Two months ago, I joined an AI class.
I thought I was ready.
I wasn’t.

I understood less than 50% of what was going on.

Everyone was speaking “AI language”: Transformer,
Diffusion Model,
Fine-tuning,
RAG…

Then came all these strange names: Ollama, Colab, HuggingFace, Vector Database, Margo…

My Excel-trained brain almost overheated.

But …
I stayed.
I learned.
I survived.

The only thing I had was my mindset: I must learn this.

Toolset? A little bit — mostly theory.
Skillset? Not yet — haven’t really tried hands-on.

Back to office, I told myself: just pick one boring task and try to automate it.

I chose data entry.

With ChatGPT, some Python, lots of YouTube—and help from my 21-year-old IT intern.

I’m not an expert. I’m not great at it (yet).

Some of my prompts failed.
Some AI models gave me nonsense answers (yes, AI can “hallucinate”).
Some automations crashed on the first day.

But every failure taught me something.

The most powerful thing isn’t AI.
It’s us humans — because we can bounce back from mistakes.

Now I ask:
Can AI fix audit fatigue?
Can it build a tax knowledge base?
Can we create a chatbot for client FAQs?

I’m not a coder.
But
I’m not just an accountant anymore.

If someone like me had to Google “What is a token in AI?” and still managed to build something…

You can too.

You’re not late.
You’re not behind.
You’re just getting started.

Let’s grow together.

Time to sit down with my IT intern and discuss with AI classmates on current AI projects.