From building a rubric to answering a familiar student question, the small tasks of teaching add up. In this presentation, Lacey Gonzalez demonstrates 10 ways faculty can use AI to save time on those tasks while keeping their expertise at the center of the work.

Drawing on examples from her own courses, Lacey shows how she uses AI to develop assignments and knowledge checks, draft responses grounded in course policies, improve LMS pages, and create a course Q&A resource from existing materials. She also shares how AI helped her turn a rough idea into presentation content and served as a thought partner while she developed Leadership Learned by LGH.

Key takeaways:

• Start with a task that already takes time each week.
• Give AI the course materials, learning objectives, and instructions it needs to produce a useful draft.
• Use institutionally approved tools when course or student information is involved.
• Check the result for accuracy, accessibility, and fit before using it.

The presentation includes prompts and examples you can adapt to your own teaching. Throughout, Lacey shows what AI can help produce and where faculty judgment is still needed.

AI disclosure: AI-supported brainstorming and drafting for this presentation. The presenter shown in the video is an AI avatar of Lacey. She reviewed and refined the final content.

What happens when AI gives you a great answer to the wrong question?

In this episode of Leadership Learned, Lacey Gonzalez explores how our assumptions and cognitive biases can influence the questions we ask, and ultimately the decisions we make. As AI makes it easier to analyze information, generate solutions, and move faster, leaders face a new challenge: ensuring they solve the right problem in the first place.

Through a relatable leadership scenario, Lacey examines how AI can unintentionally reinforce what we already believe and how changing the role we give AI can turn it into a thought partner that challenges our assumptions, broadens our perspective, and strengthens our decision-making.

Key Takeaways:

• Our experience is valuable, but it can also create assumptions that influence how we define problems.

• Cognitive biases don't just affect our decisions; they affect the questions we ask.

• AI can reinforce our assumptions when we present them as facts.

• Asking AI to challenge our thinking can uncover information and perspectives we may have overlooked.

• AI should strengthen human judgment, not replace it.

• Better leadership starts with making sure we're asking the right questions.

AI Disclosure: Artificial intelligence was used throughout the development and production of this episode as a thought partner to help research, organize ideas, refine language, and produce content. Every opinion, leadership insight, and editorial decision is my own.

Before we get into leadership, business, artificial intelligence, and everything else we'll explore on Leadership Learned by LGH, I thought you should know a little about the person behind the podcast.

In this introductory episode, I share some of the experiences that shaped who I am—from growing up in a small town in Northeastern Pennsylvania and chasing an Olympic dream to building a career as a business owner, professor, corporate leader, author, facilitator, and thought leader.

But this isn't a résumé. It's the story behind how I think.

My definition of success has evolved throughout my career, and so has my approach to leadership. I've learned from achievement, failure, opportunities I received, opportunities I didn't, people I've taught and led, and plenty of moments when I've had to change direction.

That's what Leadership Learned is about: staying curious, continuing to learn, and being willing to change your thinking when what you know today no longer fits where you're going tomorrow.

If you're new here, start with Episode 0. Then let's see what we can learn together.

AI Disclosure: Artificial intelligence was used throughout the development and production of this episode as a thought partner to help organize ideas, refine language, and produce content. Every opinion, personal experience, leadership insight, and editorial decision is my own.

What should you actually be using AI for?

In this episode of Leadership Learned, Lacey Gonzalez explores five practical ways leaders can start getting more value from AI today: strategic thinking, decision-making, content creation, idea generation, and analysis. Rather than treating AI as a tool that simply produces answers, Lacey examines how it can become a thought partner that stretches your thinking, challenges assumptions, helps you explore new possibilities, and makes sense of the information already in front of you. The goal isn't to hand your work over to AI. It's to use AI intentionally to help you do the work you're already doing better.

