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U.S. focuses on OpenAI and Anthropic equity: As government AI exposure increases, the top 5 AI token

2026-10-04 00:50:19
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Trump hinted that the U.S. government may consider taking stakes in artificial intelligence companies such as OpenAI.

According to Time magazine, President Donald Trump said that the U.S. government may consider taking stakes in OpenAI, Anthropic and other artificial intelligence companies. The remarks drew attention to how Washington, D.C., transcends traditional regulation and public policy and becomes more deeply involved in the rapidly growing AI industry.

Previously, the U.S. government had reached an agreement with Intel to obtain a stake in the semiconductor company. Trump hinted that similar plans could also apply to important artificial intelligence companies. This development is expected to increase market interest in the broader field of artificial intelligence infrastructure.

The operation of large artificial intelligence models requires strong computing power, data infrastructure, privacy solutions, and networks that support automated applications. Although there are many decentralized technology projects currently underway in these areas, they are not directly linked to companies such as OpenAI and Anthropic.

Five major encryption projects: laying out decentralized computing and AI infrastructure

The five encryption projects RENDER, IOTA, Akash Network (AKT), Phala (PHA) and Internet Computer (ICP) are in different stages of decentralized computing, data, privacy and AI infrastructure. They vary in degrees of association with artificial intelligence, so they should not be seen as direct beneficiaries of potential government investment in private AI companies. Instead, they represent different paths in computing, data exchange, privacy protection, and decentralized applications.

Render (RENDER): Targeting distributed GPU needs

Render focuses on distributed GPU computing and connects idle graphics processing resources to users with additional needs. As GPU requirements become an important part of AI development, decentralized computing is receiving close attention as large AI models expand.

IOTA (IOTA): Focus on Data and Connected Systems

IOTA focuses on data transmission, IoT devices and machine-to-machine interactions. Its technology is more suitable for data and connectivity in a decentralized economy, and in the future, automated systems may interact more frequently with digital and physical infrastructure.

Akash Network (AKT): Building a decentralized cloud market

Akash Network is a trading market where independent providers provide computing resources, while also providing GPU resources, allowing it to reach a wider range of decentralized cloud computing and service needs. AKT tokens are used in the network for tasks such as pledge and governance, closely linking the value of the token to the operation of its decentralized market.

Phala (PHA): Bringing privacy to computing

The mission of the Phala Network is to build infrastructure and confidential computing capabilities. These capabilities are particularly critical when it comes to artificial intelligence systems that may process sensitive data, especially in industries where data security requirements are extremely high.

Internet Computer (ICP): Expanding Decentralized Application Infrastructure

Internet Computer is a platform that supports decentralized applications and services. In addition, it is also involved in AI applications, such as autonomous software and AI agents.

As governments and key technology companies further increase investment in AI activities, centralized AI developers and the infrastructure behind them may become the focus of attention. However, in addition to Washington's policy trends, the cryptocurrency market also deserves close attention to developments in areas such as decentralized computing, privacy protection, data networks, and AI applications.

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