工作中的人工智能：塑造组织的未来（英）2024

Gen AI at Work: Shaping the Future of Organizations

Executive Summary

Generative AI (Gen AI) is transforming the way we work, with significant impacts on roles, organizational structures, and skills required across different levels.

Impact on Roles and Responsibilities:

• Entry Level: Gen AI will facilitate a third of tasks in the next 12 months, leading to more autonomous roles and a focus on critical analysis, quality assurance, and innovation.
• Manager Level: Roles will become more strategic, focusing on AI-enhanced decision-making and emotional intelligence. Managers will evolve from generalists to specialists and play a key role in defining rules and responsibilities for human-AI collaboration.
• Leadership Level: Leadership roles will focus on redesigning the organization and redefining roles across levels. Leaders will establish frameworks and guardrails for responsible and ethical AI development and deployment.

Organizational Structures:

• Hourglass Model: A small strategic leadership, a lean middle-management layer, and a broad base of highly skilled entry-level talent augmented by Gen AI.
• Diamond Model: Critical top leadership, a broader middle layer, and a smaller entry-level layer partially automated with Gen AI, focusing on high-value specialist tasks.

Current vs. Expected Team Structures:

• Current: 12% leaders, 44% middle- and frontline managers, 44% entry-level employees.
• Expected (in 3 years): 15% leaders, 53% middle- and frontline managers, 32% entry-level employees.

Benefits and Challenges:

• Benefits: Boosting creativity, complementing skills, reducing work-related stress, and assisting in complex managerial tasks.
• Challenges: Low confidence in Gen AI tools, lack of clear guidelines, complexity in integration, and skill gaps.

Key Recommendations:

• Reevaluate Strategic Workforce Planning: Align roles and career pathways with new organizational structures.
• Optimize Human-AI Collaboration: Integrate existing business applications and workflows with Gen AI.
• Establish Data Governance: Ensure robust data foundations and governance principles.
• Develop Skills: Equip employees with technical and soft skills to use and trust Gen AI.
• Create a Learning Culture: Foster continuous learning and experimentation.
• Emphasize Augmentation: Focus on augmenting and empowering human intelligence rather than replacement.

Conclusion

Gen AI is not just a tool; it is a transformative force reshaping the future of work. Organizations need to adapt by rethinking their structures, enhancing skills, and embracing a culture of continuous learning and collaboration. By doing so, they can thrive in the dynamic environment of human-AI collaboration.

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Note: The study findings reflect the views of the respondents and aim to provide directional guidance. For specific implications, contact one of the Capgemini experts listed at the end of the report.