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How Middle Managers Can Drive the Generative AI Revolution

Generative AI, predicted to significantly transform our work landscape, is closer than it seems. Data from the McKinsey Global Institute indicates that current technologies, including generative AI, could automate 60-70% of tasks performed by employees today.

According to a recent OpenAI report, the effects will be extensive, with 80% of US workers likely to have at least 10% of their duties automated, and 19% seeing at least half their tasks impacted. However, complete job elimination is unlikely. The role of work will evolve, efficiency will increase, and human leadership will remain indispensable. As a result, the demand for exceptional management will intensify.

In the book, "Power to the Middle: Why Managers Hold the Keys to the Future of Work", stressed the importance of middle managers in these transitions. Here's why:

Generative AI could shift the focus from mundane tasks to valuable people leadership. Current middle managers are often saddled with a variety of roles. The study discovered that less than 30% of managers’ time is spent leading people, while the majority is consumed by personal execution or administrative duties.

Generative AI offers a solution to automate some of these duties, giving managers more time to lead. In fact, tasks involving "applying expertise" could be automated by 58%. This includes draft responses in a manager's field of expertise, which can be polished by the manager before distribution.

Also, managerial work, such as creating the first draft of a job posting or compiling performance feedback, could be automated by 49%. These advanced AI tools could enhance middle managers' leadership abilities, with a promising future ahead.

For instance, generative AI could personalize training and skill development for middle managers, offering recommendations based on individual preferences and developing engaging role-playing scenarios. It could also assist managers in career counseling, offering a wide range of career options for their team members through AI-powered talent platforms.

Generative AI could provide real-time team performance insights and suggest action plans to tackle identified problems. Middle managers will be instrumental in the successful deployment and adoption of generative AI, due to their critical roles and responsibilities:

  • Human judgment, empathy, and creativity: While AI can provide first drafts, humans are needed to apply judgment, empathy, and creativity. Managers can demonstrate these characteristics and coach their teams to develop these skills.

  • Managing risk: Middle managers, as people leaders, will be essential in harnessing AI's benefits and mitigating its risks. They must understand the limitations and potential pitfalls of AI and initiate discussions about potential concerns and solutions.

  • Reimagining roles and work: Middle managers can help redefine tasks and responsibilities through the lens of AI. They will play a key role in deciding how to utilize time saved by automation and when human intervention is necessary.

Generative AI is already impacting organizations, and this trend will accelerate rapidly. Embracing this opportunity could be a win-win, potentially boosting productivity and empowering one of the most important yet underappreciated assets - middle managers.