A study of job postings suggests, rather than reducing the need for managers, AI-driven transformations intensify managerial demands, making human judgment a crucial complement to AI capabilities.
The old trade-off between scale and personalization is vanishing as AI allows companies to generate high-quality, customized content at unprecedented speeds. But this transformation doesn’t happen automatically — it requires managers who understand AI’s potential and can devise strategies to harness it effectively. Rather than replacing managers, AI calls for a new kind of leadership, where human judgment and strategic vision are crucial to success.
The effects of AI implementation on managerial demand depend on the nature of your organization and industry.
For decades, digital technologies such as personal computers, the internet, cloud services and large applications like enterprise resource planning (ERP) systems enabled companies to streamline communication and automate routine tasks. These tools empowered employees with real-time information, allowing for quicker decision-making and reducing reliance on managers’ judgment. This decentralization allowed companies to cut costs and increase agility, reducing the need for layers of management to ensure operational efficiency. However, the result of so many organizations becoming flatter is that there may be fewer managers overseeing larger teams. This has implications for AI oversight in such a context.
Regardless, it’s important to prepare for a future where managers are key players in ensuring AI integration benefits the company as a whole.
In order to do this, companies should invest in manager training for soft skills such as communication, emotional intelligence (EQ) and creativity. AI should be seen as a tool that enhances, rather than replaces, human judgment. Managers are essential in ensuring AI tools are used ethically and effectively.
Fostering a hybrid human-AI workforce will be key. AI’s increasingly important role in companies will create a new dynamic between human and AI “workers,” requiring flexible management strategies. Companies will have to coordinate between human teams and AI systems, interpreting AI outputs and ensuring they align with organizational goals.
Read the full article here / By Mireia Giné / IESE Insight
