From Class Assignment to Curiosity Project

October 23, 2025

Learning AI as a Marketer

A marketer and MBA student shares how a classroom assignment turned into a learn-along journey exploring AI in marketing, creativity, and strategy.

The Assignment That Sparked It All

When my BUS 234A – Social Media Marketing professor announced that our next assignment was to start a blog, my first reaction was simple: What should I even write about?

There were obvious choices brand strategy, consumer trends, campaign storytelling but one topic kept pulling me in like a magnet: Artificial Intelligence.

AI is everywhere in marketing right now. Some call it revolutionary; others call it overrated. I just knew that if I wanted to keep growing as a marketer, I couldn’t ignore it. So instead of choosing a “safe” topic, I decided to turn this assignment into an experiment — a personal learning journey where I explore how AI is changing the way we create, plan, and communicate.

Why I Chose AI

As I work on my MBA, I keep hearing the same question from classmates and colleagues:

“Is AI going to replace us?”

It’s a fair question — but it’s the wrong one. The better question is:

“How can I use AI to do better, smarter work?”

That’s the mindset behind this blog. I don’t want to be a spectator watching technology reshape marketing; I want to be an active participant learning how to collaborate with it.

And since AI works best through collaboration, I decided to bring an actual AI partner into the mix: “ANNA” a custom GPT. Together, we’re co-writing this series — half marketer, half machine, one hundred percent curiosity.

Finding a Starting Point

Once I chose AI, I immediately hit a wall. The topic felt endless — machine learning, generative models, automation, ethics, data bias, creativity tools… Where do you even begin?

After a few hours lost in the AI rabbit hole, I remembered one of my own rules of strategy: you can’t break the game until you’ve learned how it’s played.

So I zoomed out and asked: What does “using AI creatively and effectively” actually mean?

That question became my anchor. Before diving into tools or tactics, I need to understand the best practices and limitations that come with them.

Because while AI can be impressively intelligent, it’s also imperfect. It can hallucinate (generate false information), fabricate confidence, and reflect built-in biases from the data it’s trained on. Each flaw can cause real damage if marketers use AI uncritically, a topic worth its own deep dive (coming soon).

How This Blog Will Work

Every post will be a small learning project. We’ll pick one challenge like using AI to brainstorm campaigns, write copy, analyze data, create ad designs, logos, fonts or automate reports then test it, break it, fix it, and share what actually works.

This isn’t a tutorial written by an expert. It’s a learn-along journey. I’m learning AI one prompt, one experiment, and one reflection at a time.

Next week’s mission:
I’ll try making ANNA my marketing assistant for seven days — assigning it real tasks I’d normally do myself and then report back honestly on the results. (I’m excited and slightly terrified.)

What I’ve Learned Already

Even before diving deep, one thing is obvious: AI isn’t here to replace creativity — it’s here to amplify it. Used right, AI can save hours, spark new ideas, and push us in directions we’d never find on our own. Used wrong, it can flatten originality or make us lazy thinkers. So the real skill isn’t using AI — it’s knowing when and how to use it.

10 Rules for Using AI Without Losing Your Human Edge

  1. Start with curiosity, not fear. Treat AI as a learning partner, not a threat.
  2. Bring context. AI is smart with data but clueless without direction.
  3. Ask better questions. The quality of your prompt determines the quality of its output.
  4. Keep your fingerprints on the work. AI drafts — you craft.
  5. Use it for leverage, not shortcuts. Automate tasks that free you to focus on strategy and creativity.
  6. Cross-check facts. AI can hallucinate; verify before publishing.
  7. Protect privacy and ethics. Never paste confidential or client data into prompts.
  8. Learn from the output. Study why it wrote something — that’s how you grow.
  9. Stay updated. Tools evolve weekly; continuous learning is part of the job.
  10. Remember why you started. AI should expand your curiosity, not replace it.

Closing Thoughts

This blog started as a classroom assignment but quickly became something bigger — a personal challenge to re-arm myself with the skills the future demands.

If you’ve ever wondered how AI fits into marketing or felt intimidated by the buzzwords, I hope you’ll follow along. Together, we’ll figure out what happens when human creativity and machine intelligence learn to collaborate instead of compete.

Next Post: “What Is ChatGPT and Why It Matters for Marketers”

Stay tuned — and wish us luck. 🚀

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