Here are some examples of how a leader could use AI to make better decisions:

1. Predictive Analytics: A leader in a retail company could use AI-based predictive analytics to forecast sales trends based on historical data and current market conditions. This could inform decisions about inventory management, promotional activities, and resource allocation.
2. Recruitment Decisions: Using AI-powered recruitment tools, a leader could analyze large volumes of job applications to identify the most suitable candidates based on specific job requirements. This could lead to more efficient and effective hiring decisions.
3. Customer Insights: A leader in a customer-centric organization could use AI to analyze customer behavior and feedback. This could provide insights into customer preferences, pain points, and behavior patterns, informing decisions about product development, marketing strategies, and customer service improvements.
4. Risk Management: In a financial institution, a leader could use AI tools to analyze patterns and trends in financial data, helping to identify potential risks and make informed decisions about risk mitigation strategies.
5. Operational Efficiency: A leader in a manufacturing company could use AI to optimize production processes, such as by predicting maintenance needs to minimize downtime or using machine learning to optimize production schedules. This could inform decisions about process improvements and resource allocation.
6. Strategic Planning: A leader could use AI to analyze market trends, competitor activities, and internal performance data. The insights gained from this analysis could inform strategic decisions about the company's direction, objectives, and initiatives.
7. Performance Management: A leader could use AI tools to analyze employee performance data, identifying patterns and trends that could inform decisions about training needs, performance interventions, and talent management strategies.
8. Financial Decisions: AI can analyze large volumes of financial data to provide forecasts, identify trends, and assess the potential impacts of various financial decisions, helping leaders make more informed budgeting and investment decisions.

In each of these examples, the leader is using AI as a tool to gather and analyze data, providing insights that can inform their decisions. It's important to note, however, that while AI can provide valuable insights, the final decision-making responsibility still lies with the human leader.