深度报告-2025-11-18-accenture-2025年生成式AI时代企业模式重塑指南报告_34页_4mb

Reinventing Enterprise Models in the Age of Generative AI Summary

The report explores how generative AI (gen AI) is transforming enterprise models, drawing parallels to past industrial revolutions. Gen AI enables enhanced human-AI collaboration, amplifying collective intelligence and unlocking new levels of innovation. Key changes include redefining workflows, jobs, and organizational structures.

Key lenses for understanding gen AI's impact:

• Amplified Intelligence: integrates human and AI capabilities, fostering co-innovation and better decision-making through tools like gen AI agents and connective intelligence networks.
• Dynamic Skills: shortens skills' half-life, requiring continuous learning and adaptive talent strategies, including new job architectures and predictive workforce planning.
• Fluid Boundaries: breaks down organizational silos, enabling cross-functional collaboration and translucent business-technology integration, leading to flatter hierarchies.
• Adaptable Structures: introduces human-machine partnerships and platform-based models, supporting agile operations and scalable reinvention.

Leaders must address how to scale gen AI from proof of concept to real-world impact, emphasizing adaptation, trust, and ethical AI use. Becoming "Reinvention Ready" involves fostering continuous change, preparing the workforce, and reorganizing for fluid and adaptive work environments. Accenture's case studies demonstrate real-world AI-driven transformations, such as its Marketing + Communications function, achieving efficiency gains and reduced costs.

Opportunities for action include reflecting on current gen AI integration, reshaping skills and talent, and investing in change management. By embracing these shifts, organizations can unlock sustainable value, maintain competitive advantage, and navigate constant change effectively.

Key Insights and Conclusions

• Gen AI revolution demands a fundamental rethink of how technology, talent, and processes interact.
• Organizations lacking adaptability may struggle to realize gen AI's full potential.
• Successful implementation requires a holistic approach, combining technological scalability with cultural and structural changes.