Without data centers, it’s impossible to compete with U.S. actors.

Without diversity. The accumulation of the AI ecosystem continues. The data center is the brain of the AI ecosystem. Without those centers, the ICT ecosystem cannot respond to the need. 

Data centers are required to guarantee diversity in the ICT ecosystem. Without data centers, we have no diversity. Our ability to choose service providers is limited. If the service provider cannot offer their services. Those services require platforms that can run them. So, that means that the data and data services start to accumulate. Into a few hands. Or. This ongoing process continues. Without data centers. There are no competitors. For big companies like Google and Apple. The competitors. Require infrastructure. That supports systems. Those are suitable. To operate and process. Large data masses.  

So, do we need more data centers? Fact. It is that. We need choices. When Apple denied access to its Vibe coding software, people must realize how much power those companies have. Big actors. In the ICT business. They can select their own customers. And that can give an advantage. For actors. With access. To those encoding software tools. This means that without choices, the power of big actors rises to the next level. The ability to select who can use the effective programming tools. And who can not use those tools gives access to other companies' products. 

What does this thing mean? Without choices, the AI markets are starting to concentrate in a few hands. And that gives. A very big power in their hands. The AI is a powerful tool in the hands of people who can and dare to use it. The professional program and application development require effective tools. The AI can make routine programming without any problems. And that means the use of effective. AI gives a very powerful advance for system development. By using remote-control applications, a single. A qualified programmer can operate even tens of independent AI agents. The AI can sniff errors very fast. And that makes R&D work more effective. 

And AI is the tool that allows 24/7 program development. The company can share its crew into morning, day, evening, and night shifts. This makes the R&D process very fast. This means that those people who operate AI chatbots in those cases can work like in all other workplaces. They can make code in three shifts. Because the AI can operate quite independently. So, who is a more effective worker: a human or an AI? The answer is simple: Who makes fewer mistakes in time units and code lines is the one who is more effective. 

People say that about 10% of the answers that AI gives are wrong. That means 90% of the answers are right. The fact is that the AI can reach. This accuracy 24/365. The AI never tired. The question is, can an average-level programmer reach an accuracy level 90 % all the time? So, what happens to workplaces? The thing is that the AI is not as effective an actor as people thought. In the same way. As the AI Internet took workplaces from people. At the dawn of the Internet. People said that. Traditional things like cash money, paper letters. And other things like that were more trusted and accurate. But the Internet stabbed those things. 

When people started to use the internet. It turned more valuable, more secure. And more effective. The next big step was the cloud-based platforms.  Those cloud-based applications outsourced the need for computing power to servers and finally to data centers. Previously, those data centers acted as servers. But then the large language models, LLM, started to run on those servers. The LLM or algorithms. Require. Lots of calculation capacity. Those systems require the ability to run. A lot of data. Through the processors. The data mass that the system must handle is exponential. To the data mass that traditional cloud services must handle. 

And the problem is that the good service needs users. Without users. There is no way to run those things. Those users bring money and data to train those applications. Without data, the AI is helpless. Without data centers, the actor cannot run the complex algorithm. And without algorithms, there are no customers. The requirement for the ICT services is that they can respond to the need. Without that ability, nobody selects an application. 

We need diversity for ICT ecosystems. Without data centers, there is no diversity. And if there is no diversity, we can be sure that the software industry. Continues to be dominated by a couple of actors. The lack of choices and diversity means. That people must. In the future. Still choose well-known actors as service providers. People and companies must take what is offered. If there is only one or two service or application providers. People must select from those actors. And this is one thing that we must realize.