穿过AI迷雾，企业如何从「+AI」奔向「AI+」？

Core Insights - The article discusses the disparity between the hype surrounding AI and its actual implementation in businesses, highlighting that many companies are stuck in a "+AI" mindset rather than fully integrating AI into their core operations [1][4][5] - A new AI Adoption Maturity Model (AIM²) has been developed to help companies transition from a superficial use of AI to a more integrated approach, termed "AI+" [2][9] Group 1: Current State of AI in Business - Many companies are investing in AI due to a sense of insecurity, with 50% of surveyed firms citing this as their primary reason for adoption [1] - A significant 95% of organizations involved in Generative AI (GenAI) projects reported no returns, indicating a failure to translate investments into productivity gains [4][5] - The lack of a systematic framework and reliance on intuition rather than data-driven decisions have led to widespread failures in AI implementation [5][11] Group 2: The AIM² Model - The AIM² model provides a structured approach for businesses to assess their AI maturity across five levels and six dimensions, guiding them from "+AI" to "AI+" [9][11] - The model emphasizes the importance of integrating AI into business strategy, operations, and technology, rather than treating it as an add-on [4][9] - AIM² aims to reduce marginal costs by promoting platformization, standardization, and reuse of AI applications [11] Group 3: Industry Examples and Applications - China Pacific Insurance has successfully integrated AI into its operations by merging various data sources, positioning itself strategically in the "big health" ecosystem [7][12] - Ant Group's AI health manager demonstrates the potential of AI to create a closed-loop ecosystem in healthcare, enhancing decision-making and operational efficiency [8][12] - In the retail sector, L'Oréal has localized AI technologies to enhance its market competitiveness, showcasing the benefits of embedding AI within existing ecosystems rather than building new platforms [13] Group 4: Future Directions - The transition to "AI+" requires a fundamental shift in how businesses approach AI, making it a core driver of innovation rather than a supplementary tool [7][14] - Companies that successfully adopt the AIM² model will not only improve their operational efficiency but also enhance their competitive positioning in the industry [15] - The future of AI in business is expected to reshape industry ecosystems, guiding companies to make informed decisions and optimize their AI strategies [14][15]