是什么推动了企业使用生成式人工智能的回报?

IF 5 2区 经济学 Q1 ECONOMICS Structural Change and Economic Dynamics Pub Date : 2024-09-18 DOI:10.1016/j.strueco.2024.09.011
Jacques Bughin
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引用次数: 0

摘要

人工智能是一套旨在复制人类认知功能的技术,在过去十年中取得了显著的进步。尤其是生成式人工智能(GenAI),它是人工智能的一个子集,能够基于大型语言模型(LLM)生成内容任务。基于对大型企业中生成式人工智能使用案例的广泛分析,我们发现,生成式人工智能在吞吐时间、单位成本和任务效率等指标上都显示出强大的劳动生产率改进效果。然而,收益分配并不对称,只对少数公司有利。虽然目前的收益分配没有提供幂律效应的证据,但目前的不对称反映了各公司在人工智能资源/能力方面的差异--主要是数据访问、人工智能人才或人工智能治理方面的差异。
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What drives the corporate payoffs of using generative artificial intelligence?
Artificial Intelligence, a set of technologies that aim to replicate human cognitive functions, has seen remarkable improvements over the last decade. In particular, generative AI (GenAI), a subset of AI able to generate content tasks based on Large Language Models (LLM), has recently gained momentum. Based on an extensive analysis of generative AI use cases in large enterprises, we find that Gen AI shows strong labor productivity improvements across metrics such as throughput time, unit cost, and task effectiveness. However, the distribution of gains is asymmetric in favor of a few companies. While the current distribution of gains does not provide evidence of a power law effect, the current asymmetry reflects differences in AI resources/capabilities across companies - mainly data access, AI talent, or AI governance.
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来源期刊
CiteScore
9.60
自引率
4.90%
发文量
159
期刊介绍: Structural Change and Economic Dynamics publishes articles about theoretical, applied and methodological aspects of structural change in economic systems. The journal publishes work analysing dynamics and structural breaks in economic, technological, behavioural and institutional patterns.
期刊最新文献
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