AIは現場の暗黙知”には弱い
AI研修テキストを作る中で感じたのは、AIはどうしても“個人目標”前提で構成しがちで、グループ目標の現場運用を理解するのが苦手だという点でした。資料を添付して学習させても、分刻みの形式的な進行に寄ってしまい、最終的には現場で柔軟に調整する方が良いと判断しました。
営業でも同様で、SNSやアンケートを使う手法は得意でも、1件ずつ訪問し、対話しながら深掘りする泥臭い営業は理解が浅いようです。
つまりAIは“形式知”には強いが、“現場の暗黙知”には弱い。ここにこそ市場の盲点があり、これから活躍できる余地が大きいと感じています。
Where AI Struggles: On-the-Ground Tacit Knowledge
While developing training materials for AI, I realized that AI systems tend to be structured around individual goals, making them ill-equipped to grasp the practical realities of managing group-level objectives in a real-world setting. Even when I fed the AI relevant documentation, the resulting processes were too rigid and bound by minute-by-minute scheduling; I ultimately concluded that flexible, on-the-spot adjustments by human staff were far more effective.
The same applies to sales: while AI excels at strategies leveraging social media or surveys, it lacks a deep understanding of the “gritty” side of sales—making individual visits and engaging in the kind of dialogue that uncovers deeper needs.
In short, AI is strong with “explicit knowledge” but weak when it comes to “tacit knowledge” gained through on-the-ground experience. I believe this represents a blind spot in the market—and a significant opportunity for future success.
