穿过AI迷雾，企业如何从「+AI」奔向「AI+」？

Core Viewpoint - The article emphasizes the need for companies to transition from a "+AI" mindset, which merely adds AI tools to existing processes, to an "AI+" approach that fundamentally integrates AI into business strategies and operations [3][6][12]. Group 1: Current State of AI Adoption - Many companies are investing in AI but are struggling to realize its full potential, with 95% of organizations seeing no return on their GenAI investments [8]. - The primary reason for this stagnation is the lack of a systematic framework for AI application, leading to a focus on technology rather than practical integration into business [9][12]. - A significant portion of companies (50%) adopt AI out of "insecurity," lacking a clear understanding of how to leverage AI effectively [3][4]. Group 2: AIM² Model Introduction - The AIM² model, developed by Shanghai Jiao Tong University and various industry partners, aims to provide a structured approach for companies to assess and enhance their AI maturity [4][15]. - This model consists of a "five-level six-dimensional" framework that guides companies from using AI as a tool to making it a core component of their business strategy [15][17]. - The six dimensions include strategy, organization, data, technology, application, and business, promoting a holistic view of AI integration [17]. Group 3: Transitioning to "AI+" - The transition to "AI+" requires companies to embed AI deeply into their operations, transforming it from a tool into a driving engine for innovation [12][13]. - Successful examples include China Pacific Insurance, which integrates AI into its healthcare and insurance services, and Ant Group's AI health manager that connects various resources in the medical ecosystem [12][13]. - Companies must focus on creating a complete solution that clearly defines the measurable value AI brings to their operations [9][12]. Group 4: Industry-Specific Applications - In the financial sector, companies like Shanghai Bank are using AI for risk management, optimizing credit assessments through machine learning [18]. - The healthcare industry is leveraging AI to enhance service delivery, as seen with Meinian Health's upgrades to its health management systems [18]. - Retail companies like L'Oréal are adapting AI technologies to local markets, enhancing their competitive edge through localized data platforms [19]. Group 5: Future Outlook - The future of AI in business lies in its ability to evolve into an intrinsic capability that drives long-term competitive advantage through ecosystem development rather than short-term technological gains [13][22]. - Companies that successfully implement the AIM² model will not only improve their current operations but also position themselves strategically for future industry shifts [22].