Zhipu, SenseTime, Jieyue, and Others

marsbit30m ago

U.S. Stock Market Trends: Dow Hits New High, Nasdaq Falls, Whom Did Broadcom's Slap Wake Up?

U.S. Stocks Split: Dow Hits Record High as Nasdaq Slips; Broadcom's Plunge Sparks Rotation On June 4, the U.S. stock market saw a sharp divergence. The Dow Jones surged 875 points (+1.73%) to a record high of 51,561.93, while the Nasdaq Composite edged down 0.09%. The S&P 500 rose 0.41%. The primary catalyst was a sharp sell-off in AI-related chip stocks, led by Broadcom (AVGO). Despite reporting a 143% year-over-year jump in AI semiconductor revenue to $10.8 billion, the company's shares plunged about 14%. This was triggered by its maintained long-term AI revenue target, which failed to meet heightened expectations for a stock that had gained 55% this quarter and traded at a high P/E ratio. The slide dragged down the broader semiconductor sector and the technology板块. Conversely, money rotated into sectors like Healthcare (+3.14%), Financials (+2.67%), and Real Estate (+1.87%). UnitedHealth and Goldman Sachs were major contributors to the Dow's gains. The rotation was attributed to a search for value outside overheated tech names and a slight dip in Treasury yields. In other major news, SpaceX confirmed its IPO for June 12, targeting a record $75 billion raise at a ~$1.75 trillion valuation. Additionally, initial jobless claims rose to a four-month high, adding nuance to the labor market narrative ahead of the key May non-farm payrolls report. The day's action signaled that while the AI growth story remains intact, excessive valuations are prompting a market reassessment. Funds are moving, at least temporarily, from high-flying tech to more defensive and value-oriented sectors. The sustainability of this rotation hinges on upcoming economic data, particularly the jobs report, and the market's absorption of the massive SpaceX IPO.

marsbit34m ago

U.S. Stock Market Trends: Dow Hits New High, Nasdaq Falls, Whom Did Broadcom's Slap Wake Up?

marsbit34m ago

From 'Old Dogs' to 'New Darlings': How AI is Revaluing Old Infrastructure, from Dell to Nokia

"Old Dogs" Become AI's New Darlings: Revaluing Legacy Infrastructure The AI investment narrative is shifting. Beyond the spotlight on core chipmakers like Nvidia, a new wave of interest is rising for legacy tech companies—Dell, HPE, Nokia, Cisco, Corning, Western Digital—once labeled as slow-growth, outdated stories. This resurgence stems from AI's evolution from model development to real-world deployment, creating massive demand for physical infrastructure. As AI moves into data center construction and enterprise adoption, the focus turns to who can actually build and deliver complex systems. These established players hold decades of experience in supply chains, integration, networking, and enterprise delivery—assets now critical for scaling AI. The revaluation can be grouped into three key infrastructure areas: 1. **Servers & Integration (e.g., Dell, HPE):** They are becoming essential system integrators, transforming GPUs into full-scale AI servers with networking, power, and cooling, then delivering them to clients. Strong recent earnings and AI-specific revenue/order growth for Dell and HPE underscore this shift. 2. **Networking & Connectivity (e.g., Corning, Nokia, Cisco):** As AI clusters grow, high-speed data transfer becomes paramount. Corning benefits from fiber demand for data center links, Nokia is exploring AI-integrated wireless networks (AI-RAN), and Cisco sees surging orders for data center switches—all critical for efficient AI operations. 3. **Storage (e.g., Western Digital, Seagate):** The AI data explosion requires vast capacity. Beyond high-speed memory (HBM), there's growing need for high-capacity HDDs to store training data, logs, video, and cold/archival data cost-effectively. This revaluation, however, is not a blanket endorsement. True reassessment requires concrete proof: AI-driven orders and revenue growth, upward revisions to company guidance, and sustainable improvements in profit quality, not just top-line sales. In essence, AI is not turning all old tech firms into high-growth stocks; it is selectively re-pricing the "old assets" of companies that are mission-critical for building the new AI infrastructure, transforming their legacy capabilities into renewed growth engines.

marsbit42m ago

From 'Old Dogs' to 'New Darlings': How AI is Revaluing Old Infrastructure, from Dell to Nokia

marsbit42m ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of ETH (ETH) are presented below.

活动图片