My thoughts on AI

I’ve been working with AI more and more lately, and the only way I can describe it is this: it feels like magic.

From copywriting to code, and everything in between, the speed of execution has increased dramatically. Tasks that used to take days now take hours. Sometimes minutes. And that shift forces you to think deeper, not just about what AI can do today, but what it will mean long term.

I keep coming back to a few core ideas.

AI as a Superpower

First and foremost, AI is a superpower, if you know how to use it.

A single person today can operate at the level of a small team just a few years ago. You can go from idea → MVP → validation → iteration → product-market fit faster than ever before.

That process used to be expensive and time-consuming. Now it’s compressed.

But it’s not automatic.

AI is only as good as the input you give it. Knowing how to communicate with it, how to structure prompts, how to think clearly, how to iterate is becoming a core skill.

In many ways, “prompting” is just a proxy for thinking.

And if you do it right, something interesting happens: an AI subscription starts to feel like the only subscription you need.

Most tools we pay for today: design tools, writing tools, even parts of engineering stacks can increasingly be replicated or replaced with a well-crafted prompt.

Which raises a bigger question: What happens when AI gets so good that it understands you without needing detailed instructions?

The hidden reality: AI is still cheap (for now)

One thing that often gets overlooked is the cost of AI.

Right now, it feels incredibly cheap.

You can pay $20, $50, even $200 per month for access to models that dramatically increase your productivity. Compared to the value they generate, it’s almost irrationally underpriced.

But that’s not the full picture.

The reality is that AI is heavily subsidized, mostly by venture capital.

We are still in the phase where companies are optimizing for adoption, not profitability.

And that won’t last forever.

The inevitable shift: AI will get expensive

As AI models become more powerful, better reasoning, larger context windows, more memory, more autonomy the cost to run them will increase.

And so will the price.

Everyone will still have access to AI. There will always be free tiers and affordable options.

But the gap between “basic AI” and “top-tier AI” will widen significantly.

The best models, the fastest, smartest, most context-aware systems will come at a premium.

And that leads to a shift most people aren’t talking about enough.

The next differentiator: Access

If AI is a superpower, then access to the best AI becomes leverage.

We are moving toward a world where the difference between individuals, teams, and even companies may come down to the quality of AI they can afford.

Not just whether they use AI but which AI they use.

Who has access to:

• the best models
• the largest context windows
• the fastest inference
• the deepest integrations into workflows

That becomes the new edge.

In the same way that capital once determined who could build and scale, access to top-tier AI may become the next layer of advantage.

Final thought

We’re still early.

Right now, AI feels like a cheat code because in many ways, it is.

But like every powerful technology, the landscape will evolve:

• Costs will normalize
• Access will stratify
• And the real advantage will shift from “using AI” to “using it better and having access to the best version of it”

I believe that the people who understand this early won’t just move faster, they’ll operate on a completely different level.

P.S. I recently redesigned my website, would love to hear what you think.