Ash Liew

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Ash Liew

Ash Liew (ahboyash) is a and researcher and founder of Memento Research. He is also an investment director at Signum Capital, focusing on and gaming. [1]

Education

Liew received his degree in Economics and Management from the University of Nottingham. [2]

Career

Liew is an investment director at Signum Capital, focusing on the and Gaming sectors. Before joining Signum, he worked as an analyst at Dialectic, a Swiss-based family office. Earlier in his career, Liew was part of the Advisory department at KPMG Singapore. He is also the founder of Memento Research, a go-to crypto research hub. On Twitter, as ahboyash, Liew shares analyses of crypto projects, blockchains, , and Web3. [2] [3]

Memento Research

Memento Research is a platform providing research and consulting services in the sector. Its mission is to deliver insights that resonate with the industry's dynamic and often fast-paced nature. The name "Memento" reflects a dual purpose: capturing significant insights for longevity while embracing the lighthearted, meme-driven culture characteristic of .

The platform targets three primary audiences: retail participants seeking to stay informed about emerging trends and technology, liquid fund analysts needing comprehensive research content, and protocols requiring assistance crafting clear, engaging narratives to communicate their vision. Memento Research combines technical analysis with venture capital perspectives to offer a distinctive approach to understanding and navigating the landscape. [4] [5]

Onchain Agent Economy

Liew analyzed the evolving role of Artificial Intelligence (AI) and its integration with , framing the development of as a significant step toward the "Agentic Age." He examined the state of AI adoption, categorizing it as "Level 2," where replaced individual workers but still required human oversight. Using Spectral Labs' Onchain Agent Economy as an example, he discussed how technology reduced barriers to deploying autonomous , improved community governance, and addressed operational complexities.

He identified challenges in the AI landscape, such as limited accessibility, centralized control, and insufficient monetization mechanisms for creators. Liew argued that integrating AI with decentralized principles could overcome these challenges, enabling autonomous to operate within sustainable, scalable, and inclusive ecosystems. By leveraging agentic protocols, these systems had the potential to redefine economic frameworks, emphasizing self-sustained revenue generation, collaboration, and the diminishing role of human labor. His analysis aligned with broader trends in integrating and AI, highlighting the transformative potential for decentralized, AI-driven economies. [6]

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