人工智能的现状_组织如何重新布线以获取价值（英）-麦肯锡-2025.3_26页_5mb

AI Adoption and Organizational Transformation Summary

Organizations are actively reorienting their structures to capture value from generative AI (gen AI), with larger companies leading the way. Key findings from the McKinsey Global Survey highlight several critical areas:

• AI Usage Trends: More than three-quarters of organizations (78%) now use AI in at least one business function, with gen AI adoption increasing to 71%. IT and marketing/sales functions see the highest usage, while service operations and supply chain management are areas where gen AI is rapidly expanding.

• Value Capture and Governance: CEO oversight of AI governance is most correlated with higher bottom-line impact, particularly for EBIT attributable to gen AI in large organizations. Twenty-eight percent of respondents with AI use report CEO involvement, and organizations are redesigning workflows, with only 21% fully redesigning some workflows. Best practices, such as tracking KPIs and establishing a clear roadmap, are underutilized, but when implemented, they significantly boost value.

• Risk Management: Companies are increasingly mitigating gen-AI-related risks, including inaccuracy, cybersecurity, and intellectual property infringement. Larger organizations are more proactive in risk mitigation but show no difference in addressing accuracy or explainability risks compared to smaller ones.

• Workforce and Hiring: AI-related hiring is on the rise, with C-level executives using gen AI more frequently. Roles like data scientists and machine learning engineers are in high demand, and employees are being reskilled. However, only 38% of organizations expect significant workforce changes due to gen AI, suggesting varied impacts across functions.

• Expert Insights: Experts emphasize that gen AI requires strategic, transformative thinking and strong C-suite leadership. Successful implementation involves comprehensive change management, embedding AI into business processes, and fostering human-in-the-loop mechanisms to validate outputs and mitigate risks. While early stages, companies are beginning to see revenue increases (11-50% growth in certain functions) and cost reductions, but enterprise-wide impact remains limited.

Overall, AI adoption is accelerating, with organizations in early stages of capturing full value. Larger companies progress faster due to better resource allocation, but challenges like talent shortages and risk management persist.