Artificial intelligence (AI) is transforming how organizations operate, forcing managers to rethink how teams work, make decisions, and use technology. While core leadership responsibilities remain the same, AI has introduced new questions that managers must navigate every day.

• How should teams incorporate AI into existing workflows?
  
• When should leaders rely on AI-generated insights, and when should they trust human judgment?
  
• How much technical knowledge should managers possess to lead effectively?
  

As organizations increase investments in AI, the ability to answer these questions is becoming an essential leadership skill. While many companies are accelerating AI adoption, relatively few have fully integrated the technology into their operations, creating a growing need for managers who can bridge the gap between innovation and execution.

Why Do Managers Need AI Literacy?

Managers do not need to become AI engineers or technical specialists. However, they do need enough AI literacy to understand what AI tools can and cannot do.

AI can help organizations analyze data, identify patterns, automate tasks, and generate insights. At the same time, AI systems can make mistakes, generate inaccurate information, and struggle with situations that require judgment, context, or ethical decision-making.

Effective managers understand these limitations and help establish guardrails around how AI is used within their teams. They also help employees determine when technology can improve workflows and when human expertise remains essential.

As AI adoption grows, managers who understand the strengths and weaknesses of these tools will be better positioned to make informed decisions and guide responsible implementation.

How Can Managers Work More Effectively With AI?

Using AI effectively requires more than simply having access to the technology.

Managers increasingly need to understand how to communicate with AI tools by developing prompts, refining outputs, and evaluating results. The quality of information generated by AI often depends on the quality of information provided by the user.

Research suggests that managerial AI skills can have a significant impact on organizational innovation because leaders play a key role in determining how teams use technology and integrate it into business processes.

Managers can support AI adoption by:

• Establishing clear use cases for AI
• Teaching employees how to use AI responsibly
• Creating standards for reviewing AI-generated outputs
• Encouraging experimentation while maintaining oversight
• Aligning AI use with organizational goals

Successful AI implementation requires both technological understanding and strong leadership.

Why Human Leadership Skills Still Matter

Despite rapid advances in AI, some management responsibilities remain fundamentally human.

Building trust, resolving conflict, motivating employees, managing personalities, and fostering collaboration continue to be critical leadership functions that technology cannot replace.

In many organizations, AI itself has become a source of disruption, changing workflows and creating uncertainty. During periods of change, employees often rely on managers for guidance, communication, and support.

Managers must continue to champion human judgment while helping teams adapt to new technologies. Strong communication, empathy, and relationship-building remain essential skills for effective leadership.

According to Mark Clark, professor of management at Kogod School of Business, "Managers must learn to use AI and welcome it as a limited partner, but also not forget their core job of supporting their employees succeed through providing resources and removing obstacles."

Clark notes that the most important leadership qualities remain remarkably consistent: "What hasn't changed are core management attributes and skills—integrity, topical expertise, empathy for employee needs, and effectiveness in problem-solving."

How Is Kogod Preparing Future Managers for the AI Era?

At Kogod School of Business, students learn how to combine technological fluency with strong leadership and management skills.

Through coursework in management, strategy, organizational behavior, and AI, students develop the tools needed to lead organizations undergoing technological transformation.

AI is integrated throughout the Kogod curriculum, with more than 60 business courses incorporating AI-related learning opportunities. Students gain hands-on experience using emerging technologies while also developing the critical thinking, communication, and decision-making skills needed to lead effectively.

As part of Kogod's commitment to preparing students for the future of business, every student has access to Perplexity AI Enterprise Pro, allowing them to engage in research, collaboration, and problem-solving using advanced AI tools.

The goal is not simply to teach students how to use AI. It is to prepare them to manage teams, make strategic decisions, and lead organizations in a business environment increasingly shaped by technological change.

Why Management Skills Matter More Than Ever

AI may change how work gets done, but leadership remains essential.

Organizations need managers who can evaluate technology, guide teams through change, foster collaboration, and make decisions that balance efficiency with human judgment.

As AI continues to reshape industries, professionals who combine technical awareness with strong leadership capabilities will be best positioned to help organizations adapt, innovate, and succeed.