What innovation paths for AI to become a GPT?

IF 1.2 4区 管理学 Q3 ECONOMICS
Timothy Bresnahan
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引用次数: 0

Abstract

Early commercial applications of artificial intelligence technologies (AITs) were narrow but extremely profitable. Comparable uses of those technologies throughout the economy would lead to a growth boom. Firms which emulated the early applications successfully would make tremendous strategic gains. This is a situation familiar from earlier rounds of information and communication technology. However, for AITs to become a general-purpose technology across many commercial applications sectors will require some new innovations. This paper examines the innovation paths that could lead to that desirable outcome, the ones that have stalled, the ones in the process now, and the ones that might occur in the future. Strikingly, early AIT use, both commercial and with technical customers, occurred where Digital Transformation was not required for it to succeed. The innovation paths all require Digital Transformation as key steps.

人工智能成为 GPT 的创新路径有哪些?
人工智能技术(AIT)的早期商业应用范围很窄,但利润极高。这些技术在整个经济中的可比应用将带来增长热潮。成功模仿早期应用的企业将获得巨大的战略收益。这种情况在信息和通信技术的早期发展中并不陌生。然而,要使人工智能技术成为许多商业应用领域的通用技术,还需要一些新的创新。本文探讨了可以实现这一理想结果的创新途径、已经停滞不前的创新途径、目前正在进行的创新途径以及未来可能出现的创新途径。令人震惊的是,早期的 AIT 应用,无论是商业应用还是技术客户应用,都是在不需要数字化转型的情况下取得成功的。创新之路都需要数字化转型作为关键步骤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.20
自引率
5.30%
发文量
43
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