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Using AI Responsibly Videos
How privacy awareness, verification, and sensible boundaries support safer and more responsible AI use.
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December 3, 2025
The Biggest Reason People Avoid AI Isn’t Complexity—It’s Privacy
How information shared with AI may be handled, which choices can reduce exposure, and how to build capability without dismissing legitimate privacy concerns.
Read transcript for “The Biggest Reason People Avoid AI Isn’t Complexity—It’s Privacy”
Lightly edited for clarity.
The biggest reason I see people not using AI is privacy concerns. And honestly, that's very reasonable.
By default, most AI tools log your conversations. They store what you type. Many of them are using your conversations to train future versions of those models. That's how the defaults work.
The good news, though, is that you have options. You can turn on no training or zero retention modes. You can use enterprise accounts that don't train on your data. Or, if it's very private, you can run a local LLM, and none of the information ever leaves your device.
I'll be covering all this in follow-up videos. So I'll go through which tools truly honor zero retention, the settings that most people don't change and should, how enterprise versus consumer privacy differs, and when you should be using local models. And I'll go through that provider by provider and cover OpenAI, Microsoft, Google, etcetera.
Here's the key, though: you need to decide for yourself what you're comfortable sharing.
And I'd recommend you start with low risk tasks. So use AI for planning, for brainstorming, for cleaning up your documentation. And then as you see the value that provides, and your comfort level increases, and your knowledge of privacy increases, then you can use it more and more.
Once you understand privacy and how it affects what you do, what you type, which types of models you use, it really unlocks the capabilities of AI and allows you to use it confidently instead of cautiously.
December 9, 2025
Why Most Professionals Feel Behind on AI
Why rapid AI adoption makes capable professionals feel behind, how established work habits create friction, and why regular practice matters more than following every new tool.
Read transcript for “Why Most Professionals Feel Behind on AI”
Lightly edited for clarity.
If you feel behind on AI, there's nothing wrong with you. Your habits came from a different world.
Most of us built our work habits in a pre AI environment. So especially if you're my age, you remember when home computers were new. You remember when the internet was new, then when mobile was new, then when remote work was new. And each one took years for people to fully adjust to.
But AI didn't give us years. It arrived very quickly, and it changed expectations even faster.
It's a lot like the shift to working from home during COVID. The technology was already there—Zoom, cloud files, messaging tools—but our habits were built around offices, commutes, and in person everything.
So the technology changed overnight, and the habits took time to catch up.
AI is the same dynamic, but it's on a much faster timeline. The tools moved ahead instantly, and our habits are still catching up. And that's okay.
Once you build a couple of simple habits—clarifying what you want, asking clean questions, iterating instead of judging the first answer—everything gets easier.
You're not behind. Your habits are from a world that didn't have AI built-in, and habits can change quickly.