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<v Speaker 1>Helping leaders motivate their people to a higher level of

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<v Speaker 1>performance through strong human relations, team building, and golajieving. This

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<v Speaker 1>is the seven Minute Leadership Podcast with your host Paul Fellavaledo.

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<v Speaker 2>Hello everyone, and welcome to the Seven Minute Leadership Podcast.

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<v Speaker 2>It's episode five seventy six. It's a new year, clean slate,

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<v Speaker 2>leadership reset, and today we're talking about something that a

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<v Speaker 2>lot of leaders are either overusing, under using, or completely misunderstanding. AI.

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<v Speaker 2>This episode is not about tools. It's not about prompts,

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<v Speaker 2>it's not about chasing the newest shiny thing. This is

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<v Speaker 2>about filters. Because great leaders don't make decisions faster, they

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<v Speaker 2>make them cleaner and right now. AI can either help

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<v Speaker 2>you clean up your thinking or amplify your worst habits.

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<v Speaker 2>AI does not make decisions better leaders do. AI only

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<v Speaker 2>reflects the quality of the question, the clarity of the standards,

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<v Speaker 2>in the discipline of the person using it. If you

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<v Speaker 2>don't have filters, AI becomes noise. If you do, it

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<v Speaker 2>becomes leverage. So let me ground this in something familiar

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<v Speaker 2>in aviation. We don't stare at every gauge equally. We

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<v Speaker 2>use filters. What matters right now, what matters later, what's

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<v Speaker 2>a warning versus what's background data? The cockpit gives you information,

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<v Speaker 2>not judgment. AI is the same way. So today I

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<v Speaker 2>want to give you a few practical AI filters you

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<v Speaker 2>can use as a leader starting this week to make

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<v Speaker 2>better decisions without drowning in data or outsourcing your thinking.

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<v Speaker 2>The first filter the relevant filter. Every time AI gives

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<v Speaker 2>you an answer, ask this, does this apply to my reality?

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<v Speaker 2>AI loves general advice. It pulls from averages, trends in

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<v Speaker 2>broad scenarios. Leadership doesn't happen in averages. It happens in

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<v Speaker 2>your building, with your people under your constraints. If an

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<v Speaker 2>answer sounds polished but ignores your culture, your budget, your

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<v Speaker 2>risk tolerance, or your operational reality, it's irrelevant. Relevant beats

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<v Speaker 2>impressive every time. The second filter the accountability filter, Ask this,

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<v Speaker 2>who owns the outcome? If this goes wrong? AI never

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<v Speaker 2>owns outcomes you do. If you start letting AI recommendations

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<v Speaker 2>feel authoritative instead of advisory, you're drifting into passive leadership.

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<v Speaker 2>Good leaders use AI like a whiteboard, not a boss.

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<v Speaker 2>Run every suggestion through this lens. Am I comfortable standing

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<v Speaker 2>in front of my team and saying this was my call?

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<v Speaker 2>If the answer is no, stop right there. The third filter,

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<v Speaker 2>the simplicity filter. AI can overcomplicate things fast. It loves layers,

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<v Speaker 2>frameworks in multi step plans that look great on paper

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<v Speaker 2>and fall apart on Monday morning. Leadership clarity wins by subtraction.

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<v Speaker 2>Ask does this simplify the decision or bury it? If

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<v Speaker 2>it adds friction, confusion, or unnecessary steps, it's not helping

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<v Speaker 2>you lead. Strip it down, make it executable. The fourth filter,

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<v Speaker 2>the human impact filter. AI does not feel consequences people do.

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<v Speaker 2>Before acting on any AI assisted decision, ask how does

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<v Speaker 2>this land with the humans involved? Morale, trust, credibility, and

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<v Speaker 2>timing still matter. A technically correct decision delivered at the

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<v Speaker 2>wrong moment can still fail. Leadership is not a math problem.

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<v Speaker 2>It's a people problem with numbers attached. The fifth filter

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<v Speaker 2>what I call the red key filter, and this is critical.

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<v Speaker 2>Ask yourself, is this a routine decision or a high

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<v Speaker 2>consequence one? Routine decisions can be AI assisted heavily. Scheduling ideas, draft, language,

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<v Speaker 2>scenario brainstorming, no problem, red key moments, hiring, firing, discipline,

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<v Speaker 2>crisis response, public statements. Those stay in human hands. AI

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<v Speaker 2>can support your thinking but never replace your judgment. If

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<v Speaker 2>the stakes are high, your presence must be higher. Now

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<v Speaker 2>let me say this clearly. Using AI does not make

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<v Speaker 2>you weak blindly following it does. Strong leaders don't fear tools,

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<v Speaker 2>they control them. AI should slow you down where you

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<v Speaker 2>tend to rush, and speed you up where you tend

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<v Speaker 2>to stall. That's the balance. Here's a simple leadership reset

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<v Speaker 2>exercise you can do this week. Take one decision you've

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<v Speaker 2>been avoiding. Run it through AI, but don't ask what

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<v Speaker 2>should I do? Ask instead? What am I not seeing?

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<v Speaker 2>What risks am I underestimating? What assumptions am I making?

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<v Speaker 2>Then apply your filters relevance, accountability, simplicity, human impact. You'll

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<v Speaker 2>notice something interesting. The decision usually becomes clearer, not louder.

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<v Speaker 2>AI didn't side for you, It helped you think better.

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<v Speaker 2>That's the goal. As leaders are job in twenty twenty

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<v Speaker 2>five is not to compete with AI, it's to stay

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<v Speaker 2>human while using it wisely, clear thinking, clean decisions. Ownership

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<v Speaker 2>stays with us. That's leadership. So as you step into

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<v Speaker 2>this new year, don't chase faster decisions, chase better ones.

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<v Speaker 2>Use AI as a filter, not a crutch. Keep your

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<v Speaker 2>standards high, your judgment, sharp in your leadership personal That's

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<v Speaker 2>how you reset without losing who you are. And for

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<v Speaker 2>more go to Paulflavalito dot com. I have a ton

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<v Speaker 2>of free documents that you can download today. This has

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<v Speaker 2>been the seven minute Leadership podcast and I thank you

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<v Speaker 2>for listening.

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<v Speaker 1>For more Paul Fallavalito podcasts, visit Paul fellowlito dot com