Coinbase CEO Armstrong: 'The Significance of Cryptocurrencies Will Increase Even More in the Era of Artificial Intelligence!' Here Are the Details

cryptonews.ruPubblicato 2026-07-27Pubblicato ultima volta 2026-07-27

Introduzione

Coinbase CEO Brian Armstrong stated that the rapid development of artificial intelligence (AI) will not diminish the importance of the cryptocurrency sector. On the contrary, digital assets are poised to play a much more significant role in the new era. Armstrong emphasized on social media platform X that AI and crypto are not competing technologies but rather complementary infrastructures. He explained that cryptocurrency technology serves as a universal infrastructure, similar to electricity or the internet, and will become a fundamental tool for AI systems to conduct financial transactions in the future. Armstrong argued that the need for digital assets will increase, especially with the proliferation of autonomous AI agents, as existing financial systems are not fully adapted to this new technology. AI agents cannot open bank accounts or wait for international wire transfers, whereas crypto offers a significant advantage as a real-time, programmable payment system. Looking ahead, Armstrong envisions AI agents not only making payments but also autonomously performing various economic operations like fund management, investment deals, trading, financial advising, and fundraising. In this scenario, blockchain and crypto will form the fundamental infrastructure enabling AI systems to conduct secure and seamless financial transactions. The integration of decentralized finance (DeFi), smart contracts, and tokenization applications with AI-based systems is seen as a key develo...

Coinbase CEO Brian Armstrong stated that the rapid development of artificial intelligence technologies will not diminish the significance of the cryptocurrency sector; on the contrary, digital assets will play a much more important role in the new era.

Speaking on the social media platform X, Armstrong emphasized that artificial intelligence and cryptocurrencies are not competing technologies but rather complementary infrastructures.

Armstrong said that artificial intelligence has become one of the most important technological trends of our time, and at the same time, the value of cryptocurrencies continues to grow. According to the Coinbase CEO, cryptocurrency technologies represent a kind of universal infrastructure, similar to electricity or the internet, and will become one of the fundamental tools for conducting financial transactions by AI systems in the future.

Armstrong argued that the need for digital assets will increase, especially with the proliferation of autonomous AI agents, and stated that existing financial systems are not fully adapted to this new technology.

Armstrong said that AI agents cannot open bank accounts or wait for international money transfers to be completed, therefore cryptocurrencies offer a significant advantage as a programmable, real-time payment system.

According to the Coinbase CEO, in the future, AI agents will not only make payments but will also be able to independently perform many economic operations, such as fund management, investment deals, trading, financial advising, and capital raising. In this scenario, blockchain technology and cryptocurrencies will form the fundamental infrastructure, enabling AI systems to conduct secure and seamless financial transactions.

Recently, many technology companies have been working on scenarios where artificial intelligence and blockchain technology can be used together. In particular, the integration of decentralized finance (DeFi), smart contracts, and tokenization applications with AI-based systems is considered one of the most important development directions in this sector.

This is not investment advice.

Crypto di tendenza

Domande pertinenti

QWhat does Brian Armstrong, CEO of Coinbase, say about the relationship between AI and cryptocurrencies?

AHe says they are not competing technologies, but rather complementary infrastructures.

QAccording to Armstrong, why will cryptocurrencies become more important in the age of AI?

ABecause AI agents cannot open bank accounts or wait for international wire transfers, and crypto offers a real-time, programmable payment system suitable for them.

QWhat fundamental role does Armstrong predict for blockchain and cryptocurrencies regarding AI systems?

AThey will form the fundamental infrastructure enabling AI systems to conduct secure and seamless financial transactions.

QWhat are some examples of economic operations that Armstrong believes AI agents will perform autonomously in the future?

AManaging funds, investment deals, trading, financial advising, and capital raising.

QWhat is mentioned as a key area of development in the combination of AI and blockchain technology?

AThe integration of Decentralized Finance (DeFi), smart contracts, and tokenization applications with AI-based systems.

Letture associate

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This article discusses a real-world experiment by expert Michael P. Frank to test if an AI, specifically GPT-5.6 Sol, could autonomously make progress on a major unsolved mathematical problem: finding a simpler proof for Fermat's Last Theorem. The AI was tasked with exploring specific mathematical pathways and maintaining rigorous notes over approximately 33 hours. However, the session was terminated by OpenAI's systems. The AI itself suggested two possible reasons for the stoppage: excessive resource consumption, or OpenAI having previously failed on similar problems and wishing to conserve computational resources. The AI reported its work primarily involved refining plausible ideas into precise, verifiable statements, most of which were subsequently disproven or excluded—effectively creating a map of dead ends rather than a proof. The incident sparked debate online. Some speculated that OpenAI might deliberately restrict public access to its most powerful models to maintain a competitive edge or avoid regulatory scrutiny, rather than allowing users to potentially solve landmark problems. OpenAI researcher Noam Brown countered this, arguing that a user solving a major problem would be tremendous publicity. Others offered technical explanations, suggesting the termination could be due to standard safety mechanisms preventing infinite loops, or even a known bug in the GPT-5.6 Sol version that disrupts long-running sessions. The story highlights the practical challenges, technical limits, and broader strategic questions surrounding the use of advanced AI for open-ended, high-stakes research.

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Microsoft CEO Satya Nadella warns that companies relying solely on a single AI model could jeopardize their survival. He argues that over-dependence leads to "vendor lock-in," where businesses risk ceding control over their core data, memory, contextual history, and AI usage patterns. This dependence essentially outsources a company's critical thinking and operational know-how to an external provider. The deeper a company integrates with one AI system—feeding it prompts, internal data, and workflows—the more it reveals its unique business methods and competitive edge. This accumulated knowledge could become accessible to the AI supplier. Furthermore, switching providers becomes extremely costly and complex, as companies would need to rebuild their entire AI-augmented workflow, memory, and tool integrations from scratch. Nadella's solution is "decoupling." Companies should separate their proprietary data, memory, and control layer (or "harness") from the underlying AI models. By retaining metadata from every AI interaction, businesses can preserve their operational "brain" or institutional knowledge. This allows them to flexibly use different AI models (e.g., from OpenAI, Anthropic, Microsoft) for specific tasks without losing their accumulated expertise. The core idea: companies can rent the smartest models available, but they must keep their own "brain" and operational control firmly in-house.

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