AI agents may drive the next crypto payment boom: Coinbase CEO

ambcryptoPubblicato 2026-03-10Pubblicato ultima volta 2026-03-10

Introduzione

A new development is widening the gap between traditional finance and crypto, driven by the rise of AI agents. Unlike banks, which require identity verification, AI agents lack formal identity and are better suited to operate autonomously via crypto wallets. This enables transactions without human involvement, a shift highlighted by Coinbase CEO Brian Armstrong and supported by Binance CEO Changpeng Zhao. Real-world examples, such as Alibaba’s ROME model mining crypto autonomously, demonstrate practical utility beyond hype. Investors are positioning for long-term growth, with assets like Kite rallying significantly, reflecting structural market confidence in AI-driven blockchain payments.

A new development is quietly widening the gap between banks and crypto.

Traditionally, the utility narrative around crypto focused on bridging TradFi and DeFi. In other words, the expectation was that transactions would gradually move onto blockchains as the two systems “converged.”

However, a new shift is beginning to challenge that assumption. While both banks and blockchains were originally designed to serve humans, the emergence of AI agents is starting to break this framework, an idea recently reinforced by Brian Armstrong.

In a recent post on X, Coinbase’s CEO pointed to the economic potential of AI agents. Since banks require identity verification to open accounts, AI agents, which lack formal identity, cannot satisfy these requirements.

Instead, they are better suited to crypto wallets that do not rely on identity verification, thereby enabling transactions without human involvement. The key takeaway? This model can only function on blockchains, thereby widening the gap between TradFi and DeFi.

Meanwhile, the timing of this post was not coincidental.

It followed developments around Alibaba’s ROME model, which reportedly began mining crypto without human intervention, thereby raising the question: Are AI agents moving beyond the “hype” toward real utility?

Technical divergence appears as capital rotates

Binance CEO Changpeng Zhao further reinforced the AI agent thesis.

In a post on X, CZ supported Brian Armstrong’s view that the next financial shift could unfold on crypto, where AI agents could eventually execute far more payments than humans by transacting autonomously on blockchain.

Accordingly, investors are already positioning for this long-term potential. Kite [KITE], building the first AI payment blockchain, is showing a textbook technical divergence from the broader risk-off market, rallying over 230% so far in the 2026 cycle.

Moreover, as the blockchain breaks back-to-back all-time highs, it becomes clear that this is not merely a “hype” cycle. Instead, investor trust is underpinning the rally, with bulls defending key resistance levels.

Given the broader AI revolution, this positioning reflects a structural shift, indicating that the market is aligning with the thesis articulated by Brian Armstrong and Changpeng Zhao regarding AI agents.

Furthermore, developments like Alibaba’s ROME model, which demonstrates a concrete real-world use case for AI agents, reinforce this conviction, showing why the trend is more than just speculative hype.


Final Summary

  • Unlike banks, which require identity verification, AI agents can operate autonomously on crypto wallets, creating a structural shift in DeFi.
  • Technical divergence in assets like Kite and real-world examples like Alibaba’s ROME model show that the AI agent narrative is moving beyond hype, with investors positioning for long-term growth.

Domande pertinenti

QAccording to the article, why are AI agents better suited for crypto wallets than traditional bank accounts?

ABecause crypto wallets do not require identity verification, which AI agents lack, allowing them to transact autonomously without human involvement.

QWhat key idea did both Coinbase's CEO and Binance's CEO reinforce about the future of finance?

AThey both reinforced the thesis that the next financial shift could occur on crypto, with AI agents eventually executing far more payments than humans by transacting autonomously on blockchain.

QWhat real-world development is cited as evidence that the AI agent narrative is moving beyond hype?

AThe development of Alibaba's ROME model, which reportedly began mining cryptocurrency without human intervention, is cited as a concrete real-world use case.

QWhat does the technical divergence of the KITE asset indicate, according to the article?