Key Takeaways:

• AI can serve as a thought partner without replacing human judgment or leadership.
• Strategic thinking improves when AI helps surface risks, alternatives, and possibilities you may not have considered.
• Leaders can use AI to strengthen decision-making by defining what success looks like and identifying meaningful measures before moving forward.
• AI can support content creation, idea generation, and analysis while the leader remains responsible for context, accuracy, and final decisions.
• You don't need to automate everything or master dozens of tools. Start with one thing you're already doing today and explore how AI might help you do it better.

AI Disclosure: Artificial intelligence was used throughout the development and production of this episode as a thought partner to help research, organize ideas, refine language, and produce content. Every opinion, leadership insight, and editorial decision is my own.

When AI gives you an answer, how do you know if you can trust it?

In this episode of Leadership Learned, Lacey Gonzalez explores what leaders need to understand about artificial intelligence to use it effectively. Starting with a real conversation from tax season, Lacey examines what happens when we confuse AI-generated responses with authoritative information and why understanding how to communicate with AI matters. From better prompts to better judgment, this episode challenges leaders to move beyond simply using AI and start learning how to use it well.

Key Takeaways:

• AI-generated information should not automatically be treated as authoritative.
• The quality of your communication with AI can significantly influence the quality of the response.
• Better AI results require context, clear direction, and human judgment.
• Leaders model responsible AI use through how they question, evaluate, and apply what AI produces.

AI Disclosure: Artificial intelligence was used throughout the development and production of this episode as a thought partner to help research, organize ideas, refine language, and produce content. Every opinion, leadership insight, and editorial decision is my own.

If everyone has access to the same technology, what really creates a competitive advantage?

In this episode of Leadership Learned, Lacey Gonzalez explores why the future of leadership isn't about having better AI tools; it's about becoming a better leader. As artificial intelligence becomes available to everyone, the true differentiator is the leader who knows how to develop people, create a compelling vision, build trust, and understand when to step in... and when to step back. Technology may level the playing field, but leadership is what separates organizations that adapt from those that thrive.

Key Takeaways:

• AI is becoming a commodity, not a competitive advantage.

• Developing people creates a lasting organizational advantage.
• Organizations that adapt will outperform those that resist change.
• The future belongs to leaders who learn continuously.

AI Disclosure: Artificial intelligence was used throughout the development and production of this episode as a thought partner to help research, organize ideas, refine language, and produce content. Every opinion, leadership insight, and editorial decision is my own.

What if the biggest challenge of artificial intelligence isn't the technology, it's how we choose to respond to it?

Throughout history, every generation has encountered a moment when a new innovation disrupted familiar ways of working. In this episode of Leadership Learned, Lacey Gonzalez explores why today's AI revolution is simply the latest chapter in a story that has repeated for centuries.

Whether you're excited about AI, skeptical of it, or somewhere in between, this conversation isn't really about artificial intelligence. It's about adaptability, lifelong learning, and the leadership mindset required to navigate uncertainty with confidence.

Because history doesn't just repeat itself—it reveals the leaders who were willing to grow while others stood still.

Key Takeaways:

• Every generation experiences a defining moment of technological change.

• Why your mindset toward AI matters more than your technical expertise.
• Practical ways to lead yourself and others through uncertainty, change, and continuous learning.

AI Disclosure: Artificial intelligence was used throughout the development and production of this episode as a thought partner to help research, organize ideas, refine language, and produce content. Every opinion, leadership insight, and editorial decision is my own.

What if the biggest mistake leaders are making with artificial intelligence has nothing to do with the technology itself?

In this inaugural episode of Leadership Learned by LGH, Lacey Gonzalez challenges a common assumption about AI: that its greatest value is providing answers. Instead, she argues that AI's true potential lies in helping leaders think more deeply, ask better questions, and uncover blind spots before making important decisions.

Key Takeaways:

• Why AI is more valuable as a thought partner than an answer engine.
• How asking better questions leads to better leadership.
• Why human judgment, trust, and experience remain irreplaceable.
• Practical ways to use AI to improve your thinking and decision-making.

AI Disclosure: Artificial intelligence was used throughout the development and production of this episode as a thought partner to help research, organize ideas, refine language, and produce content. Every opinion, leadership insight, and editorial decision is my own.