While 86% of executives expect AI usage across their operations, fewer than half of middle managers are actually enforcing these initiatives. This friction suggests that the primary barrier to digital transformation is not a technical deficit, but a failure of leadership to integrate new tools into the daily workflow.
After 35 years leading Infragistics, it is clear that the success of any technological shift relies on how leaders introduce it. Simply issuing a mandate or rolling out a platform is insufficient. Employees need a safe environment to experiment, build habits, and learn, rather than viewing new software as a check-box exercise or a threat to their job security.
To drive adoption, leaders should prioritize coaching over rigid command-and-control tactics. By working alongside teams to identify where tools enhance specific workflows, managers can turn the iterative process of prompting into a core skill. Furthermore, executives must model this behavior themselves. Sharing personal successes and limitations with AI during team meetings demystifies the technology and encourages a culture of transparent learning.
Finally, the framing of AI as a growth tool is critical. Data from Slingshot’s Digital Work Trends report reveals that nearly one in five Gen Z employees fears being replaced by automation. When leadership positions AI as a means to offload repetitive tasks—thereby freeing up time for high-value strategic work—the narrative shifts from compliance to empowerment. By clearly defining where human judgment remains essential, leaders can ensure that technology serves as an investment in their workforce rather than a replacement.
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