Analytical Abundance: Why Ai Makes Strategy Harder

IF 6.1 2区管理学 Q1 BUSINESS

California Management Review Pub Date : 2026-07-20 DOI:10.1177/00081256261470443

Marc G. Baaij

引用次数: 0

Abstract

Artificial intelligence is expected to make strategy easier. Yet many leadership teams are finding the opposite. As analytical capability becomes more powerful and widely available, analysis can support multiple credible futures simultaneously—a condition we call analytical abundance. The result is a paradox: more analysis can make strategy harder. We argue that analytical abundance shifts the primary constraint in strategy from generating insight to creating choice and sustaining commitment. To address this challenge, we introduce a three-cycle architecture that separates strategic intelligence, strategic choice, and strategic change. Competitive advantage depends not only on insight, but also on closure and commitment.

查看原文本刊更多论文

分析丰度：为什么人工智能让战略更难制定

人工智能有望使战略变得更容易。然而，许多领导团队发现情况恰恰相反。随着分析能力变得越来越强大和广泛，分析可以同时支持多个可信的未来——我们称之为分析丰度。结果是一个悖论：分析越多，制定战略就越难。我们认为，分析丰度将战略的主要约束从产生洞察力转变为创造选择和维持承诺。为了应对这一挑战，我们引入了一个三周期架构，将战略情报、战略选择和战略变更分开。竞争优势不仅取决于洞察力，还取决于封闭和承诺。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

California Management Review Multiple-

CiteScore

18.40

自引率

3.00%

发文量

期刊介绍： California Management Review (CMR) serves as a vital link between academia and management practice, offering leading-edge research with practical applications. Edited at UC Berkeley’s Haas School of Business, CMR covers a wide range of management topics, including innovation, strategy, sustainable practices, and human resources. CMR ranks among the top management journals globally, distributing articles through outlets like Harvard Business School Publishing and SAGE Publishing. Focused on bridging academia and practice, CMR ensures that all articles are based on rigorous academic research while providing actionable insights for managers. In addition to regular issues, CMR publishes special issues and sections on relevant topics, often guest-edited by leading faculty. Recent special issues have covered dynamic capabilities, city innovation, big data, and intellectual property management.