How do I keep up with AI developments?

You don't have to keep up with everything. Focus on the one tool you use most and go deep into its capabilities for your specific work. Let the rest be background noise.

Which AI tool should I use for my business?

The one that solves your most pressing problem today. Pick one — Claude, ChatGPT, Gemini — and actually learn it before jumping to another. Most people underuse their current tool rather than needing a different one.

Is AI going to replace marketers?

AI is a powerful assistant, but it cannot replace strategic thinking, judgment, taste, or the ability to understand what a business actually needs. The marketers who learn to work effectively with AI will thrive. The tools alone won't replace them.

Do I need to learn every new AI tool that launches?

No. Explore a new tool only when your current one genuinely cannot do something you need. Deliberate exploration with a clear purpose is productive. Aimless tool-hopping is procrastination.

Is everyone really using AI?

Not even close. Meaningful AI adoption is still concentrated among a small fraction of the global population. The social media hype significantly overstates how widely these tools are actually being used in day-to-day work.

Keeping up with the AIs? You Don't Have To

Every week, my LinkedIn feed tells me I’m falling behind.

Claude launched something. OpenAI launched something else. Google dropped a new model.

There’s a new tool that will “10x your productivity.” Another one that will “replace your marketing team.” And somewhere, a guy with a ring light is telling me I can make a million dollars overnight if I just use this one prompt.

It’s exhausting. And honestly? Most of it is noise.

Here’s what I’ve noticed: the people who are actually getting things done with AI aren’t the ones chasing every new release. They’re the ones who picked a tool, went deep, and figured out how to make it work for their specific problems.

So if you’re feeling overwhelmed by the pace of AI development, here’s a simple framework I use. I call it the Depth Over Width approach.

1. Pick One Tool. Commit to It.

This is the hardest part, because the internet will constantly tell you that the grass is greener somewhere else. ChatGPT users hear Claude is better at writing. Claude users hear Gemini has a bigger context window. Gemini users hear about the next shiny thing.

Stop.

Pick one tool that works reasonably well for what you need. Then actually learn it. Understand its settings, its quirks, how to prompt it effectively. Most people are using maybe 10% of what their chosen tool can do, and then switching to another tool to use 10% of that one instead.

That’s not productivity. That’s platform procrastination.

I applied the same thinking when choosing my daily driver hardware — solve the actual constraint, not the spec sheet.

2. Start with Your Use Case, Not the Feature List

Don’t start with “what can this AI do?” Start with “what do I need to get done?”

If you need help drafting client proposals, learn how to do that well with your tool. If you need help with research, go deep on that workflow. If you need help with content, master that specific process.

The feature announcements will keep coming. New capabilities will keep launching. But if they don’t serve your actual use case, they’re just distractions dressed up as progress.

3. Explore Only When You Hit a Wall

Here’s when you should look at other tools: when your current one genuinely can’t do something you need.

For example, I use Claude for most of my work — writing, strategy, research, analysis. But when I need to generate visuals for a social media post, Claude isn’t the right tool for that. So I explore purpose-built tools for that specific gap. That’s deliberate exploration with a clear reason, not aimless tool-hopping because someone on Twitter said so.

The key word is need, not want. You don’t need to try every tool. You need to solve your problems.

4. Ignore the Hype Industrial Complex

Let me say something that might be unpopular: the breathless AI hype on social media is not designed to help you. It’s designed to get engagement.

“This AI tool will replace your entire marketing team!” No, it won’t. “I built a SaaS app in 30 minutes with zero code!” Cool, but can it handle real users, edge cases, and scale? What about maintenance?

The people posting these things are optimizing for likes and follows, not for giving you genuinely useful advice.

And here’s the thing that rarely gets said: meaningful AI usage is still concentrated among a very small percentage of the global population. Outside the Twitter and LinkedIn bubble, most people haven’t even tried these tools. The breathless “everyone’s using AI and you’re falling behind” narrative is, at best, dramatically overstated.

You’re not behind. The race isn’t what they’re telling you it is.

This is exactly why I push back when people suggest AI can replace a fractional CMO. The hype says it can. The reality says otherwise.

5. Depth Beats Width. Every Single Time.

The person who has spent six months learning how to use one AI tool effectively for their work will outperform the person who has tried fifteen tools superficially. Every time.

Depth builds intuition. You learn what the tool is good at, where it falls short, how to work around its limitations, and how to get genuinely great output from it. You can’t get that from skimming a “Top 10 AI Tools” thread.

Think of it like this: a chef who has mastered one good knife will always cook better than someone with a drawer full of gadgets they barely know how to use.

The Bottom Line

The AI landscape will keep evolving. New models will launch. New tools will appear. That’s fine. Let it happen in the background.

Your job isn’t to keep up with AI. Your job is to get your work done better. Pick your tool. Go deep. Solve your problems. And tune out the noise.

The people who are quietly getting great results with AI aren’t posting about it. They’re just… doing the work.