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

How Many Tokens Away Is Yang Zhilin from the 'Moon Chasing the Light'?

The article explores the intense competition between two leading Chinese AI companies, DeepSeek and Kimi (Moon Dark Side), and the mounting pressure on Yang Zhilin, the founder of Kimi. While DeepSeek re-emerged after 15 months of silence with its powerful V4 model—boasting 1.6 trillion parameters and low-cost, long-context capabilities—Kimi has been focusing on long-context processing and multi-agent systems with its K2.6 model. Yang faces a threefold challenge: technological rivalry, commercialization pressure, and investor expectations. Despite Kimi’s high valuation (reaching $18 billion), its revenue heavily relies on a single product with low paid conversion rates, while DeepSeek’s strategic silence and open-source influence have strengthened its market position and valuation prospects, now targeting over $20 billion. Both companies reflect broader trends in China’s AI ecosystem: Kimi aims for global influence through open-source contributions and agent-based advancements, while DeepSeek prioritizes foundational innovation and hardware independence, notably shifting to Huawei’s chips. Their competition is seen as vital for China’s AI progress, with the gap between top Chinese and U.S. models narrowing to just 2.7% on the Elo rating scale. Ultimately, the article argues that this rivalry, though anxiety-inducing for leaders like Zhilin, is essential for driving innovation and solidifying China’s role in the global AI landscape.

marsbit4 h fa

How Many Tokens Away Is Yang Zhilin from the 'Moon Chasing the Light'?

marsbit4 h fa

TechFlow Intelligence Bureau: ChatGPT Helps Amateur Mathematician Crack 60-Year-Old Problem, CFTC Sues New York Regulator Over Coinbase and Gemini

An amateur mathematician, with the assistance of ChatGPT, has solved a combinatorial mathematics puzzle originally proposed by Hungarian mathematician Paul Erdős in the 1960s. This marks another milestone in AI-aided mathematical research, demonstrating the evolving capabilities of large language models in formal reasoning. In other AI developments, OpenAI introduced a new privacy filter tool for enterprise API usage, automatically screening sensitive data. Meanwhile, the Qwen3.6-27B model achieved 100 tokens per second on a single RTX 5090 GPU using quantization, significantly lowering the cost barrier for local AI deployment. In crypto and Web3, the U.S. CFTC sued New York’s financial regulator, challenging its oversight of Coinbase and Gemini—a first-of-its-kind federal-state regulatory clash. Following a vulnerability, KelpDAO and major DeFi protocols established a recovery fund. Tether froze $344 million in assets linked to Iran’s central bank upon U.S. Treasury request, highlighting the centralized control risks in stablecoins. Separately, Litecoin underwent a 3-hour chain reorganization to undo a privacy-layer exploit. In the U.S., former President Trump invoked the Defense Production Act to address power grid bottlenecks affecting AI data centers and dismissed the entire National Science Board, raising concerns over research independence. A retail trader gained 250% on a $600k Intel options bet amid AI-related speculation. Xiaomi announced its first performance electric vehicle, targeting rivals like Tesla. Meanwhile, iPhone users reported devices automatically reinstalling a hidden app daily, suspected to be MDM-related. A Chinese securities report noted that A-share institutional crowding has reached its second-longest streak since 2007, signaling high valuations and potential style rotation. The day’s developments reflect a dual narrative: AI is enabling unprecedented individual breakthroughs, while centralized power structures—whether governmental or corporate—are becoming more assertive, underscoring that decentralization is as much a political-economic challenge as a technical one.

marsbit4 h fa

TechFlow Intelligence Bureau: ChatGPT Helps Amateur Mathematician Crack 60-Year-Old Problem, CFTC Sues New York Regulator Over Coinbase and Gemini

marsbit4 h fa

Trading

Spot
Futures
活动图片