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Half of Leaders Say Companies Underestimate Change Management in AI Adoption

· · 3 min read

A new survey reveals 50% of senior leaders believe companies often underestimate change management when implementing AI and other new technologies. This oversight creates significant people-related challenges, overshadowing concerns about return on investment.

Companies investing in artificial intelligence and other transformative technologies are frequently overlooking a critical success factor: effective change management. According to a recent survey conducted by Biz Staffing Comrade Pvt. Ltd., a significant 50% of senior leaders indicated that organizations most often underestimate the extensive change-management effort required when undertaking technology, AI, or broader transformation initiatives.

These findings emerged from an executive masterclass titled 'The Resilient Organisation,' hosted by Biz Staffing Comrade and moderated by Dr. Varadharaju Janardhanan. The session convened senior HR leaders to discuss the various challenges organizations encounter while executing key business priorities.

People Are Central to Tech Transformation, Not Just Tools

The survey highlights that successful technology adoption extends far beyond simply deploying a new tool or platform. Organizations must adequately prepare their employees for fundamental shifts in their roles, established workflows, and overall operational methods. Beyond the primary finding, 23% of leaders pointed to the capabilities needed to effectively utilize new technology as a commonly underestimated aspect. Furthermore, 18% identified the impact of technology on existing roles and operating models as a key oversight.

Conversely, only 9% of leaders suggested that companies underestimate the time required to realize a return on investment (ROI). Collectively, these statistics suggest that over nine out of ten leaders surveyed view challenges related to people, skills, or operational structures as far more significant than the timeline for achieving technological returns.

Rethinking Roles and Skills for AI Success

Puneet Arora, Managing Partner at Biz Staffing Comrade, emphasized that while companies meticulously budget for technology, the crucial aspect of adoption is often treated as an afterthought. He asserted that the true return on AI investments is contingent upon how effectively organizations redesign roles, skill sets, and work processes to integrate with the new technology.

These findings align with insights from Biz Staffing Comrade's 2025 HR Leaders' Roundtable. In that forum, 27.3% of HR leaders identified inadequate communication and change management as a primary barrier to AI adoption, second only to a lack of trust in AI-driven decisions.

Evolving Operating Models and Talent Strategies

The broader survey also underscored the importance of organizational systems during periods of transformation. A substantial 41% of leaders stated that operating models, processes, and systems would become the most significant constraint if their organization aimed to double its growth within three years. Culture, alignment, and decision-making were cited by 36%, while critical talent accounted for 14%, and leadership capacity for 9%.

These results indicate a notable shift in how organizations approach talent and technology. Instead of solely focusing on recruiting individuals with new skills, companies are increasingly evaluating whether their existing roles, processes, and capabilities can adapt to evolving business demands. Aditi Rana, also a Managing Partner at Biz Staffing Comrade, noted that talent acquisition is transforming from a mere hiring function into a capability function. Organizations are now actively seeking to determine whether future capabilities should be built through external hiring, internal development, or the redeployment of existing staff.

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