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埃森哲&沃顿商学院:2025 AI时代人机协同:重塑工作与劳动力的经济学分析报告(英文版)(29页).pdf

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1、The economics of reinventing work and the workforceHumans,AI and RobotsAs AI technologies proliferate,industry leaders have a unique opportunitynot just to enhance efficiency but to unlock entirely new paradigms of individual,economic,organizational and societal value.The Wharton School of the Unive

2、rsity of Pennsylvania and Accenture are launching a global research initiative to help these leaders understand why and how to achieve that impact at scale.Our focus:Understanding how a future shaped by the deep integration of human strengths with generative AI-powered agents and robots can fundamen

3、tally redefine work across industries.How we define Human+workforce:Seamless integration of onsite and remote employees with autonomous agents and intelligent robots,redefining productivity,collaboration,and decision-making.Our goal:Provide a robust fact-base and a suite of action-oriented insights

4、to help executives architect this transformationnot as passive participants but as designers of a new economic and organizational reality.Early hypotheses and insights from Wharton and Accentures latest findings offer our starting point and a preliminary roadmap for executives and policymakers seeki

5、ng to navigate the agentic age with responsibility and purpose.Executive summary 2Humans,AI and Robots:The economics of reinventing work and the workforce.Pair strengths purposefully:Combine human creativity,intuition,and adaptability with AIs precision and efficiencybut only where augmentation enha

6、nces outcomes.In tasks where AI outperforms humans,autonomous agents may be more effective.Match tasks to strengths:AI excels in cognitive functions like classification,pattern recognition,and sensory tasks.1 Organizations must align task assignments with human vs.machine strengths to maximize perfo

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1. **Human+ workforce定义**:无缝整合现场/远程员工与自主AI代理和机器人,重塑生产力、协作与决策(Wharton & Accenture研究)。 2. **经济影响**:生物制药行业通过50个AI代理(30个数字+20个物理)可创造180-240亿美元年价值,提升生产力并加速上市时间。 3. **成本与价值优化**: - 个体层面:AI增强人类创造力与效率,但需匹配任务(如AI擅长分类、模式识别)。 - 企业层面:混合定价模型(如按结果付费)平衡成本与ROI,美国健康险公司案例显示文档处理效率提升90%。 4. **财务指标**:机器人降低直接劳动成本,提升毛利率与资产利用率(ROA);AI代理需初期资本投入,长期优化运营支出。 5. **社会挑战**:需协调企业治理、跨境监管、教育体系及伦理框架,以应对技能差距与公平性问题。
**AI如何重塑工作?** **人机协作的经济学?** **未来 workforce 如何转型?**
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