企业在人工智能转型中正在犯下的代价高昂的错误

在任命人工智能项目负责人时，优先考虑技术专长而非商业头脑，会导致战略失调和项目无法交付价值。

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通过优先评估和培养高效的领导者，企业可以建立一支准备好迎接人工智能挑战的领导团队，营造创新文化，并从全企业范围的人工智能应用中获得潜在回报。插图：PIXABAY

DeeperDive is a beta AI feature. Refer to full articles for the facts.

Burcu Bicakci

Published Sat, Oct 4, 2025 · 07:00 AM

本文由AI辅助翻译

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东南亚各地的董事会都注意到了一个令人沮丧的悖论：人工智能（AI）是顶级的技术优先事项——根据 Egon Zehnder 的2025年首席信息官（CIO）调查，CIO 们将其列为仅次于网络风险的第二要务——然而，这些巨额投资的回报却依然微不足道。尽管有许多概念验证（proof-of-concept）项目，但很少有项目能够规模化并创造真正的商业价值。

为什么会发生这种情况？许多企业对人工智能转型的失败做出了错误的诊断。他们常常将这些不足归咎于技术问题或领导人工智能项目的个人表现。然而，真正的挑战在于领导力的盲点。

为了实现人工智能驱动，企业常常将人工智能转型任务委派给一位高级技术领导者，通常是首席信息官、首席技术官或数据/人工智能负责人。在招聘或任命人工智能项目领导者时，他们倾向于优先考虑技术专长而非商业头脑。

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