多年AI优势：打造明日企业

Themulti-yearAI advantage Building the enterprise of tomorrow. Table ofcontents This publication is part of our research brief series Journal - Conversations for tomorrow Our flagship journal with curated contentfrom CXOs, policymakers, Nobel laureates,top academics, and startups: Streamlined, data-centric publications witha concise and visual presentation: Long-form publications with detailedactionable recommendations: •10,000 to 15,000 words•In-depth global surveys•15–30 focus interviews of senior executivessharing best practices•Detailed recommendations •5,000 words•Short surveys•Executive quotes•Quick overview of recommendations •Executive and CXO interviews•Multi-perspective essays•Intographics and visual summaries•Trend overviews Who should readthis report and why? The insights are especially relevantfor CEOs, CXOs, and senior executivesin data, technology, strategy, finance,and operations who are navigatingcritical decisions about where toplace bets, how to scale responsibly,and how to balance near-term resultswith long-term transformation. Thereport highlights what distinguishesorganizations that are moving beyondpilots to sustained AI impact. This report is designed for seniorleaders who are shaping theirorganization’s AI agenda andresponsible for turning ambitioninto measurable impact. It examineshow organizations across industriesview AI today, with a focus onreadiness, scaling strategies, andlong-term value creation rather thanshort-term experimentation. Readers will gain practical guidance on accelerating AI adoption, buildingtrust, and effective human AI collaboration, and reshaping ways ofworking to unlock enterprise-wide value. The findings are based on aglobal survey of 1,505 senior leaders at director level and above across 15countries and conclude with actionable recommendations to help leadersadvance their AI journeys. Executivesummary Executive summary AI is a strategic imperative regardless of market sentiment AI is now across the organization Leaders across industries increasingly view AI as a long-term strategic imperative rather than a discretionaryor experimental technology. Our survey shows that, despite short-term uncertainty, confidence remains highin AI’s ability to deliver transformative impact. AI has crossed a critical threshold: for CEOs and CXOs, thequestion is no longer whether to pursue AI, but how to embed it into the fabric of the enterprise. As a result,organizations are accelerating investments to build AI as a long-term operating capability, with more than halfof organizations committing to sustained, multi-year investment horizons. This approach reflects the beliefthat consistent, long-term investment in AI builds cumulative benefits such as deeper capabilities, strongerdata foundations, and accelerated innovation that late adopters will struggle to replicate. Organizations globally are prioritizing AI investments in functions with well-defined processes andmeasurable outcomes. Our survey shows that more than half plan to concentrate AI investments infunctions such as sales and marketing, as well as IT operations. In addition to traditional machine-learning approaches, organizations are also exploring physical AI andother emerging AI technologies. Gen AI has crossed the threshold from pilots to scaled use, with 38% oforganizations already operationalizing Gen AI across their businesses. Agentic AI systems (AI agents withvarying levels of autonomy and human oversight, capable of supporting decision-making) are gainingtraction, with six in ten organizations currently exploring their applications. Similarly, edge AI is drawingin more interest, with nearly half of organizations reporting limited or full deployment across functionsand locations. Organizations are also seen balancing long-term vision with near-term priorities. Leaders are pursuing tacticalinitiatives that deliver quick returns while consolidating programs around high-value areas. Even in theevent of an AI winter (a global decline in AI optimism), most expect continued investment in core capabilitiesand AI-driven transformation, with organizations shifting focus toward proven, scalable areas rather thanexperimental projects. Organizations face a key decision: Should they build AI capabilities in-house or buy them externally?The prevalent AI approach emphasizes building AI applications and capabilities where they createdifferentiation, buying commercial AI tools and platforms where they accelerate progress, andorchestrating proprietary value on top of commodity models. Off-the-shelf offerings are accessible andcost-effective, while in-house development is best for unique, customized, or sensitive use cases. AI budgets are also set to rise. On average, organizations globally expect to allocate 5% of their annualbusiness budget to AI initiatives in 2026, up from 3% in 2025. At the same time, leaders recognize the stakes:failing to scale AI as quickly as competitors could mean missed o