What: Most organizations fail to realize AI’s potential because they underestimate the central role of people and culture in driving successful transformation.

Why it is important: Emphasizing people and culture in AI initiatives reflects a proven strategy for bridging the gap between technology investment and operational impact.

Despite significant investments in artificial intelligence, most organizations struggle to unlock its transformative potential, with only a small fraction achieving substantial value. The article argues that the root cause of this shortfall is not technological, but human: successful AI-driven change depends on placing people at the center of every decision. Drawing on behavioral science, the authors outline seven principles for effective transformation, including achieving true alignment among leaders, empowering managers with agency, and addressing the skills gap through sustained, role-specific learning. The text highlights the importance of understanding employee emotions, using structured rituals to maintain focus, and leveraging storytelling to motivate change. Celebrating small wins and building momentum are also emphasized as essential for sustaining engagement. Ultimately, the article contends that AI’s full potential can only be realized when leaders prioritize culture, communication, and continuous upskilling, ensuring that employees are both prepared and motivated to embrace new ways of working. 

IADS Notes: The article’s perspective is strongly supported by recent research from BCG and Modern Retail, which consistently finds that organizational culture, leadership engagement, and systematic upskilling are decisive for success. BCG’s analyses from April 2026, September 2025, June 2025, and November 2025 emphasize the need for human-centric transformation, transparent leadership, and the celebration of small wins to bridge the gap between AI adoption and value realization. Modern Retail’s March 2026 insights further highlight that robust data quality, organizational alignment, and leadership commitment are critical for translating AI investments into operational and commercial advantages, reinforcing the article’s call to place people at the heart of every AI-driven change.

Why AI change is actually a people change