Inspire AI: Transforming RVA Through Technology and Automation
Our mission is to cultivate AI literacy in the Greater Richmond Region through awareness, community engagement, education, and advocacy. In this podcast, we spotlight companies and individuals in the region who are pioneering the development and use of AI.
AI is moving into every corner of work, and it’s creating a quiet trap for leaders: the belief that we have to become deeply technical before we can lead. We push back on that idea and argue for something far more useful: AI literacy. For us, AI literacy isn’t about Python, model building, or chasing the newest tool. It’s the ability to make good decisions when AI is generating information faster than any team can fully verify on instinct alone.
We walk through the leadership shift happening right now: information is no longer scarce, so our value isn’t collecting answers, it’s evaluating them. That means testing whether an AI recommendation is accurate, relevant, complete, and grounded in reality. We share a simple, repeatable set of five questions we can use anytime AI produces a confident output: where did this information come from, what assumptions is it making, what might be missing, what would change the recommendation, and does it align with our values. These questions turn AI from a black box into a thinking partner and help protect trust, quality, and judgment.
We also zoom out to the organizational side of AI leadership. AI literacy scales best as a team culture, not an individual badge. We talk about normalizing healthy skepticism, rewarding curiosity, and building habits where we compare AI-generated insights with human experience, test assumptions, and learn publicly so everyone gets smarter together.
If you want practical AI decision making, stronger critical thinking, and a leadership approach that keeps wisdom at the center, press play. Subscribe for the next conversation, share this with a leader on your team, and leave a review if it helps, then tell us: what’s the first question you ask when AI gives you an answer?
Want to join a community of AI learners and enthusiasts? AI Ready RVA is leading the conversation and is rapidly rising as a hub for AI in the Richmond Region. Become a member and support our AI literacy initiatives.
Welcome back to Inspire AI, the podcast where we help leaders, builders, and communities become calm, capable, and intentional in an AI accelerated world. Over the last three episodes, I've explored why leadership matters more than ever, how humans and AI work best together, and why trust is becoming the ultimate competitive advantage. Today, we're going to tackle a misconception that holds many leaders back. The belief that you need to become technical before you can lead in the age of AI. The way things are shaping up now, you definitely don't need to learn Python.
You don't need to build machine learning models, and you certainly don't need to become a data scientist, but you do need something increasingly valuable, AI literacy. It's not technical mastery, it's more about judgment. Because leaders who ask the best questions will consistently outperform the leaders who simply have the newest tools. There's a new leadership skill rising above the rest. You see, there once was a time when business leaders could safely leave technology to the IT department. I'm here to tell you that those days are over. AI is influencing all decisions. Marketing, hiring, finance, healthcare, HR, education, customer service, product development, and strategy. Whether you're aware of it or not, AI is already shaping decisions across your organization. Anybody listening to this podcast is probably saying, duh. But that means that leaders can no longer afford to say, I'm just not a technology person. Fortunately enough, AI literacy isn't about understanding every algorithm. It's more about understanding enough to make sound decisions. The same way a CEO doesn't need to build an airplane to lead an airline. They simply need to understand the questions that matter. Because information has become abundant, leaders no longer compete based on access to information. The information is everywhere. Ask AI assistants to tackle almost any business question within seconds. They can take pages of analysis and build charts and construct new ideas and have recommendations. Bottom line, the challenge is no longer finding information. The challenge is determining whether it's useful, whether it's accurate, whether it's complete, whether it's relevant. So that shifts the role of leadership. Your value isn't collecting the answers. Your value is evaluating
them. So think of these five questions. Whenever AI gives you a recommendation, stop to think about them. They're pretty simple. Question one, where did this information come from? Reliable decisions begin with reliable sources. If the foundation is weak, the conclusion probably is too. Question two, what assumptions are being made? Every recommendation depends on assumptions because markets change, customers change, organizations change. Good leaders know that assumptions deserve inspection. Question three, what might be missing? AI can summarize what it sees, but it cannot always recognize what's absent. Missing perspectives often become tomorrow's biggest risks. Question four, what would change this recommendation? Strong AI leaders and evaluators explore alternatives before making decisions. Instead of looking for confirmation, they look for conditions that would require a different approach, edge cases even. Question five, does this align with our values? The best recommendation isn't always the right recommendation. Leadership requires balancing efficiency with purpose. That's something no algorithm can decide for you. In this age, curiosity beats certainty. One of the most important leadership shifts in the AI era is moving from certainty to curiosity. Many leaders believe they're expected to have answers, though increasingly they're expected to ask better questions. Think about great coaches. They don't simply tell athletes what to do or executives what to do. They ask questions that unlock better thinking. Great teachers do the same. Mentors, the same, leaders, the same. AI should amplify this dynamic. The better your questions, the better your conversations. The better your conversations, the better the results. Here's a practical example. Imagine your executive team is considering entering a new market. Years ago you might have spent weeks gathering reports, commissioning consultants, analyzing competitors. Today, with deep research, AI can produce that information almost instantaneously. So what's your job as a leader? Did the AI overlook cultural differences? Does it understand your organization's capabilities? Have regulatory changes been considered? What risks aren't reflected in the historical data? Has anyone challenged the recommendation? Notice that none of those questions require any coding, technical comprehension. They just require strong judgment. And that shapes AI
literacy. So how do you build an AI literate team? Something worth considering. It's not an individual achievement. It's a cultural capability. The strongest organizations encourage people to compare AI generated insights with human experience. They normalize asking the question, how confident are we in this answer? Healthy organizations create environments where curiosity is rewarded, experimentation, especially what doesn't work, and sharing that information. This is place where assumptions should be challenged, where people are comfortable saying, let's test that. That's how confidence grows, individually and organizationally. It's not through blind trust, but thoughtful exploration. Here's how to consider implementing this sort of strategy in your week.
First, use AI as a thinking partner, not a decision maker. Allow it to generate ideas, explore alternatives, and challenge your assumptions. Keep yourself and your team responsible for final decisions. Second, make questioning a team habit. Whenever AI presents an answer, ask someone in the room what might be missing. It's a simple question that can dramatically improve decision quality. Third, keep learning publicly. The best leaders don't pretend to know everything. They model curiosity. When leaders openly learn, teams become more willing to learn as well. One of the most profound changes in I brings isn't technological. It's intellectual. The leaders and practitioners who succeed won't know the most, but they'll think the best. They'll think critically. They'll ask sharper questions. They'll evaluate evidence more carefully. Of course they'll remain humble when certainty feels tempting. They'll help their organizations become wiser, not just faster. Because in a world overflowing with information, wisdom becomes the rarest resource. Hasn't leadership always been about cultivating wisdom? This episode should help you think differently. Should help you lead through your team's change or your own personal journey. It was about asking better questions so you can become more valuable than another demonstration of a new AI tool. In the next episode, we're going to explore why organizations that see the greatest value from AI don't simply automate work, they redesign it. This is about workflow transformation, why productivity gains often stall, and how leaders can rethink the way work actually gets done. Because sometimes the biggest opportunity isn't doing the same work faster. It's redesigning the work altogether. So until next time, stay curious, keep innovating, and keep asking better questions as you lead with wisdom in an increasingly intelligent world.
