The difference is in your expertise

We all know AI as a great assistant, one that can help you brainstorm and generate creative results from a wide array of data it's been trained on.

But here's what we often miss: it's not always going to give you the best results. And that makes sense, actually, because AI doesn't have judgment. It can only provide possible solutions based on your input (context, data, prompt).

The amazing results we get are usually slightly above average, but they appear great, especially if you know very little in the area you're working on.

This in itself is not a bad thing. I'm not trying to point out a flaw in AI. I'm trying to highlight an important insight.

YOUR EXPERTISE ALWAYS MAKES THE DIFFERENCE

If you've ever worked with AI on a subject you're an expert in, you probably know what I'm talking about.

When your expertise is actively influencing your work with AI, the results are directly proportional to your level of expertise.

This is where you witness the full power of AI. When you help it navigate the right trained data based on your judgment and expertise, you create unique results others can't replicate.

This is why I always say: focus primarily on your industry. There's a lot your years of experience can unlock, and it's a win-win, because those with no plans to switch careers get to deepen their work in the field they know best.

I believe everyone should work with AI across three layers:

Primary AI work, where you use your expertise and experience to create unique work and improve your industry.
Secondary AI work, the auxiliary functions needed for your primary AI work, business, projects, and other important tasks.
Tertiary AI work, which powers your hobbies, entertainment, and other luxuries.

This is how industries maintain their relevance, prosperity becomes attainable, and the quality of the human experience is preserved in these times.

What kind of work are you using AI for?

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The difference is in your expertise