> **来源：[研报客](https://pc.yanbaoke.cn)** # 2026 Global Leadership Study Summary ## Core Content The **2026 Global Leadership Study** by Harvard Business Impact explores the evolving landscape of leadership development in the context of increasing AI integration across organizations. The study highlights the shift in business priorities, leadership expectations, and the need for new capabilities as organizations adapt to the AI-driven future of work. It is based on a survey of **1,139 senior leaders** from **over 15 countries** and **multiple industries**, with **49%** from organizations generating **\$10 billion or more in annual revenue**. ## Main Trends and Challenges ### 1. **AI at Scale** - Organizations are transitioning from AI experimentation to **enterprise-wide deployment**. - AI is being used to **automate workflows (45%)** and **optimize operational efficiency (42%)**. - **Cybersecurity and data privacy** are becoming critical concerns as AI integration grows. - **Sustainability (ESG)** is also emerging as a key focus area. ### 2. **Aligning Talent with New Ways of Working** - **AI-based talent management** and **internal mobility** are being adopted or expanded by **50%** of organizations. - **Upskilling and reskilling** for future skills are prioritized by **over a third** of organizations. - **Change mindset development** is also emphasized, with **one-third** of organizations focusing on it. - Only **30%** of organizations are actively addressing **employee concerns, trust, or adoption challenges** related to AI, which could hinder successful implementation. ### 3. **Redesigning the Operating Model** - **98%** of organizations report at least a **moderate level of AI integration** into daily workflows. - **33%** of respondents say AI is now **embedded at scale** in core processes. - The shift from **pockets of adoption** to **enterprise-scale integration** is a key challenge for many organizations. ### 4. **AI's Impact Across Organizations** - AI has significantly improved **efficiency and productivity (83%)**. - **75%** of respondents report that AI has had an **observable impact** across various dimensions, including **talent development, decision making, collaboration, and innovation**. - Organizations with **extensive AI integration** are more likely to see **broader impacts**, particularly in **innovation and change management**. ## Leadership Development Priorities ### 5. **The Leadership Readiness Gap** - There is a **gap between strategic and execution capabilities** in AI leadership. - **Integrators** (organizations with deep AI integration) are more likely to report **extensive impact** on innovation and change management. - **Operators**, while making progress in AI adoption, are less likely to translate AI use into **higher-value outcomes**. ### 6. **Redefining Leadership in Real Time** - Leaders are expected to **actively use AI** in **strategic decision making (53%)**. - **Building an AI-ready culture (50%)**, **deepening AI understanding (44%)**, and **accountability for AI outcomes (42%)** are also key expectations. - The **strategic mindset** is crucial for navigating the **human + AI work environment**. ### 7. **Strategic Mindset in an AI-First World** - Leaders need **contextual fluency**, **judgment**, and **adaptability** to guide AI-enabled transformations. - **Emotional and social intelligence (45%)** and **agility and resilience (43%)** are now the **top leadership capabilities** for 2026. - **Sensemaking under uncertainty** and **ethical discernment** are also increasingly important. ## The Human Advantage ### 8. **The Human Advantage in an AI World** - In an AI-driven environment, **human qualities** such as **resilience, emotional intelligence, and contextual understanding** are becoming more valuable. - The ability to **challenge AI outputs**, **build trust**, and **reassure teams** is essential for effective leadership. - **Psychological safety** and **diversity and inclusion** are also important, with **54%** of leaders considering them extremely important. ### 9. **Leading a Human + AI Workforce** - Leaders must **adapt their approach** to manage **human + AI dynamics**. - The top leadership capabilities for AI transformation include: - **Questioning and challenging AI decisions (44%)** - **Managing complex human dynamics amplified by AI (44%)** - **Emotional endurance and resilience (42%)** - **Ethical discernment in AI-enabled decisions (41%)** - **Fostering psychological safety (41%)** ## Leadership Development as a Strategic Engine ### 10. **Developing Leaders to Meet the Moment** - **Leadership development** is no longer just about training but is now a **strategic engine for performance**. - Key training goals for 2026 include: - **Improving productivity (44%)** - **Increasing AI-related skills and knowledge (44%)** - **Creating a culture of continuous learning (43%)** - **Promoting innovation and experimentation (42%)** - **Building a change-seeking organization (42%)** - **Reducing stress and burnout (44%)** ### 11. **Leadership Development as a Strategic Engine for Performance** - Leadership development is now **aligned with business strategy**. - It is expected to drive **faster learning**, **stronger alignment**, and **greater openness to change**. - The focus is on **cultivating leadership capabilities** that are **distinctly human** and **contextual**. ## Key Takeaways - AI is becoming **central to business operations**, but **leadership readiness is still lagging**. - **Strategic mindset** and **execution capabilities** are both essential, with the former being more critical for long-term success. - **Human-centric leadership qualities** are becoming **more important** than ever in the AI era. - **Training programs** must be **designed for scale and impact**, with a focus on **emotional intelligence, agility, and AI literacy**. - **Integrators** are leading the way in **AI transformation**, demonstrating better outcomes in **innovation, efficiency, and change management**. ## Conclusion The 2026 Global Leadership Study underscores that while AI is reshaping how organizations operate, **leadership development** must evolve in parallel to ensure **effective AI integration** and **organizational success**. The future of leadership is **human + AI**, and organizations must prioritize **strategic mindset**, **ethical AI use**, and **emotional intelligence** to thrive in this new era.