Tag: AI adoption

  • Leadership in the Age of GenAI: NYU AI Chief Conor Grennan Unpacks New McKinsey Report

    We spotted a timely post about AI adoption, and it highlights a striking gap in how leaders and employees approach generative AI transformation. Conor Grennan, chief AI architect for NYU, shared insights from a McKinsey report on LinkedIn, calling out the tension between employee readiness and leadership support.

    The data paints a clear picture. Nearly half of C-suite leaders believe their companies are moving too slowly on GenAI development, despite significant investments. At the same time, employees are adopting GenAI tools at three times the rate leaders expect, suggesting a readiness for change that is being overlooked. Employees trust their leaders to balance speed and safety, but that trust hinges on receiving meaningful training and guidance—something nearly half of employees say is insufficient today.

    Leaders also need to acknowledge their central role in driving GenAI transformation. While employees rank training as the top factor for successful adoption, almost half feel under-supported. This gap between expectations and execution could hinder innovation if not addressed. Furthermore, younger workers, particularly millennials, are already leveraging GenAI for substantial portions of their work. Leaders who align resources with this enthusiasm have a chance to harness untapped potential.

    Grennan’s post reflects an important reality we observe daily at AIMCLEAR. The readiness and capacity for GenAI adoption vary significantly across organizations and industries. While many employees are primed to embrace these tools, successful transformation requires a thoughtful calibration of leadership focus, resources, and cultural context. Not every company will experience these shifts the same way—but those who adapt their approach to fit their unique circumstances will find themselves ahead of the curve.

    Check out Conor’s post and give him a follow on LI.