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Coinwy > Blog > Market > Business > Allen Ng Discusses AI and Web3 Trends at EVG
Business

Allen Ng Discusses AI and Web3 Trends at EVG

Thiago Alvarez
Last updated: August 8, 2025 2:33 pm
Thiago Alvarez
Published: August 8, 2025
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Key Points:
  • Main event, leadership changes, market impact, financial shifts, or expert insights.
  • Concise takeaway, up to 13 words.
  • Additional critical impact in 13 words max.

Allen Ng, CEO of Everest Ventures Group, discusses the intersection of AI and Web3 on episode 572, shedding light on future developments with influential projects like Celestia and The Sandbox.

MAGA Finance

The discussion highlights potential impacts on major assets, although no immediate market shifts or regulatory announcements have followed the conversation as of now.

Allen Ng, CEO of Everest Ventures Group, discusses the Future of AI and Web3. His insights are based on significant experience with metaverse unicorns and key tech investments.

“Allen Ng, Co-founder and CEO, Everest Ventures Group, was an early investor & advisor to metaverse unicorns and was instrumental in projects including Celestia, Wormhole, Berachain, Dapper Labs (Flow), Animoca Brands, Immutable, The Sandbox, Yuga Labs, Kraken, and Lukka.”

In this event, Ng’s focus is on industry progress and investment trends. Key members of EVG, including Ruby Cheng and Sean Tao, are involved in ongoing strategic developments.

No immediate financial shifts or regulatory changes were noted as part of this episode. The impact remains primarily within Web3 sectors where EVG holds portfolio interests.

Potential market narrative shifts are observed concerning EVG-related tokens. ETH, BTC, and other investments await potential future repercussions based on AI and Web3 advances.

Current focus remains on aligning strategies with technological advancements. Market observers are keenly watching AI’s integration with Web3 and its broader impact.

Insights suggest gradual integration of AI within Web3 could influence investment strategies. Current data and historical trends indicate potential for iterative growth in associated technologies.

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