AI for business leaders

In many workplaces, AI tools come first, and plans for using them come well after (or never). Only 25% of employees say their leadership has a clear and consistent approach to AI, according to Microsoft's 2026 Work Trend Index.¹

Without strong direction, AI can sometimes create more problems than it fixes. For instance, employees might upload client data to a public tool like ChatGPT or automate tasks that still need humans.

AI for business leaders is about more than knowing which tools to recommend or how to write a prompt. You also need data literacy, strategic thinking, change management, and other essential skills.

This guide breaks down AI leadership skills for managers and how they can help you overcome common challenges.

The evolution of leadership in the age of AI 

Managing people used to be about supporting employees. Now, AI has become a third wheel in the relationship. The World Economic Forum (WEF) estimates that around a third of workplace tasks have already been automated.²

You might assume this means managers have shorter to-do lists. In many cases, though, their responsibilities have changed, not gone away.

One new task is helping employees adapt to AI. According to the WEF report, 95% of HR leaders say middle managers play the biggest role in helping employees use AI effectively, and 92% say they're crucial to redefining job roles.²

For example, you might teach your team how to use content generators ethically or use AI to handle support tickets. These tasks often require extra training, especially as AI tools keep changing.

Managers also need to decide how to use AI to help meet their organization's goals, not just handle everyday tasks. This might involve using data to identify new problems that AI can solve or which automations will have the biggest impact on productivity.² If your company ships products, for instance, you might use AI to predict bottlenecks so you can avoid them before they affect deliveries.

Essential AI management skills for modern leaders 

"The job of every leader is to rearchitect work," according to the Microsoft 2026 Work Trend Index.¹ That doesn't just mean telling your employees when to use AI or recommending tools. It's about finding new ways for AI and humans to work together.

These AI leadership skills can help you manage these changes:

• AI fluency: Understanding the nitty-gritty of how AI works and its limitations² 
• Communication: The ability to set direction and explain decisions to people from different backgrounds² 
• Contextual reasoning: Knowing how AI outputs relate to specific situations and when a recommendation makes sense (or doesn't)²
• Data literacy: Understanding how to use AI to analyze data, interpret its findings, and put them into action³
• Ethical AI governance: Setting clear policies and rules to help everyone use AI safely and transparently, such as not inputting sensitive data into public models³
• Strategic thinking: Identifying problems and opportunities that AI can assist with² 

AI management skills make it easier to support collaboration between IT and business teams. If you have strong communication skills, you might explain your marketing team's goals to the IT team. Then both teams could work together to choose the best AI tools.

Meanwhile, strategic thinking could help you spot opportunities to use AI across different workflows. If a new customer support bot would save time, you could help the IT and support teams develop one.

Bridging the gap between business strategy and AI 

Organizations don't always consider the big picture when investing in AI. Nearly half (44%) take a piecemeal approach, while 32% let departments decide what to prioritize. Only 9% base their investments on an overall business strategy, according to SAP and Oxford Economics data.⁴

These tactics can help you connect AI tools to specific business goals:⁵

• Decide what you want to accomplish, such as answering customer questions faster or reaching more people with your marketing campaigns
• Start with a single use case that could make a big difference without requiring much effort
• Gather baseline data so you can compare results before and after using AI
• Decide which metrics you'll use to track your progress and how often you'll check them

Use your baseline data and metrics to measure the return on investment (ROI) of your chosen AI tools. You might compare how long an AI chatbot takes to complete support tickets with how long your human team takes. Then estimate how much money you'd save by using the chatbot to reduce the time your support reps spend on these tasks.

Encouraging employees to experiment with AI tools and creating a culture of learning can also lead to more innovation in your workplace.⁶

Overcoming challenges in AI leadership 

Even the most capable managers can hit roadblocks when adopting AI. Here are a few common roadblocks and how to handle them:

• Employees resist using AI: Provide hands-on training to help your team build confidence with AI tools and demonstrate how this technology can assist with their day-to-day tasks
• Stakeholders are concerned about data privacy: Choose secure tools from trustworthy vendors and be transparent about how you use data
• Workers don't trust automated systems: Build in human oversight at critical stages so AI isn't making important decisions

Advance your AI leadership skills with KU 

AI skills for managers are no longer a nice-to-have. As more organizations adopt this technology, building strong AI and leadership skills can help you stay competitive.

Strengthen your AI leadership skills with the University of Kansas's online MBA / M.S. in Business Analytics (MSBA). This dual degree helps you develop a versatile foundation in management, data analysis, AI, and other fields. The rigorous curriculum includes courses from both the MBA and MSBA programs, helping you bring together different skills and knowledge.

A dual MBA / MSBA can lead to many careers in AI leadership, such as analytics manager and strategy and analytics consultant. Explore our admissions process or start your application. You can also reach out to an admissions outreach advisor to learn more about the dual degree and potential career paths.