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Web3.0Crypto

Challenge Towards Next-Generation Media in Anticipation of Technological Advancements: Interview with Takahito Kagami, CoinPost

2025/03/28 10:00(Updated 2026/06/04 16:05)

Iolite Editorial Team

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Challenge Towards Next-Generation Media in Anticipation of Technological Advancements: Interview with Takahito Kagami, CoinPost
目次
  1. hree Key Areas to Watch in the Web3.0 Sector in 2025
  2. Four Key Metrics in the AI Field
  3. Aiming to build the highest-quality information infrastructure in Japan

hree Key Areas to Watch in the Web3.0 Sector in 2025

What is your outlook on the Web3.0 sector beyond 2025?

Takahito Kagami (hereinafter, Kagami): As cryptocurrency regulations continue to be established in Japan and other countries, trading environments will likely shift back to localized markets like Japan. As a result, the importance of transparency in information disclosure will increase, and the balance between decentralization and investor protection will become more critical. This will lead to an era where projects are evaluated based on highly transparent information.

Within this framework, I am focusing on three key areas. The first is the expansion of security tokens and stablecoin utilization. As legal frameworks for DeFi and Security Token Offerings (STOs) become more structured, tokenization of assets such as securities and real estate is expected to gain traction at the corporate level. Additionally, in the U.S., private stablecoins are being reconsidered due to factors like demand for government bonds, and we anticipate shifts in how major nations promote these assets.

The second area is solving the "Blockchain Trilemma." The Blockchain Trilemma refers to the challenge of simultaneously achieving scalability, security, and decentralization. One promising initiative to address this issue is the JAM (Join-Accumulate Machine) Protocol. This protocol aims to maintain blockchain decentralization while providing high processing power and security, making it a key technology to watch for future developments.

The third area is the integration of Web3.0 and AI. This convergence has the potential to revolutionize data and algorithm management in a decentralized manner, creating new ways to distribute and utilize information. In particular, we foresee significant advancements in AI-driven research and development, along with innovations that enable the secure distribution of data.

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