> **来源：[研报客](https://pc.yanbaoke.cn)** # KPMG Global Tech Report 2026 Summary: Leading in the Intelligence Age ## Core Content The KPMG Global Tech Report 2026, titled *"Leading in the Intelligence Age: Excelling today, shaping tomorrow"*, provides an in-depth analysis of the current state and future trajectory of technology investment and adoption across various industries. It emphasizes the need for organizations to adapt to the rapid pace of innovation and the challenges posed by the Intelligence Age. ## Key Findings ### Tech Maturity Landscape - **Current State (2025):** 79% of organizations are in one of the top three maturity stages across 10 technology categories. - **High Performers:** Represented by 5% of tech executives, these organizations demonstrate advanced implementation of core technologies, mature operational practices, and significant ROI from digital investments. - **Predicted Growth (2026):** The number of organizations in the top three maturity stages is expected to rise to 93%, with 50% aiming to reach the highest maturity level. ### AI Adoption and ROI - **AI Maturity:** 68% of tech executives expect to reach the highest level of AI adoption by the end of 2026. - **ROI Trends:** - High performers achieve an average ROI of 4.5x, even with lower investment relative to revenue. - The average ROI for all organizations is 200% (2x), but it is not linear. - **ROI Zones:** - Early stages: Quick-win zone with smaller, focused investments. - Mid stages: Slower ROI due to integration effort and technical debt. - Late stages: ROI accelerates as maturity improves. ### Challenges - **Tech Debt:** 63% of tech executives agree that fixing tech debt is a barrier to new initiatives. - **Skills Shortages:** 53% of organizations still lack the talent needed to implement digital transformation. - **Strategic Alignment:** There is a gap between C-suite leaders (80%) and senior tech managers (68%) regarding the clarity and communication of AI strategies. ## Main Recommendations ### Emulate High Performers 1. **Address Tech Debt:** Invest in resolving underlying tech debt to reduce maintenance costs and improve ROI. 2. **Innovate with Cost Discipline:** Maintain strong cost management while investing in new and emerging technologies. 3. **Avoid Compromising Core Investments:** Ensure that security, scalability, and data standardization are not compromised in the pursuit of speed. 4. **Demonstrate Value to C-Suite:** Identify and quantify the value of AI and tech investments to secure business sponsorship. 5. **Communicate Value to Stakeholders:** Ensure AI value is effectively communicated to business leaders and shareholders. ### Adaptive Strategies - **Centralized Decision-Making:** High performers prefer centralized or federated models led by IT for prioritizing and planning tech investments (91%). - **Hybrid Models:** A hybrid approach that combines different decision-making models based on the complexity of the decision and organizational maturity can yield better results. - **Invest in Centers of Excellence:** 31% of tech executives plan to increase investment in centers of excellence to foster innovation and support AI initiatives. ### Culture and Change - **Supportive Culture:** Organizations need to build a culture that embraces change and innovation. - **Training and Enablement:** Employees need training and enablement to understand and utilize new technologies effectively. - **Cross-Functional Teams:** Establish small, cross-functional teams with the autonomy to innovate and drive change. ## Strategic Clarity and Communication - **Strategic Clarity:** Clear and communicated AI strategies are essential for driving ROI. - **KPIs for AI:** Organizations should develop KPIs that reflect both direct and indirect value, including metrics for fraud and risk mitigation, and long-term returns. ## Data Foundations for Adaptability - **Data Importance:** Strong data foundations are crucial for adaptive tech strategies. - **Data Priorities:** Tech executives plan to prioritize data analysis and insights, and data-powered forecasting. - **Data Sharing:** Eliminating silos, standardizing data models, and deploying platforms for seamless sharing are key steps to enhance adaptability. ## Conclusion The Intelligence Age is defined by rapid technological advancements and the need for organizations to adapt and innovate. While there are challenges, the report highlights that with the right strategies, clear communication, and a supportive culture, organizations can achieve significant ROI and maintain a competitive edge. The future of technology is not just about what machines can do, but what we want them to do.