Tel Aviv, Israel — The integration of artificial intelligence (AI) in knowledge management is not just a trend; it’s a transformative shift that is reshaping how organizations function. As companies increasingly invest in AI technologies, understanding employee and manager perceptions about these tools becomes crucial. A recent study from Bar-Ilan University and the University of Padova highlights these perceptions and their implications for workplace dynamics.

AI technologies are designed to enhance knowledge management processes, which include knowledge acquisition, documentation, sharing, and application. The study reveals that the perceived usefulness of AI varies significantly across these processes. For instance, employees and managers view AI as most beneficial for knowledge acquisition, while its utility in knowledge sharing and application received lower ratings. This discrepancy sheds light on the complexities of AI adoption in the workplace.

Understanding these perceptions is vital for organizations aiming to leverage AI effectively. The findings indicate that managers generally perceive AI’s benefits more favorably than employees do. This gap can affect how AI tools are implemented and utilized within teams, potentially leading to resistance or underutilization of these technologies.

Perceptions of AI in Knowledge Management Processes

The study conducted by Nakash and Bolisani (2025) explores how different stakeholders perceive AI across various knowledge management processes. It found that:

Such oversight could hinder the overall effectiveness of knowledge management strategies.

• AI is seen as most useful for knowledge acquisition and documentation.
• Perceptions of AI’s usefulness for knowledge sharing are significantly lower.
• Knowledge application received the lowest ratings in terms of perceived AI benefits.

This data suggests that while organizations may prioritize AI for streamlining knowledge acquisition, they may overlook its potential in other areas. Such oversight could hinder the overall effectiveness of knowledge management strategies.

Moreover, the study highlights that organizational roles create substantial perception gaps. Managers tend to recognize greater benefits from AI in knowledge acquisition, documentation, and application compared to employees. This disparity points to a need for better communication and training around AI tools to align perceptions and expectations across all levels of the organization.

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Impact on Career Development and Skills

The implications of these perceptions extend beyond organizational efficiency; they have significant career consequences for employees. As AI becomes more integrated into knowledge management, the demand for specific skills is evolving. Entry-level employees may need to familiarize themselves with AI tools to remain competitive in the job market. Mid-career professionals might find that their ability to leverage AI effectively can distinguish them in their roles.

Additionally, organizations that fail to address the skills gap may face challenges in retaining talent. A report by ITWeb suggests that while AI will not eliminate jobs, it will create a skills gap that workers must bridge to thrive in an AI-driven environment. Therefore, employees should actively seek training and development opportunities related to AI in their fields.

• Actionable Steps for Employees:
• Upskill in AI Tools: Take online courses or attend workshops focused on AI applications in your industry.
• Engage in Knowledge Sharing: Participate in forums or groups that discuss AI’s role in knowledge management.
• Seek Feedback: Regularly ask for input from managers on how to improve your use of AI tools.

However, experts warn that this trend may not be sustainable. A recent study suggests professionals should balance new skills with proven fundamentals. Relying too heavily on AI could lead to a workforce that lacks essential critical thinking and problem-solving skills, which are vital in any role.

Relying too heavily on AI could lead to a workforce that lacks essential critical thinking and problem-solving skills, which are vital in any role.

The Future of AI in Knowledge Management

Looking ahead, the role of AI in knowledge management is expected to grow. Organizations will likely continue to invest in AI technologies to enhance their knowledge processes. However, the challenge will be ensuring that employees at all levels feel confident in using these tools. Bridging the perception gap between managers and employees will be essential for successful AI integration.

As AI technologies evolve, so too will the expectations of the workforce. Companies must prioritize training and development initiatives that equip employees with the skills needed to navigate this new landscape. The future will not only require technical proficiency but also a strong foundation in critical thinking and collaboration skills.

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Are you prepared to adapt to the changing demands of knowledge management in an AI-driven world?