2026年迈向AI原生的旅程报告-释放你的内在优势_23页_8mb

Summary of "Journey toward AI-Native" by Kyndryl

Core Content

The document outlines Kyndryl's vision for the future of enterprise transformation in the context of rapid technological change, market volatility, and evolving workforce dynamics. It introduces the concept of the AI-Native Enterprise, an organization that reimagines its core operations around AI, enabling agility, resilience, and competitive advantage in a disruptive environment.

Main Points

• Market and Geopolitical Dynamics:

  • Global instability, including wars, tariffs, and regulatory changes, is increasing supply chain risks and operational complexity.
  • Organizations face growing uncertainty and must adapt quickly to remain relevant.

• Competitive Dynamics:

  • Traditional competitors are being challenged by new entrants and nontraditional players.
  • Skills shortages and obsolescence are significant barriers to innovation and growth.

• Technology Dynamics:

  • Legacy systems need modernization to address cyber risks and improve efficiency.
  • AI is rapidly advancing, but leaders struggle to integrate and scale it effectively.
  • Many AI pilots fail to deliver ROI, indicating the need for a more strategic and integrated approach.

• The AI-Native Enterprise:

  • AI is not just an add-on but the core of the enterprise.
  • It enables dynamic, autonomous operations with real-time responsiveness and human oversight.
  • This model redefines IT infrastructure to include digital agents as key assets.

• Key Challenges:

  • Disconnected AI pilots often fail to deliver measurable results.
  • Ambition vs. execution gap persists, with many leaders unprepared for AI's strategic integration.
  • Workforce transformation is necessary as AI reshapes roles and responsibilities.

Kyndryl's Agentic AI Framework

Kyndryl proposes a comprehensive framework to reduce the risks of AI modernization and accelerate the journey toward AI-Native. The framework includes:

• Secure-by-design capabilities
• Composable architecture for flexibility
• Seamless integration with existing systems
• Data sovereignty and governance
• Policy-driven intelligence and transparent decision-making

This approach ensures that AI is not just implemented but orchestrated to deliver real value across the enterprise.

The Three Truths

Truth #1: Every business outcome depends on technology

• Technology is now the driving force behind business results.
• Strong foundational data, security, and interoperability are essential for AI integration.

Truth #2: Big-bang transformations are out; continuous reinvention is in

• Traditional large-scale transformations are failing due to market shifts and complexity.
• Organizations must embrace continuous, incremental evolution in technology, talent, and processes.

Truth #3: The anatomy of the workforce is being rewired

• AI is changing the nature of work, creating both challenges and opportunities.
• Human creativity, collaboration, and judgment remain irreplaceable.
• The role of IT is evolving into a people and agent management function.

Key Differentiators of AI-Native

• Integrated AI agents across workflows and technology, removing silos and enabling real-time decision-making.
• Human oversight remains central to ensure ethical, legal, and strategic alignment.
• Continuous reinvention of business processes and organizational culture is required.

What’s Not Different

• AI does not replace people; rather, it augments their capabilities.
• Security, governance, and ethical AI remain critical, with Kyndryl’s framework reinforcing these principles.
• Leaders will still set strategy and make critical decisions, with AI enhancing their ability to act efficiently.

Kyndryl's Role in the AI-Native Journey

Kyndryl provides:

• Expertise in mission-critical systems and AI integration
• People-centric design and composable architecture for scalable AI adoption
• Security by design and governance to ensure safe and compliant AI operations
• Workforce readiness programs to upskill and reskill employees
• Agentic AI Framework to reduce risks and accelerate ROI

Kyndryl positions itself as a trusted partner, helping organizations transition from isolated AI projects to enterprise-wide AI orchestration.

Conclusion

The AI-Native Enterprise represents a paradigm shift in how organizations operate. It requires:

• A new mindset toward agility and continuous reinvention
• Secure and scalable AI infrastructure
• Workforce transformation to align with AI capabilities
• Strategic leadership to navigate the challenges of AI adoption

Kyndryl is uniquely positioned to help organizations achieve this transformation through its Agentic AI Framework, people-centric approach, and deep industry expertise.

Key Statistics

• 31% of leaders feel unprepared for external risks
• 56%+ of leaders name cyber-attacks as the biggest threat to supply chain stability
• 76% of employers struggle with skills shortages
• 64% of leaders feel unprepared to manage future AI risks
• Only 1% of companies believe their AI investments have reached maturity
• 70% of transformation initiatives fail to meet their goals
• 74% of U.S. CEOs admit they may lose their job if they don’t deliver measurable AI gains
• 8 in 10 companies are using AI, but 9 in 10 AI pilots fail to deliver ROI

Call to Action

Kyndryl encourages organizations to act decisively by:

• Embracing composable architecture
• Investing in people-agent collaboration
• Adopting the Kyndryl Agentic AI Framework to reduce risk and accelerate AI adoption

By doing so, businesses can reimagine their operations, unlock new revenue streams, and build resilient, agile, and competitive organizations for the future.