观点:我们高估了人工智能的经济效益
技术对生产率增长的影响一直以来都被夸大了。分析人士是否会在生成式人工智能上重蹈覆辙?生产率的巨大转变是由降低成本驱动的。虽然生成式人工智能可以做到这一点,但不应夸大其对宏观经济可能产生的影响;随着成本领先者获益,许多公司将成为输家,但随着技术推动价格下降,真正的赢家将是消费者。
François Candelon is the Global Director of the BCG Henderson Institute based in BCG’s Paris office and a Managing Director & Senior Partner. He also leads BHI’s Tech & Biz Lab focused on exploring the technology horizon and sharing actionable insights with leaders. François’ research is focused on AI and Digital as a source of competitive advantage for businesses, national economies, and current research themes include topics such as AI competitiveness, deep tech, Generative AI, and AI & society. A frequent speaker on these topics, he has been a speaker at global conferences like Politico, AI Summit, MWC, TED, Web Summit, Global AI Summit, and Wuzhen Internet Conference. In 2021, he was among the eight people shortlisted for the prestigious Thinkers50 distinguished Digital Award.
技术对生产率增长的影响一直以来都被夸大了。分析人士是否会在生成式人工智能上重蹈覆辙?生产率的巨大转变是由降低成本驱动的。虽然生成式人工智能可以做到这一点,但不应夸大其对宏观经济可能产生的影响;随着成本领先者获益,许多公司将成为输家,但随着技术推动价格下降,真正的赢家将是消费者。
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