As intelligent systems are implemented, do managers become more reliant on experts for decision-making?

The assertion that managers do not become more reliant on experts for decision-making as intelligent systems are implemented is justified by the fact that intelligent systems are designed to augment and enhance decision-making capabilities. These systems leverage data analysis and predictive modeling to provide insights and recommendations, thereby empowering managers to make informed decisions independently.

As managers become more familiar with these intelligent systems, they often develop a deeper understanding and trust in the data-driven insights generated by the technology. This transition allows them to act with greater confidence, reducing their reliance on external experts. Furthermore, intelligent systems can provide prompt, accurate analyses that can address complex business challenges more swiftly than expert consultations.

While there may be scenarios where initial reliance on experts exists to interpret the new data or understand the system's outputs, over time, the goal is for managers to become self-sufficient in utilizing these tools. This progression encourages more autonomous and efficient decision-making processes, ultimately leading to enhanced organizational agility and innovation.