2030年的企业：以工程化架构驱动永续创新

Engineered for perpetual innovation How IBM can help IBM has been providing expertise to help organizations winin the marketplace for more than a century. Clients can realizethe potential of AI and better navigate a changing world using IBM is also a global leader in quantum computing, readyto aid clients as they embark on their own quantum journeys. For more information about AI services from IBM Consulting,visitibm.com/services/artificial-intelligence. For more information about AI solutions from IBM Software,visitibm.com/watson. For more information about AI innovations from IBM Research,visit research.ibm.com/artificial-intelligence. For more information about quantum computing from IBM, Aboutthe authors Andy Baldwin drives profitable growth throughAI-enabled offerings, ecosystem collaboration,and market execution. With three decades ofleadership experience, he brings deep expertise Andy Baldwin Global Managing Partner, Offerings and GrowthIBM Consulting Neil Dhar has 30 years of consulting experience,guiding growth, strengthening strategic clientrelationships, and advancing industry-led Neil Dhar Global Managing Partner, AmericasIBM Consulting Ritika Gunnar brings more than a decade ofIBM leadership experience building products,leading technical services, and driving clientoutcomes in data, AI, and automation. Witha strong background in product development General Manager, DataIBM Software Rahul Kalia oversees end-to-end business andtechnology consulting across a major globalmarket. With extensive experience leading globaltransformation programs, cloud and enterprise Managing PartnerIBM Consulting, UK and IrelandKalia, Managing Partner, IBM Consulting, United Kingdom & Irelandlinkedin.com/in/rahulkalia-ibm ble for delivering client value and leading business performance of IBM& Ireland. Our mission is to support our clients drive enterprise transformationcific solutions, enabled by hybrid cloud and AI. IBM UKI Consulting Servicesnce & Supply Chain, Customer Experience, Talent Transformation, Hybrid Cloudnsformation, Application Development & Management, and Business Process James Kavanaugh leads global financialmanagement, corporate strategy, and enterprisetransformation. With nearly three decades at James J. Kavanaugh Senior Vice President andChief Financial Officer Salima Lin leads consulting strategy, acquisitions,and the IBM Institute for Business Value.She has more than 25 years of experience in Salima Lin Managing Partner, Strategy, Transformation,Mergers and Acquisitions, and ThoughtLeadership (IBV) Joanne Wright drives IBM’s enterprisetransformation as the company’s “ClientZero”—delivering USD4.5 billion in savings whilesimultaneously proving how AI and hybrid cloudunleash productivity, innovation, and growth Joanne Wright Senior Vice President,Transformation and Operations, Contents Foreword Executive summary Prediction 1: Competitive pressure willmake big bets non-negotiable. Prediction 2: Today’s productivity gains will fund Prediction 3: The best AI will be one-of-a-kind. Your kind. Prediction 4: AI won’t do all your thinking for you. Prediction 5: Quantum will cause the next seismic shift. Foreword AI-first advantage demands AI isn’t just enhancing the business model.By 2030, it willbethe business model. Across industries, the pattern is the same: AI is changing what companies doand how they do it. Yet a striking blind spot remains. 79% of executives say AIwill significantly contribute to their revenue by 2030, but only 24% can clearly see Mohamad Ali With no clear destination in sight, winning CEOs won’t chase competitiveadvantage. They’ll code it into existence. Senior Vice President That requires tailored technology—digital agents, AI models, and data that capturethe essence of each organization’s business logic. Generic algorithms and off-the-shelf agents alone won’t differentiate. The real advantage (and ROI) comes from AI It’s not about bolting AI onto existing ways of working. It’s pivoting toan AI-first enterprise. Most executives—57%—now say their competitiveadvantage will come primarily from the sophistication of their AI models by 2030. Across industries, leaders are recognizing that the future of business is a hybridof people and software—a lot of software. Every process that can be automatedwill be. Every role will be enhanced by intelligent systems that learn and adapt.But the real advantage will come from how organizations design and orchestratethousands of AI agents that work alongside employees, each one tuned to the It’s this dynamic that will define the winners of the next decade: not deployingthe most powerful technology and making the biggest cuts to headcount, but What does that look like in practice? The following pages detail five predictionsabout what will define the most successful enterprises in 2030—and the steps The dawn of the Today, most organizations are playing a familiar game:bolting AI onto existing proces