(This article was developed with the assistance of AI tools and curated by Joseph P Killukan.)
Artificial Intelligence is often presented as a silver bullet for business problems. In reality, its value depends on how well it is understood and applied.
AI excels at processing large volumes of data, identifying patterns, and highlighting anomalies that may not be obvious to the human eye. In manufacturing and operations, this can support better forecasting, predictive maintenance, and performance analysis.
However, AI does not replace judgment. It does not understand context, organizational culture, or human constraints unless guided correctly. Decisions related to people, strategy, and trade-offs still require experienced leadership.
The real advantage lies in combining AI-driven insights with practical business and engineering experience. Used correctly, AI becomes a decision-support tool—not a decision-maker.
For leaders, the question is not whether to adopt AI, but how to apply it responsibly and meaningfully to improve outcomes.