We have an abundance of data, and AI is one of the most effective ways to process all that information. AI not only handles data efficiently, but it also fosters a mindset where continuous improvement becomes ingrained in the organization's culture. On the other hand, the right knowledge is the resource that AI needs to sustain itself. The relationship between AI and knowledge management is reciprocal. AI does not "create content" out of nothing. It requires the proper knowledge infrastructure to be efficient. When AI is trained on accurate, up-to-date, and well-organized information, the responses reflect the same qualities: accuracy, relevance, and precision (Salia, 2024).

AI can analyze multiple content and communication channels, generate summaries, isolate sensitive data, and provide insights that can be applied to new situations. In this manner, AI can learn from recurring knowledge management or communication practices and offer individualized solutions. For instance, the system can learn which documents or messages need to be retained, thereby increasing the productivity of knowledge workers and saving time (Lavenda, 2019 cited in Jarahhi et al., 2023).