Navigating AI-Powered Business Transformation: A White Paper

Hong Wang; Dominique V. Turpin; Qi Wang; Ling Fan; Wei Guo; Yuan Ren; Fangzhou Liu; Yi Lu; Zhuo Chen; Elaine LI; Zoe Zou; Yang Zhao; Wen Xiong; Yuanzheng Zou; Keren Zhang

Navigating AI-Powered Business Transformation: A White Paper

Hong Wang (客座编辑)
, Dominique V. Turpin (客座编辑)
, Qi Wang (编辑)
, Ling Fan (编辑)
, Wei Guo (编辑)
, Yuan Ren (编辑)
, Fangzhou Liu (编辑)
, Yi Lu (编辑)
, Zhuo Chen
, Elaine LI (编辑)
, Zoe Zou (编辑)
, Yang Zhao (编辑)
, Wen Xiong (编辑)
, Yuanzheng Zou (编辑)
, Keren Zhang (编辑)

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Although AI is creating unprecedented opportunities for business model innovation, the core logic of evolution still applies: survival of the fittest. Just as organisms had to adapt to fluctuating oxygen levels, companies must continually adapt to the AI-driven shifts reshaping the business environment if they hope to build lasting competitive advantage.
Today, businesses stand at a critical inflection point in the commercial application of AI. On the one hand, AI is redrawing industry boundaries and rewriting the rules of competition at an unprecedented pace. On the other, most companies have yet to identify effective pathways that connect strategic positioning with systematic implementation—trapped in a persistent “value gap” between proof-of concept trials and enterprise-scale deployment.
Among the latest advances, the business application of generative AI (GenAI) has emerged as a focal point of attention—and is the primary subject of this report. Unlike traditional AI, which often functioned as a back-end tool, GenAI has moved to the forefront. Its potential to reduce costs, enhance efficiency, drive growth, and enable business model innovation is becoming visibly evident.
This report aims to provide business leaders with a structured strategic framework for navigating the transition from strategic positioning to value creation in the AI era. It unpacks the key strategic challenges companies face, explores the pathway from early experimentation to scaled deployment, and presents a comprehensive 3×3 Strategy Matrix that systematically maps value creation models across different business objectives and levels of application maturity.
Through deep analysis of diverse case studies, we present a clear strategic roadmap for AI in business: How can companies break through the systemic barriers to AI adoption? How should strategic priorities be aligned with organizational capabilities at different stages of AI development? And how can firms leap from tactical improvement to full-scale strategic reinvention?
The answers to these questions will determine whether companies merely survive—or truly thrive—in an AI-driven business world.

源语言	英语
页数	37
出版状态	已出版 - 5月 2025

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CEIBS AI & Marketing Innovation Research Lab

The CEIBS AI & Marketing Innovation Research Lab is an integral part of the CEIBS Research Centre for AI and Management Innovation. It focuses on the cutting-edge application of artificial intelligence in the marketing domain. By building a broad and diverse ecosystem of collaboration, the lab seeks to drive innovation in both teaching and research.
Through strategic partnerships with enterprises, the lab conducts in-depth studies centered on innovation in practice, drawing on shared resources and responding to the needs of all stakeholders. These collaborations take various forms, including ongoing partnerships with Tezign and DeepZero. Each operates as a distinct project under the lab’s umbrella. The structure of each partnership is determined based on factors such as company characteristics, shared objectives, and donation size.
In the case of Tezign, the depth of planned collaboration and the qualifying donation led to the establishment of the CEIBS x Tezign Generative AI & Business Innovation Initiative, a dedicated research fund that supports joint efforts in AI and business innovation.
Meanwhile, the partnership with DeepZero focuses on co-hosting forums and running simulation-based experiments to enhance both teaching and academic research.
The lab was established not only to meet the current needs of our corporate collaborators, but also to lay a strong foundation for broader future partnerships. We look forward to working with more companies that share a focus on AI and marketing innovation, enabling CEIBS to remain at the forefront of education and research in the digital age. Through such partnerships, we aim to empower corporate partners and alumni companies to seize the opportunities and meet the challenges brought by AI.

Caught in the AI Gap: Why Companies Struggle to Turn
Vision into Action
1.1 Expectations vs. Reality
1.2 The Strategic Chasm in AI Adoption

Pioneers of Change: Best Practices in AI Strategy from
Six Companies
Case 1: A Global Retail Brand
Case 2: A Chinese Furniture Brand
Case 3: Midea
Case 4: Yili
Case 5: L’Oréal
Case 6: Shutterstock

Charting the Course: A Strategic Blueprint for Enterprise
AI Adoption
2.1 Breadth of AI Strategy
2.2 Depth of AI Adoption
2.3 Building an AI Strategy Matrix

Evolution Unbound: Cutting-Edge Horizons of AI-Driven
Business
4.1 Vertical AI and the rise of AI natives will accelerate
disruptive innovation
4.2 From Standalone AI Tools to Intelligent Agent
Collaboration—Enabling Scalable, Systematic Transformation
4.3 Vertical Models as a Company’s “Digital DNA”

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Navigating AI-Powered Business Transformation: A White Paper

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AI时代的商业进化蓝图: 2026白皮书

AI时代的商业进化蓝图

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