从人工智能中释放价值所需的智能高速公路

The intelligent superhighway you needto unlock value from AI Authors Manish SharmaChief Strategy and Senthil RamaniChief Offerings and Manish Sharma is Chief Strategy and Services Officerfor Accenture. Known for his expertise in and passionfor reinvention, rigor, and responsible businesspractices, Manish leads innovation and strategyfor Accenture, as well as Reinvention Services—the integrated business unit that brings togetherAccenture’s Strategy, Consulting, Song, Technologyand Operations services worldwide. With Manish’sleadership, Reinvention Services delivers unique Senthil “Sen” serves as Chief Products Officer atAccenture, where he oversees an $8 billion portfoliospanning investments, ventures, and acquisitions.His work is focused on generating differentiatedintellectual property and driving agentic revenue With decades of experience in technology-ledtransformation, Sen has helped organizationsbuild resilient digital cores, craft forward-lookingstrategies, and cultivate future-ready talent. Hisleadership has enabled enterprises to become AI- Recognized globally as one of the top 25 leadersin Artificial Intelligence consulting, Sen holds amaster’s degree in operations research from ArizonaState University and completed the Advanced A more than 30-year veteran of Accenture, Manishpreviously served as CEO of The Americas, thelargest of Accenture’s worldwide geographic markets Manish earned both a bachelor’s degree inmechanical engineering and a master’s degree in Contributors Amit Bansal, David Cordero, Karalee Close, Rami ElDebs, Harsh Kar, Derrick Khoo,Satish Lakshmanan, Vivek Luthra, Nina Raphael, Sohini Raychaudhuri, Gavin Stephenson, Anupa Upadhyay Research & editorial team Mamta Kapur, David Kimble, Regina Maruca, Michael Moore, Emily Thornton, Meredith Trimble Every executive today is living through some version of artificial-intelligencewhiplash. The technology is moving at highway speed. Inside mostcompanies, however, progress remains slow and uneven. Many experience The limitation is not the technology but the roadbed. Decades ofdata debt, brittle systems, undocumented processes and outdatedskills form a congested highway no model, no matter how powerful,can outrun. Few organizations have scaled AI seamlessly across 86%of organizationsplan to increase AI To take full advantage of what AI has to offer, enterprises need anintelligent superhighway. AI is advancing faster than organizationscan absorb it. To capture anything close to its economic promise, The stakes are rising. Nearly nine in ten organizations (86%) planto increase AI investment in 2026, and most view AI as beneficialto revenue growth. Yet only 21% report redesigning end-to-end Our research and experience across some 6,000 AI engagementsreveals five truths that separate companies accelerating ahead from Material financial impactfrom AI is backloaded1. The first truth is that AI’s enterprise-level financialimpact is backloaded. Meaningful value on the incomestatement follows the enterprise modernization required A major regional bank illustrates the point. After morethan a year of pilots in enabling corporate functions withminimal returns, it adopted a practical roadmap linkingeleven priority workflows through a unified intelligence An energy provider operating in a reliability-critical sectorfollowed a similar logic. Rather than scaling early winsprematurely, it modernized its digital core and connected Meaningful value on the incomestatement takes 12 months or more. Most organizations are not2. Most organizations remain operationally unprepared foradvanced AI because the way work currently moves throughthe enterprise is incompatible with intelligence at scale.About 70% of technology budgets still support legacy 70%of technologybudgets still Until decision logic and process flows are explicitlycaptured and integrated into systems, AI pilots performwell inside isolated tasks but falter when asked to traverse Global leader in water treatment and hygiene solutionsEcolab, for example, redesigned its lead-to-cash workflowwith orchestrated utility, super and conductor agents that Success comes from3. The third truth is that AI delivers meaningful impact onlywhen built on strong foundations. Companies pullingahead are not chasing the latest model. They investin the conditions that allow any model to perform: areinvention-ready digital core characterized by cleandata, modern architectures, disciplined governance, Leading UK bank NatWest Group demonstrates thiseffect. By replacing fragmented systems with a single,bank-wide data platform, the bank is creating a trusted When data provides consistentcontext, it drives better decisions. AI value depends onreinventing talent and work4. The fourth truth is that unlocking AI value dependson reinventing talent and work. Technology does nottransform enterprises; people do. Yet only one-third of 1/3of executives say theirtalent strategy is fully Most organizations