隨著人工智慧的發展，策略顧問面臨著前所未有的挑戰。人工智慧現在能夠以更快、更好的方式完成顧問過去收費高昂的分析與基礎工作，例如產業研究、數據模式分析以及製作簡報，這使得純粹的策略建議變得商品化。

然而，顧問真正的核心價值在於處理複雜的人際互動與組織變革。高階主管們各自擁有不同的理念與動機，顧問必須贏得他們的信任、化解內部的阻力，並引導企業從上到下落實改變，這些涉及人性與隱性知識的過程是缺乏相關訓練數據的人工智慧無法取代的。

儘管如此，策略顧問產業的規模預期將會縮減，且必須進行自我轉型。在失去了大量基礎分析工作後，顧問公司需要尋找培訓初階員工的新方法，並且正在將傳統的按時計費模式轉變為根據最終成果來收費的結果導向模式。

With the development of artificial intelligence, strategic consultants are facing unprecedented challenges. AI can now perform the analytical and foundational work that consultants previously charged highly for—such as industry research, data pattern analysis, and slide deck creation—faster and better, turning pure strategic advice into a commodity.

However, the true core value of consultants lies in handling complex human interactions and organizational change. Executives have different beliefs and motivations; consultants must gain their trust, overcome internal resistance, and guide the company to implement changes from top to bottom. These processes, involving human nature and tacit knowledge, cannot be replaced by AI due to the lack of relevant training data.

Despite this, the strategic consulting industry is expected to shrink in size and must transform itself. Having lost a large volume of foundational analytical work, consulting firms need to find new ways to train junior employees and are shifting from traditional per-diem billing to an outcome-based pricing model.