In today’s dynamic business landscape, AI (including Generative AI) offers transformative opportunities, promising unprecedented efficiencies, innovation, and competitive advantages. However, the true success of AI adoption lies not only in the technological capabilities but in addressing the human and organizational elements essential for meaningful integration. 

A significant barrier to AI adoption is the lack of an AI-ready workforce. The World Economic Forum highlights that only 2% of firms are prepared for large-scale AI adoption, underscoring the need for comprehensive workforce strategies that encompass talent transformation and responsible AI practices.1 According to our research involving 700 C-suite executives, 64% of the organizations reported conducting regular training sessions to ensure a smooth AI adoption process. Despite prioritizing training, only 35% of the organizations globally have a dedicated change management team to oversee the transition to AI adoption.2

Change Management Chart BearingPoint

Generative AI transformation is bringing both hopes and fears 

Many employees believe that Generative AI (GenAI) can significantly improve their productivity by automating repetitive and time-consuming tasks, allowing them to focus on more meaningful activities and increasing job satisfaction. Employees are optimistic that working with GenAI will enhance their skills and make them more valuable in the job market. By handling routine tasks, GenAI can help achieve a better work-life balance and enable employees to be more creative and innovative. Additionally, GenAI could empower less specialized employees to perform a greater range of “expert” tasks – expanding the possible functions of roles.

However, fear about AI’s impact on individual roles makes it difficult for employees to see it as an enabler. Instead, they may perceive it as a threat, leading to resistance driven by concerns about job displacement and uncertainty. Some employees also lack the technical knowledge to engage effectively with AI tools, leading to hesitation in adoption. Many employees fear redundancy, doubt their ability to adapt or hesitate due to unclear impacts on their roles.

Organizations that fail to address these concerns face significant risks. Employees who perceive their jobs are threatened by AI are 27% less likely to remain with their organization. For an organization with 10,000 employees, this drop in retention could result in an estimated annual loss of $53 million due to turnover costs and decreased productivity.

Empowering employees in AI-driven transformation 

Empowerment in AI-driven transformation is about augmenting human potential rather than replacing it. When organizations focus on equipping their workforce with the right tools, knowledge, and ethical guidelines, AI becomes a catalyst for innovation, efficiency, and inclusive growth. Empowering employees is the way to mitigate fears and maximize hopes for an AI-driven transformation.  

Contrary to widespread fears, the International Labour Organization reports that only 2.3% of jobs fall under the category of “Automation Potential,” where Generative AI could replace tasks, while 13% of jobs have “Augmentation Potential,” highlighting opportunities for AI to enhance productivity worldwide.5 

AI transformation requires tailored strategies for different organizational levels to ensure successful implementation. The C-suite, middle managers, and frontline employees each play a unique role in this process.  

Marine Laufer-Tourte

Critics claim AI-driven automation and flatter hierarchies reduce the need for intermediaries. However, AI does not replace leadership; it redefines it. Middle managers act as the bridge between leadership and employees, ensuring successful AI adoption.

Marine Laufer-Tourte, Partner, BearingPoint

How middle managers can support AI-driven transformation 

Middle managers have long served as translators, connectors, navigators, and coaches within organizations. Today, as AI-driven transformation reshapes the workplace, their role is more critical than ever. To successfully adapt to the AI age, middle managers should focus on four key areas. 

  • Embrace the potential of AI: Use GenAI to augment and automate managerial tasks, enabling middle managers to focus on strategic workforce planning and innovation. 
  • Leverage reverse mentoring: Balance middle managers' business acumen with younger employees' AI proficiency to enhance processes and roles. 
  • Provide workforce strategic outlook: Collaborate with HR to shape future workforce needs and communicate clear strategies to address employee concerns. 
  • Promote employee AI literacy: Implement comprehensive AI literacy programs to reduce fears, build trust, and prepare teams for AI-driven transformation. 
Rémy Sergent

AI-driven transformation requires a mindset shift at all levels. Organizations must equip middle managers with the right tools and support to ensure AI adoption delivers real value.

Rémy Sergent, Global Leader People & Strategy, BearingPoint

Middle managers are uniquely positioned to ensure AI strategies are effectively implemented across teams. While some argue that AI-driven automation and flatter hierarchies are diminishing the need for middle management, this perspective overlooks a crucial reality: AI does not replace leadership – it redefines it. 

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