IBM商业价值研究院通过对1028名企业高管及8500名消费者和员工的调研，提炼出2026年五大核心商业趋势，为企业把握转型机遇、应对不确定性提供战略 指引。 趋势一：主动拥抱不确定性，将其转化为战略资产。74%的高管认为经济与地缘政治波动将创造新商业机遇，但81%的高管表示这些因素已对2025年技术投 资构成威胁。实时运营能力成为竞争关键，90%的高管认为缺乏该能力将难以保持优势。智能体AI成为核心助力，84%的高管表示其能帮助快速决策与资源 重配，70%的企业计划2026年底前实现AI代理独立执行任务。企业需重构灵活的IT架构与组织结构，让AI具备多源监测与实时建模能力，化不确定性为战略 优势。 趋势二：员工对AI赋能的期待持续提升，而非缩减。各年龄段员工接纳雇主扩大AI应用的比例均为抵触者的两倍，77%的员工能接受当前技术更新速度。AI 为员工带来切实价值，61%的员工认为其接手单调任务，使其能专注高价值工作，48%的员工愿意接受AI管理。员工对技能提升需求强烈，56%愿为优质培 训跳槽，42%甚至接受降薪。企业需聚焦AI无法替代的领域，如判断决策、关系建立等，为新岗位制定灵活的人才发展路径，提升全员A ...

Core Insights - The 2025 (23rd) Influence Entrepreneur Annual Conference was held in Beijing, focusing on the theme "Emergence·Infinity - Co-creating a New Form of Intelligent Business" [1] - Over 100 prominent entrepreneurs participated in nearly 60 discussions, addressing topics such as the rise of artificial intelligence, changes in consumer environments, and how to discover new growth drivers [1][2] - The conference emphasized the transformative impact of artificial intelligence on various industries, highlighting the need for entrepreneurs to rethink value creation and organizational structures [2][7] Group 1: Artificial Intelligence and Business Transformation - The conference theme aligns with the national strategy to implement "Artificial Intelligence+" actions, which aims to accelerate scientific discovery and promote intelligent upgrades in enterprises [2] - Discussions highlighted that AI is reshaping the economic landscape and business logic at an unprecedented pace, necessitating a transformation in corporate strategies and cultures [7] - The emergence of various AI applications, particularly in the transition from large model technologies to intelligent agents, was a focal point of the discussions [6] Group 2: Industry-Specific Insights - The automotive industry is experiencing a dual advancement of oil and electric vehicles, with a notable acceleration in intelligence and export capabilities [3] - The low-altitude economy is transitioning from concept to reality, with discussions on the commercialization of low-altitude scenarios such as logistics and travel [4] - The global expansion of Chinese enterprises is evolving into a comprehensive output of technology ecosystems, value concepts, and global responsibilities [4] Group 3: Cultural Confidence and Corporate Governance - Cultural confidence is closely linked to effective corporate governance, with discussions on how to integrate cultural values into business operations [5] - Entrepreneurs shared experiences on how personal decisions can significantly impact company trajectories and individual destinies [5] - The importance of internal focus and innovation in navigating the complexities of the current global economic landscape was emphasized [8]

Group 1 - Goldman Sachs reports that the next phase of generative AI, termed "Agentic AI," will significantly transform the enterprise software ecosystem [1][2] - Over the next three years, Agentic AI is expected to unlock productivity gains at the application layer, with the global software market projected to expand by at least 20% by 2030 [2][3] - The customer service software market could see growth rates between 20% to 45%, driven by the integration of traditional SaaS and AI agents [2][3] Group 2 - SaaS companies are anticipated to capture a substantial share of the new Agentic AI market, but their innovation pace is critical, and the transition may not be linear [3][4] - By 2030, Agentic AI is expected to account for over 60% of the total software market, potentially becoming the new user interface for knowledge workers [3][4] - Existing SaaS leaders are showing signs of enhancing execution capabilities, indicating a clear strategic market awareness [3][4] Group 3 - The technological architecture for generative AI applications will require a new tech stack, leading to significant changes in existing architectures [4] - The rise of AI platform layers and the improvement of key middleware will be crucial for the development of AI-native applications [4] - SaaS companies must adapt to emerging AI standards and adjust their architectures to successfully integrate into the generative AI enterprise application ecosystem [4][5] Group 4 - Despite current limitations in SaaS giants' transitions due to generative AI technology maturity, these factors are expected to translate into sustained growth momentum after 2027 [5] - Investors are advised to focus on companies such as Microsoft, Google, Salesforce, ServiceNow, HubSpot, Adobe, and several private firms as potential investment opportunities [5]