Hi Reader!

Last week I wrote about how AI is quietly taking over our cognitive powers—and what we need to do about it.

This week's newsletter is on a more positive note: how to learn anything with AI.

Because, honestly, we now have the best tutor in the world. One who knows everything we want to know and can teach us anything we need. Sure, he can also give us a bunch of crap. But using the right approach, you can learn anything you want. Fast.

The Learning Crisis of Too Much Information

We're drowning in information but starving for understanding.

When you're trying to learn something new, you can Google so much, but the learning curve still feels impossibly steep.

I've coached so many talented professionals, smart, intelligent, who don't have time to sift through hundreds of articles or take another certification course.

And then there's AI. Just sitting there. Ready to explain anything. And the real trick here is to frame it so you are not drawing, but building.

Real learning happens when you engage, challenge, apply, and refine. And that's exactly what AI can help you do—if you know how to use it strategically.

Download a high-quality PDF of this infographic here

15 Ways to Turn AI Into Your Personal Learning Lab

I’ve spent the last year experimenting with how to learn faster and more effectively using AI. Not theory. Not generic tips. Practical techniques that actually work.

Here are my favorites:

1. Ask AI to explain it at multiple difficulty levels

“Explain Kubernetes as if I’m a new PM. Then explain it at an expert level.” This reveals both the foundation and the nuances you’ll need as you grow.

2. Request a powerful analogy you already know

“Compare data warehouses to restaurant operations.” The limits of the analogy are just as illuminating as the parallels.

3. Ask AI to build a framework just for you

Generic frameworks rarely stick. Request customized structures: “Create a simple framework to analyze LLM architectures for non-technical leaders.”

4. Teach it back to AI and ask for corrections

Explain your understanding, then ask: “What’s inaccurate, incomplete, or misleading?” You’ll quickly discover the gaps—and fill them.

5. Turn knowledge into a real decision tool

“Based on this concept, create a decision guide for choosing between in-house vs. vendor solutions.” When knowledge becomes operational, it becomes memorable.

6. Ask AI to generate job-relevant use cases

“Show how product teams, HR teams, and finance teams would use predictive analytics differently.” Context makes all the difference.

7. Ask for examples with real-world constraints

“Explain AI onboarding automation with a limited budget and no internal data team.” Constraints reveal what’s truly essential versus merely ideal.

8. Use AI to turn theory into step-by-step execution

“Turn the SPICE negotiation framework into a checklist for vendor conversations.” Tactical breakdowns transform concepts into behaviors you can practice.

9. Request a visual—a sketch, mind map, or diagram

“Create a visual map of how RAG-powered knowledge bases support employee queries.” Spatial representations illuminate relationships that paragraphs obscure.

10. Simulate an expert conversation

“Act as a CFO. Challenge my proposal for a skills academy.” These dialogues force you to articulate, defend, and refine your understanding.

11. Simulate a skeptical stakeholder

“You’re a CISO. Push back on using external AI tools for internal knowledge.” Preparing for objections strengthens your grasp and prepares you for real-world resistance.

12. Do a 30-minute crash course with spaced mini-modules

“Teach me financial modeling in 3 mini-lessons of 10 minutes.” Breaking complex topics into digestible segments dramatically improves retention.

13. Ask AI to summarize only what matters for your role

“Summarize GDPR, but only what a B2B SaaS product manager must know.” Role-targeted summaries save time and prevent cognitive overload.

14. Convert learning into templates

“Turn what I’ve learned about market segmentation into a workforce planning template.” Templates extend the value of your learning far beyond the initial investment.

15. Apply learning instantly with a guided micro-project

“Guide me through creating a prototype chatbot for internal onboarding. One step at a time.” Hands-on projects transform passive knowledge into active competence.

The Real Shift

The beauty of these techniques is their versatility. Whether you're mastering a technical skill, understanding a business framework, or navigating organizational dynamics, these approaches accelerate comprehension and retention.

More importantly, they transform AI from a simple answer machine into a personalized tutor, sparring partner, and thought collaborator.

In our rapidly evolving professional landscape, the ability to learn quickly and effectively isn't just valuable; it's essential.

And now? You have the tools to do it.

Talk soon,

Daria

P.S. If you haven’t read my Forbes Coaches Council article yet (Decision Fatigue: The Overlooked AI Threat That’s Worse Than Job Cuts (And How To Fight It), I recommend starting there before diving into the recommendations above. It’ll give you the foundation you need to use AI as a learning tool—not a crutch.