• About InfoAI

    I help business leaders and strategists understand which AI developments materially affect business decisions.

    I'm the Founder and Editor-in-Chief of InfoAI, an independent AI publication focused on turning global AI signals into business insights that support better decisions.

    My background spans publishing, technology, and business. It shapes how I approach AI: with an editor's eye for what matters, an interest in how companies operate, and respect for the gap between promising technology and proven results.

    AI news is everywhere. The harder work is establishing what has actually changed, how strong the evidence is, and whether a development calls for a different business decision.

    My work examines developments across AI technology, companies, markets, infrastructure, regulation, and global competition—and what they mean for business leaders.

    At InfoAI, three questions guide my editorial work:

    • What has actually changed?

    • Which assumptions may need to be reconsidered?

    • What does this mean for business decisions?

    A major focus of my work is China's AI ecosystem. I examine how developments in AI models, computing infrastructure, industry, policy, and commercialization may affect global technology competition, enterprise strategy, supply chains, investment priorities, and market structure.

    My core areas of focus include:

    • AI Models and Model Economics

    • AI Agents and Enterprise AI

    • AI Infrastructure and Compute

    • AI Business Models and Industry Transformation

    • AI Governance, Regulation, and Geopolitics

    • China AI and Its Global Impact

    Through InfoAI's English and Traditional Chinese newsletters, I share analysis that connects AI developments with questions of business strategy, organizational capabilities, and practical adoption.

    I value careful sourcing, independent judgment, and a clear distinction between early signals and established results. My aim is to help readers understand the business implications of AI and form their own informed judgments.

    I also welcome research collaborations and professional exchanges with business leaders and organizations exploring AI strategy, industry transformation, and enterprise adoption.

    InfoAI — Turning Global AI Signals into Business Decisions.

    我協助企業主管與策略決策者理解,哪些 AI 產業變化可能對企業決策產生實質影響。

    我是 InfoAI 的創辦人暨總編輯。InfoAI 是一個獨立的 AI 專業媒體,致力於將全球 AI 產業訊號轉化為商業洞察,協助企業建立更好的決策判斷。

    我的工作經歷橫跨出版、科技與企業經營。這些經驗形塑了我觀察 AI 的方式:以編輯的眼光判斷哪些議題值得關注,從企業實際運作的角度理解技術變化,並審慎看待技術潛力與已驗證成果之間的落差。

    AI 新聞隨處可見。更需要花時間的工作,是釐清究竟發生了哪些實質變化、現有證據有多可靠,以及這些發展是否足以讓企業重新思考既有決策。

    我的工作涵蓋 AI 技術、企業、市場、基礎設施、法規與全球產業競爭,並持續分析這些發展對企業決策者意味著什麼。

    在 InfoAI,我始終以三個問題作為編輯工作的核心:

    • 究竟發生了哪些實質變化?

    • 哪些既有假設可能需要重新檢視?

    • 這對企業決策意味著什麼?

    中國 AI 產業生態是我長期關注的重要領域。我持續研究中國在 AI 模型、算力基礎設施、產業發展、政策與商業化方面的變化,分析其對全球科技競爭、企業策略、供應鏈、投資方向與市場結構可能產生的影響。

    我的六大核心關注領域包括:

    • AI 模型與模型經濟

    • AI 代理與企業 AI

    • AI 基礎設施與算力

    • AI 商業模式與產業轉型

    • AI 治理、法規與地緣政治

    • 中國 AI 及其全球影響

    透過 InfoAI 的英文與繁體中文電子報,我持續分享 AI 產業分析,協助讀者將全球科技發展與企業策略、組織能力及 AI 實際導入等問題連結起來。

    我重視審慎的資料查證、獨立判斷,以及清楚區分早期訊號與已驗證的成果。我的目標是協助讀者理解 AI 的商業影響,逐步建立自己的判斷能力。

    我也歡迎與企業主管及相關組織展開研究合作與專業交流,共同探討 AI 策略、產業轉型及企業導入等議題。

    InfoAI — 將全球 AI 訊號轉化為商業決策