Artificial intelligence is making it possible for individuals and businesses to create things that once required an entire production team.

But there's a catch.

The tools may be increasingly accessible. Using all of them isn't necessarily inexpensive.

Today's content creator or business isn't simply buying one piece of software and using it for the next five years. We're building—and constantly rebuilding—a technology stack.

Professional editing software. Photography tools. Stock photography and video. Website platforms. Graphic design. Cloud storage. AI voice generation. Avatars. Digital clones. Digital twins. Generative images and video.

Each tool might solve a different problem.

And each one may come with another subscription.

Welcome to the subscription and credit economy.

We're All Becoming Media Companies

I often tell clients that virtually every business today is, to some degree, in the media business.

A large corporation might have an entire communications department with professional photographers, videographers, designers, writers, editors, and social media teams.

A small business might have one person doing all of it.

An individual creator might be doing everything from a laptop and smartphone.

But the objective is increasingly similar: create content, communicate with an audience, and do it consistently.

In many ways, we're all operating our own studios.

Some are extremely well-funded.

Others are operating on a shoestring budget.

AI has dramatically expanded what those smaller studios can accomplish. But as our capabilities grow, so does the number of tools competing for a place in our workflow.

The Best Technology Isn't Always the Technology You Should Use

This is something I've been learning firsthand with AI avatars, digital clones, and digital twins.

You might find a platform that creates an exceptionally realistic digital representation of yourself—or someone you're producing content for.

The quality may be outstanding.

But using that technology exclusively may also become expensive, particularly when the platform operates on a credit system.

That creates an interesting decision.

Do you need the highest-quality avatar for every video?

Maybe not.

There may be situations where realism is extremely important. If the intention is for viewers to perceive the digital representation as closely resembling the actual person—or you're integrating several people into a digital studio—the more sophisticated technology may be worth the additional cost.

In other situations, a less expensive digital twin may accomplish exactly what you need.

The question isn't always:

Which technology is best?

Sometimes the better question is:

Which technology is best for this particular job?

That's where managing an AI stack starts becoming as much about judgment as technology.

Sometimes the Best Avatar Is the Actual Person

There's also another option.

Put the real person in front of the camera.

Of course, real people aren't always polished presenters.

We say "uh."

We say "you know."

We pause.

We repeat ourselves.

We lose our train of thought.

Traditional video editing software such as Final Cut Pro or Adobe Premiere Pro can clean much of that up, but editing takes time.

And time has a cost too.

So now we have another calculation.

Is it more efficient to record the person and spend time editing the footage?

Or is it more efficient to write a polished script and have a digital clone or avatar deliver it?

One approach consumes your time.

The other may consume your AI credits.

Neither is automatically right or wrong.

The answer depends on the project.

The Cost Nobody Talks About: Experimentation

For individuals trying to develop their skills while the technology itself is rapidly evolving, there's another important expense: experimentation.

You often don't know which technology belongs in your workflow until you've actually used it.

That might mean subscribing to one avatar platform.

Trying another.

Testing an AI voice service.

Experimenting with image generation.

Adding an AI video tool.

Then discovering that another application you already subscribe to has introduced a similar capability.

You subscribe.

You experiment.

You compare.

You cancel.

You keep what works.

That's increasingly part of working with AI.

For most individuals and small businesses, however, experimentation has to happen within a budget.

You can't subscribe to everything.

And you probably shouldn't.

Your Technology Stack Should Constantly Evolve

The good news is that the economics of these technologies are likely to continue changing.

What is expensive today may become commonplace tomorrow.

Capabilities that currently require specialized AI platforms may eventually become standard features inside applications we already use.

We're already seeing this happen.

Technologies that once required separate applications are increasingly being incorporated into larger creative platforms. As competition increases and computing technology improves, some capabilities may become less expensive while others may move toward different pricing models.

That's why I don't think of my technology stack as something I build once.

It's constantly evolving.

I'm experimenting.

I'm learning.

I'm watching the technology improve.

I'm evaluating costs.

And I'm deciding which tools deserve a permanent place in my workflow.

The Goal Isn't to Have the Biggest Stack

There's a temptation when working with emerging technology to believe you need every new tool.

You don't.

The goal isn't to build the biggest technology stack.

It's to build the most relevant and efficient stack for the work you're trying to accomplish.

Sometimes that means using the newest AI technology.

Sometimes it means using software you've relied on for years.

Sometimes it means putting a real person in front of a camera.

And sometimes it means combining all three.

The skill increasingly lies in knowing the difference.

As AI continues to evolve, I believe managing the economics of these tools will become almost as important as learning how to use them.

For individuals, creators, and businesses, that means continuously balancing quality, time, cost, and results.

Which technology gives you the quality you need?

Which saves you meaningful time?

Which deserves your subscription?

When should you spend the credits?

And when is the old-fashioned way still the better way?

Those answers will continue to change as the technology changes.

That's part of the journey.

The objective is to keep experimenting, keep learning, and continue refining a technology stack that helps you work more efficiently while ultimately serving the people who matter most—your audience and your customers.

These are my observations from navigating that process myself.

We welcome your thoughts.