Companies Have Started Moving Away from AI

Of course, this is a joke title. It exists to grab your attention. I hope the text itself will turn out to be no less interesting than the headline.

My dear reader,

In recent years, the market has operated under a fairly rigid paradigm:

AI will replace some people, companies will reduce teams, costs will decrease, efficiency will grow.

For business, this was presented as rational optimization. For people, it sounded quite different.

But reality, as it often happens, turned out to be more complex than loud forecasts.

Today, more and more companies are facing a new problem:

The cost of using AI in certain scenarios has already started to exceed the cost of employees.

This is not just about ChatGPT subscriptions.

This includes:

• API and inference,
• GPU and infrastructure,
• endless regenerations,
• poorly formulated requests,
• fixing low-quality results,
• team time lost working with AI instead of working on the task.

The market is beginning to understand something important:

AI by itself doesn't make processes cheaper. Only smart use of AI does.

Companies are increasingly optimizing not people.

They are optimizing AI usage.

Because implementing AI everywhere turned out to be not enough. Now it needs to be implemented in a way that actually pays off.

Before, it was enough just to use AI. Now that's not enough.

Value goes to the specialist who knows how to:

• properly decompose a task,
• formulate prompts correctly,
• get quality results in a minimum number of iterations,
• understand the limitations of the model,
• understand when AI is not needed at all.

Because for business, this is no longer a question of convenience.

It is a question of direct economics.

A person who solves a task with one precise request is more valuable than someone who makes ten chaotic generations and then spends another hour correcting the result manually.

AI does not cancel the need for people. But it changes the requirements for them.

Now it's no longer enough to simply "know how to use neural networks".

You need to know how to:

Use AI effectively, structurally, and economically.

Because the market is gradually coming to a simple idea:

What matters is not whether you use AI. What matters is how effectively you know how to work with it.

Learn to write prompts correctly. Learn to think structurally. Learn to use AI as a tool, not a toy.

Because very soon this will become the same basic professional skill as once knowing how to use a search engine or IDE.

Context: even representatives of the industry are already publicly noting that in certain scenarios, the cost of AI compute can exceed the cost of employees. Source: Nvidia exec says AI is more expensive than actual workers, Tom's Hardware.