How to Use AI to Learn a New Skill Fast: I Built My Own 2-Week MBA

If you're anything like me, you've sat in a meeting where everyone seemed fluent in a language you never got taught. Acronyms flying. Frameworks you'd never heard of. You nod, take notes, and promise yourself you'll Google it later.

I Googled it. Then I went a lot further.

The real question. I didn't need a definition. I needed to actually get it, fast enough to walk into the next meeting and contribute. Fluency is what gets you invited back into the room, and into new ones.

Steal this prompt

I want to become fluent in [topic] in two weeks so I can speak confidently about it in meetings. Before you build anything, ask me five questions, one at a time: what I already know, the specific terms or moments that lost me, how much time I have each day, how I learn best, and what "fluent" looks like for me. Then build a 14-day, MBA-style program with: a daily masterclass lesson in plain English, a workbook exercise for each day, podcast and video recommendations for each week, a glossary of every key term, and an index at the end. Make day 14 a mock meeting where you quiz me like a skeptical senior colleague.

You're not the only one nodding along

The research backs this up:

• A Stanford study of genetics conferences found women asked questions well below their share of the room, but their questions picked up once the gap was pointed out. (Stanford)
• Across 18 surveys covering more than 140,000 students and workers, about half of men used generative AI between 2023 and 2024, versus roughly a third of women. (Harvard Business School)
• The 2025 Women in the Workplace report found only 21% of entry-level women say their managers encourage them to use AI tools, compared with 33% of men. (Women in the Workplace)
• Lean In's own research found 33% of men use AI daily, compared to 27% of women, and the organization is now refocusing on closing the AI gender gap. (Fortune)

Translation: nobody is handing us the training. So build your own.

What it built

• A masterclass a day. Short, plain-English lessons that stacked like a real syllabus.
• A workbook. Exercises that made me apply each idea, not just read it.
• Podcasts and videos. Listening for school runs and laundry. (My car time podcast list is a good place to start.)
• A glossary. Every term from that meeting, explained like a smart friend would.
• An index. So two months later, I can still find the thing I half remember.

What worked, and the honest misses

What worked: The day 14 mock meeting. Getting grilled by AI before getting grilled by a human is a gift.

The miss: AI will happily recommend a podcast episode that doesn't exist. Check every link before you build your commute around it. And the glossary got much sharper once I fed it the actual terms I'd heard in the room.

One rule: Never paste confidential work details into AI. Describe the topic, not the company, and check your company's AI guidelines first.

The payoff

Two weeks later I walked into the same kind of meeting and followed every word. I even asked the question that moved the conversation forward.

New to all this? Start with how I find time to learn AI, then grab more prompts from the prompt library.

Results vary. Your timeline depends on the topic and the time you put in.