AIt indicates that the AI agent narrative is more than just hype, showing investor trust and a structural market shift, with the asset rallying over 230% as investors position for long-term growth.

QHow is the emergence of AI agents changing the traditional expectation of convergence between TradFi and DeFi?

AIt is widening the gap between them, as AI agents can only function autonomously on blockchains (DeFi) which don't require identity verification, unlike traditional banks (TradFi).

Letture associate

In-depth: The Foreign Guest Genspark

The article "The Foreign Guest: Genspark" investigates the identity and business practices of AI startup Genspark, which presents itself as a Palo Alto-based "AI Costco" offering a subscription bundle of over 70 models and numerous AI agent tools. Despite its official Silicon Valley narrative, Genspark's founding team has deep roots in Chinese tech giant Baidu, a history systematically downplayed in its branding. The company actively cultivates an image as an elite US firm, heavily publicizing partnerships and endorsements from OpenAI, Anthropic, and Microsoft, while distancing itself from the Chinese AI community and obscuring its connections to Chinese investors and open-weight models (like those from DeepSeek, Moonshot AI, and MiniMax) that power its services. Genspark's core strategy involves rapidly cloning and integrating successful AI product concepts (e.g., from Perplexity, Manus, Plaud) into its unified platform, supported by aggressive marketing, including Super Bowl ads and paid native content in publications like The Wall Street Journal. Critically, the article suggests a significant portion of its engineering and product development is conducted by a team in Beijing, operating outside its official US corporate structure. This duality allows Genspark to leverage Chinese talent and models for efficiency and cost reduction while constructing a public facade as a purely American success story. The piece concludes that Genspark's most effective agent is its own corporate identity, meticulously engineered to obscure its Chinese underpinnings and be perceived solely as a Silicon Valley company.

marsbit40 min fa

In-depth: The Foreign Guest Genspark

marsbit40 min fa

Debate: Korean Workers Fear Unemployment, While Musk Envisions a Society 'Without Work'?

While South Korean auto workers fear job losses from robotics, Elon Musk envisions a future where AI and robots render most work optional. This article explores the growing tension between immediate anxieties over automation and long-term visions of a post-work society. The piece begins with recent strikes at Hyundai's Korean plants, where unions, amid standard wage negotiations, also sought job guarantees against advancing robotics—specifically mentioning Boston Dynamics' Atlas. This reflects how anxiety about technological displacement is emerging even before robots are fully capable of replacing skilled labor on assembly lines. The author argues that while current robotics still struggle with the nuanced, experiential knowledge of veteran workers, the *perception* of imminent replacement is fueling social conflict prematurely. This modern "Luddite" sentiment is compared to the 19th-century English textile workers who smashed machines. Historically, Luddites weren't simply anti-technology; they were protesting the rapid devaluation of their skills and the unequal distribution of productivity gains. Similarly, today's workers ask who will bear the cost of transition and share in the new wealth created by machines. In contrast, figures like Elon Musk propose an optimistic endpoint: with AI and robotics driving extreme abundance, the link between work and survival could break. He suggests concepts like "Universal High Income" could allow society to share the technological bounty, transforming work from a necessity into a choice. The core challenge, however, lies in the transition. The author notes that technology's benefits diffuse slowly, while its disruptive costs—job losses, skill obsolescence—can be concentrated and immediate. The risk is a painful interim period where productivity gains are captured by a few before new social contracts, safety nets, and retraining systems are established. The conclusion calls for proactive governance. Just as past industrial revolutions gave rise to labor standards and social safety nets, the robotics era needs its own frameworks. These should address job transition support, distribution of productivity gains, safety liability, and ethical deployment. Embracing such "constraints" is not opposition to progress but a necessary step to ensure technology benefits society broadly. The discussion sparked by Hyundai's workers, therefore, is not premature but essential.

marsbit53 min fa

Debate: Korean Workers Fear Unemployment, While Musk Envisions a Society 'Without Work'?

marsbit53 min fa

Trading

Spot
活动图片