牛津经济研究院-影响AI系列-2025年企业人工智能成熟度指数（英）-2025_29页_16mb

Enterprise AI Maturity Index 2025 Summary

The 2025 Enterprise AI Maturity Index, developed in partnership with HB OXFORD, outlines a framework for AI adoption across organizations. It describes AI as a spectrum from incremental to exponential results, defined by three levels of maturity, emphasizing that AI should augment human capabilities rather than replace them.

Key Principles for Humanizing AI

• Prioritize augmentation over automation to foster human connection and collaboration.
• Use AI as a catalyst for human potential by enhancing creativity, efficiency, and decision-making through reskilling and upskilling.
• Adopt an AI-first mindset to drive business transformation, focusing on holistic organizational changes.

Data and Decision-Making

• Empower frontline employees by incorporating data into routine tasks.
• Integrate multiple data sources for deeper insights.
• Automate workflows with AI + Data, allowing teams to operate more efficiently and make informed actions.

AI Agents and Orchestration

• Specialized AI agents autonomously handle specific tasks but lack holistic context; orchestration is essential for scaling across functions.
• Transition to a human-on-the-loop model, where AI leads task execution and humans provide oversight to mitigate risks.
• Robust guardrails are necessary to ensure human review and validation of AI outputs.

Conclusion

The index highlights that true AI maturity requires a balanced approach, combining AI capabilities with human-centric strategies for sustainable growth. For further details, refer to the appendix.