ARTIFICIAL INTELLIGENCE
Embrace the Change We have AI, GenAI, Agentic AI, and all the AI in between and yet to come. Then we AI tools, such as Grammarly, Grok and Gemini. Additionally, platforms like Google Cloud Platform and Microsoft Copilot utilise AI technology. Where does that leave the humble human manager?
Exposed. Yes, in one word, exposed. Artificial intelligence (AI) is reshaping business and organisational landscapes, and this has significant implications for management structures. Automation of Managerial Tasks Many classical management functions, such as scheduling, resource allocation, performance tracking and basic decision-making, are now automatable. AI tools like RPA (Robotic Process Automation), predictive analytics and smart workflow systems can improve schedules and workflows, aggregate and report data instantly, all whilst monitoring and evaluating performance in real-time. Put simply, fewer middle managers may be needed as handling routine coordination and supervision is done by AI. Organisations can adopt flatter structures with fewer layers, leading to faster communication and adaptability. Data-Driven Decision Making Managers have traditionally been valued for their experience and gut instincts, but AI can analyse vast datasets, recognise patterns and recommend actions. Hence, decision-making becomes democratised as frontline employees have direct and instant access to insights. Specialists not Generalists In organisations embracing AI, power can shift from generalist managers to technical experts who develop, control,
and understand AI systems, such as data scientists, chief AI ethics officers and AI engineers. Game Over for Middle Managers? No. The rise of AI does challenge traditional management roles, but it absolutely does not make managers obsolete. Many core managerial skills remain highly valuable. Managers can leverage their current skill sets in the age of AI, along with ways to adapt and stay indispensable. Human Leadership and Motivation AI can’t inspire, motivate, or nurture talent the way a human can. Managers can focus on building team trust, morale and engagement, which are vital for productivity and retention. Interpersonal conflicts and complex team dynamics need empathy and negotiation, which are uniquely human domains. Change Management Introducing AI itself requires guiding teams through uncertainty and resistance. Managers’ experience in change communication, stakeholder management, and training is crucial for a smooth transition. Managers are key in fostering a positive, ethical, and inclusive workplace. They set the tone and model behaviour. Strategy and Relationships While AI provides data, managers use industry experience and organisation context to shape vision and strategy. Relationship-building with partners, clients, and internal teams is an area where people
Put simply, fewer middle managers may be needed as handling routine coordination and supervision is done by AI.
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