2025_AI时代人机协同_重塑工作与劳动力的经济学分析报告_29页_1mb

Summary: Humans, AI and Robots

Core Content

This report explores the transformation of the workforce in the age of AI and robotics, emphasizing the integration of human strengths with AI-powered agents and robots to redefine productivity, collaboration, and economic value across industries. The initiative, launched by the Wharton School of the University of Pennsylvania and Accenture, aims to provide business leaders and policymakers with actionable insights to navigate this shift responsibly and strategically.

Main Viewpoints

• Human+ Workforce: A new model of work that seamlessly integrates onsite and remote employees with autonomous agents and intelligent robots. This model enhances productivity, decision-making, and collaboration by leveraging the complementary strengths of humans and machines.
• Strategic Integration: The key to success lies in aligning tasks with the strengths of AI and humans. AI excels in cognitive tasks like classification, pattern recognition, and data analysis, while humans provide creativity, intuition, and adaptability.
• Economic Impact: The integration of AI agents and robots is reshaping workforce economics, influencing cost per unit, value creation, and financial metrics such as ROIC, ROA, and gross margin. Leaders must understand these dynamics to optimize performance.
• Responsible Leadership: Change must be managed with foresight, trust, and a focus on shared value. The speed of transformation requires bold and strategic actions to avoid falling behind or exacerbating societal risks.
• Organizational Adaptation: Companies must build continuous change as a core capability, adopt real-time learning infrastructures, and restructure workflows to maximize the benefits of AI and robotics.

Key Insights

Individuals

• Task Matching: AI should be used where it enhances outcomes, not where it replaces human judgment.
• Emotional Impact: AI integration can improve individual performance and reduce negative emotions like anxiety and frustration, while increasing positive emotions such as excitement and energy.
• Role Evolution: AI can transform individual roles, shifting them from execution to leadership and strategy.

Economics

• Cost and Value Balance: Organizations must carefully calibrate cost vs. ROI, especially with new pricing models like per-conversation, outcome-based, and hybrid pricing.
• Financial Metrics: The integration of AI agents and robots affects profitability, asset efficiency, and return on invested capital (ROIC).
• Pricing Models:
  • Per-Conversation Pricing: Predictable costs, scalable with usage.
  • Outcome-Based Pricing: Aligns costs with value delivered.
  • Subscription-Based Pricing: Predictable and budget-friendly.
  • Hybrid Pricing: Balances predictability and performance incentives.
  • Labor-Replacement Pricing: Simplifies ROI calculation but requires detailed cost analysis.

Organizations

• Continuous Change: Organizations must become agile, redefining roles, workflows, and decision-making as AI evolves.
• Talent Management: AI-powered global capability centers (GCCs) and new team structures are enabling companies to scale expertise and services more effectively.
• Future-Ready Structures: Companies must build adaptive infrastructures that support real-time learning and human-agent collaboration.

Society

• Societal Implications: AI-driven transformation will affect skills, education, labor markets, and human dignity. It raises critical questions about bias, equity, and socioeconomic gaps.
• Shared Value: The response to AI adoption must prioritize reskilling, empowerment, and inclusive growth.
• Cross-Pillar Coordination: Action is needed across corporate governance, regulations, education, and ethical frameworks to guide responsible AI adoption.

Key Examples

Biopharma Industry

• An agentic twin analysis of 300 tasks and 90 roles in the biopharma industry revealed that integrating 50 agents (30 digital, 20 physical) could unlock $180–240B in annual value.
• Digital Agents: Assistant, Analytics, and Knowledge Base agents are top contributors.
• Physical Agents: Robotic equipment handling, vision inspection, and automated sample preparation are key areas.
• Workforce Impact: Approximately 55% of total workforce hours are affected by AI agents and robots, with varying degrees of impact depending on the function.

U.S. Health Insurer Case Study

• A hybrid approach using AI agents and robots led to a tripled document processing volume and a 90% reduction in processing time, demonstrating the effectiveness of AI in improving efficiency and performance.

Call to Action

• Leaders must design the future, not just react to it. This involves reimagining work at the individual, functional, and value chain levels.
• Organizations should redefine traditional structures and adopt a flex capacity model to scale up agents and temporary workers rapidly in response to demand.
• Calibration of value vs. cost is a critical differentiator for companies aiming to lead in the agentic age.

Foundational Questions

• How do different workforce components (human, digital, physical agents) impact cost and value at various levels?
• What organizational actions (enhance, add, change mix, restructure) drive inflection points in cost and value?
• How can companies determine the optimal pace and set of actions for their transformation?

Conclusion

The integration of AI and robotics into the workforce is not just about efficiency—it's about redefining the very nature of work and value creation. By understanding the economic, organizational, and societal implications, and by acting with foresight and responsibility, leaders can architect a future where humans, AI, and robots work in harmony to unlock new paradigms of productivity and innovation.