> **来源：[研报客](https://pc.yanbaoke.cn)** # Summary of "The enterprise in 2030: Engineered for perpetual innovation" ## Core Content "The enterprise in 2030" is a report by IBM that outlines five key predictions about how enterprises will evolve by 2030. It emphasizes the shift from traditional business models to AI-first enterprises, which will be defined by their ability to continuously innovate, adapt, and leverage AI to create unique value. The report is based on research from the IBM Institute for Business Value (IBM IBV) and insights from C-suite executives across various industries. ## Main Predictions 1. **Prediction 1: Competitive pressure will make big bets non-negotiable** - By 2030, enterprises will need to make bold, unconventional investments to stay competitive. - AI will be a major driver of revenue, but many executives are uncertain about specific revenue sources. - The focus will shift from incremental changes to rapid experimentation and scaling of new ideas. - Organizations that embrace the unknown will see significant gains in productivity and speed of execution. 2. **Prediction 2: Today's productivity gains will fund tomorrow's industry transformation** - AI-driven productivity improvements will fuel future growth and innovation. - Companies are expected to reinvest these savings into new revenue streams and business models. - The "AI-first flywheel effect" describes how productivity gains lead to further innovation and growth. - AI integration into products and services will transform them into value multipliers for customers. 3. **Prediction 3: The best AI will be one-of-a-kind. Your kind.** - AI capabilities must be tailored to each organization's unique business logic and values. - Generic AI solutions won't provide a competitive edge. - Organizations must encode their intellectual property and proprietary data into AI systems to create irreplaceable value. 4. **Prediction 4: AI won't do all your thinking for you** - AI will enhance human decision-making, but it won't replace it. - The role of leadership will evolve to include AI advisors and co-decision makers. - Leaders must understand how to balance AI's capabilities with human judgment and insight. 5. **Prediction 5: Quantum will cause the next seismic shift** - Quantum computing is expected to revolutionize industries and create new opportunities. - IBM is positioned as a global leader in quantum computing, ready to support clients in their quantum journey. - Quantum will enable faster and more complex problem-solving, potentially redefining entire markets. ## Key Information - **AI-first Advantage**: The future enterprise will be built around AI, not just enhanced with it. It will be a core part of the business model, enabling faster decision-making, real-time course correction, and continuous adaptation. - **Operational Transformation**: The smarter enterprise will operate with a dynamic, modular structure, allowing for rapid iteration and scaling of AI-driven initiatives. - **Shift in Priorities**: Product and service innovation will become the top priority for C-suite executives, while areas like cybersecurity and ecosystems will become table stakes. - **AI Sovereignty**: In the telecom industry, AI sovereignty is a critical issue, as companies seek to maintain control over their data and AI systems. - **Consumer Expectations**: Consumers are excited about AI-enabled services, but they expect transparency and clear governance frameworks. - **Leadership Evolution**: Leaders must adapt to new roles that include working with AI systems and redefining how decisions are made and executed. ## Authors and Leadership Insights - **Andy Baldwin** (Global Managing Partner, Offerings and Growth, IBM Consulting): Emphasizes the importance of AI-enabled offerings and market execution. - **Neil Dhar** (Global Managing Partner, Americas, IBM Consulting): Highlights the role of hybrid cloud, AI, and emerging technologies in large-scale transformation. - **Ritika Gunnar** (General Manager, Data, IBM Software): Focuses on data-driven solutions and innovation in AI and automation. - **Rahul Kalia** (Managing Partner, IBM Consulting, UK and Ireland): Leads transformation programs and fosters high-performing teams. - **James Kavanaugh** (Senior Vice President and CFO, IBM): Discusses the strategic and financial implications of AI and enterprise transformation. - **Salima Lin** (Managing Partner, Strategy, Transformation, Mergers and Acquisitions, IBM Consulting): Drives consulting strategy and innovation in business models. - **Joanne Wright** (Senior Vice President, Transformation and Operations, IBM): Leads the transformation of IBM's internal operations and highlights the impact of AI on productivity and growth. ## What to Do - **Bet big on unconventional ideas**: Explore AI-powered market scanning and deconstruct legacy business models to identify new revenue streams. - **Foster a culture of experimentation**: Encourage rapid MVP development, iterative testing, and performance tracking. - **Build tailored AI solutions**: Use proprietary data and fine-tune AI models to reflect the organization's unique values and business logic. - **Develop automated governance**: Ensure AI systems are transparent and aligned with consumer expectations. - **Leverage AI for continuous improvement**: Use AI to refine processes and anticipate market shifts, turning data into actionable insights. ## Industry Showcase: Telecom - The telecom industry is at a critical crossroads, moving from incremental progress to transformation. - AI will redefine business models, enabling new revenue streams through cross-industry collaboration. - AI-native capabilities will allow telecoms to simulate customer experiences and detect usage patterns in real time. - With growing concerns about data residency and regulatory compliance, telecoms have a unique advantage in AI sovereignty. - The window for leveraging these advantages is closing, and telecoms must act quickly to maintain their leadership position. ## Conclusion The report underscores the necessity for organizations to embrace AI as a fundamental part of their business model. It calls for a shift in mindset from traditional, rigid structures to agile, AI-first enterprises that continuously learn and adapt. The future belongs to those who can harness AI's potential to innovate, create new value, and lead in an ever-changing global economy.