Karlheinz Zuerl, CEO of the German Technology & Engineering Corporation (GTEC), has observed a significant discrepancy between the enthusiasm for artificial intelligence (AI) at the top management level and its acceptance in daily operations. This gap, he argues, can best be closed by forming hybrid teams consisting of AI competence centers and specialized departments.
The AI Hype in Top Management
“In light of the hype surrounding artificial intelligence, many companies appoint an AI officer at the top level to bring what is perceived as the most important topic of our time into the operation,” Zuerl notes. However, he believes this approach is flawed. Companies can only benefit from AI if it is implemented across the entire workforce.
Experience as an Interim Manager
Zuerl, who was nominated as Interim Manager 2024 by the Steinbeis Augsburg Business School and the interim manager community United Interim, has gained extensive experience in this area through his numerous assignments as a temporary executive.
Common Practices in AI Implementation
He vividly describes the operational practice in many companies regarding AI: “Typically, the process begins with the top management learning about the latest technological developments, followed by teams presenting optimistic but contradictory use cases to the company leadership. Driven by enthusiasm but without clear direction, the top level assigns responsibility to a person who is often overwhelmed and inadequately prepared.”
The Role of Hybrid Teams
To bridge the gap between AI enthusiasm in top management and acceptance in daily operations, Zuerl advocates for the formation of hybrid teams. These teams should consist of members from AI competence centers and specialized departments within the company.
Benefits of Hybrid Teams
Hybrid teams can leverage the technical expertise of AI specialists and the practical knowledge of department experts. This collaboration ensures that AI solutions are not only technically sound but also practically applicable and beneficial to the company’s operations.
Challenges in AI Implementation
One of the main challenges in AI implementation is the lack of clear direction and understanding of AI’s potential and limitations. This often leads to unrealistic expectations and disappointment when the technology does not deliver immediate results.
Importance of Clear Communication
Clear communication between top management, AI specialists, and department experts is crucial for successful AI implementation. This ensures that everyone is on the same page and understands the goals, challenges, and potential benefits of AI projects.
Training and Education
Training and education are essential for fostering acceptance of AI in daily operations. Employees need to understand how AI can benefit their work and how to use AI tools effectively. This requires ongoing training and support from both AI specialists and department experts.
Realistic Expectations
Setting realistic expectations is crucial for the success of AI projects. Top management needs to understand that AI implementation is a gradual process that requires time, effort, and resources. Unrealistic expectations can lead to frustration and resistance from employees.
Continuous Improvement
AI implementation should be seen as an ongoing process of continuous improvement. Companies need to regularly evaluate their AI projects, learn from their experiences, and make necessary adjustments to ensure long-term success.
Case Studies and Success Stories
Sharing case studies and success stories can help build confidence in AI projects. By showcasing successful AI implementations, companies can demonstrate the potential benefits of AI and encourage employees to embrace the technology.
Leadership Support
Leadership support is essential for the success of AI projects. Top management needs to be actively involved in AI initiatives, provide necessary resources, and support employees throughout the implementation process.
Conclusion
In conclusion, bridging the gap between AI enthusiasm in top management and acceptance in daily operations requires a collaborative approach. By forming hybrid teams, providing training and education, setting realistic expectations, and ensuring continuous improvement, companies can successfully implement AI and reap its benefits.