A Beginner's Guide to AI
AI Needs Electricians More Than Coders - Sergii Gerasymovych Tells You Why
10 Jun 2026
Transcript generated automatically by AI and may contain errors.
Chapter 1: How did Sergii Gerasymovych transition from linguistics to AI infrastructure?
It's easier to get a doctor's appointment than getting an electrician appointment nowadays. The data centers were big buildings that used a little bit of power. Right now, the data centers are small buildings that use a lot of power.
So I think in the next two to three, five years, we're going to start finally seeing serious adoption of AI and the whole world basically changing the way they work, the way they study, the way they leave. I mean, if you have a phone, you are an AI data center user.
Chapter 2: Why are data centers crucial for the AI boom?
Yeah, we have interesting talk today about basically about data centers, which is the base level of all IUs. So we talked to Sergei Gerasimovich and he is really good at explaining this topic. I was afraid to drown because, yeah, it's tech and I'm an economist myself. So to all the people on YouTube, you say, oh, this guy, he doesn't do anything.
Chapter 3: What role do neoclouds play in AI infrastructure?
No, I don't know anything about tech. This is why I asked Sergei so many things and he has great answers. So people stay tuned and learn something, how AI basics work, what's in the ground there.
Chapter 4: How does power and land impact AI data centers?
yeah welcome to another episode of the beginner's guide to AI it's Dietmar from Argo Berlin at the microphone again don't forget to beginnersguide.nl to get the newsletter and everything every episodes and sometimes tips and tricks from me directly in your mailbox also go to AI for the 99% where I sometimes post a nice idea
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Chapter 5: What factors contribute to finding locations for data centers?
But before I talk too much here, let's just give the microphone to Sergej. So I can talk a lot about Sergi, but the best is he tells you something about himself. But first of all, Sergi, welcome to the podcast.
Thank you very much for having me. It's an honor to be talking to you and looking forward to this episode.
Chapter 6: Why are electricians and engineers considered bottlenecks in AI infrastructure?
Yeah, great. So actually you started with crypto, but then you went to AI. What's so special? What did interest you about AI or where did you think?
Chapter 7: What is the difference between training and inference data centers?
I mean, from background, you're a linguist, so it's totally far, far away from what you do. But how did you come there? What was your reason to go in this direction?
Yeah, it's a very good question. I think speaking of the linguistics, so I did attend to the university in Kiev in Ukraine for foreign languages. I studied English and French, and I think that experience gave me an opportunity to explore the world and think about my further boundaries. But I always wanted to be an entrepreneur in my life.
And my first company that I started was actually a linguistic consulting services company for where we worked with multiple companies to do translation and localization of their products. So we worked with engineering firms, we worked with manufacturing companies and energy companies. And when we started working with energy companies, I got very excited about energy and technology and the energy.
Chapter 8: How does AI influence leadership decisions and risk management?
That's something kind of drove me much. And that was becoming my kind of driver, but I didn't know how I'm going to get myself into it. So crypto came in in 2016, 2017, and I found myself on the ground level of crypto mining, where we built data centers for crypto miners, and we have been a data center operator. So I have had...
kind of my dream come true where I wasn't able to build energy projects, which I had no idea about them anything. But at the same time, we were part of a technological progress. So now there's a big shift into AI data center world. And AI requires a lot of energy and power to keep those machines running and keep that intelligence producing.
And it is very similar type of business that crypto mining is. It's very similar from perspective of running a data center, owning power infrastructure, and doing operation inside that box, technically.
But I still think about, okay, you as more like it's social science or something. And then you say, okay, we built a data center. How do you start with such a thing?
Yeah, well, it started by an accident, to be honest. Being an interpreter of foreign languages allows you to be an expert in everything because you work with different industries. So you have to study everything, right? And it's like being a lawyer. You have to be able to apply law to different industries. And your mind is consistently spinning.
I got into cryptocurrency mining by accident completely. First of all, I moved to America when I was 20 and I came here for American Dream. The goal was to start a business and... That's how we started the first translation localization agency. But then I didn't see that project being a success, and I moved to try to do other things.
And we were in trade business and import and export, and we basically started selling GPUs, which are very popular nowadays, graphic processing units, computers, to different customers. And that's how I learned about the compute in general. For me, it didn't really matter what to sell and what to deliver as long as there was a market for it.
And I quickly saw there is a huge market for graphic processing units for computers in 2016, end of 2016, early 2017. And that's how I learned that this is used for cryptocurrency mining, which at that time was... Very wild thing. And it became a really quick business, to be honest. I started buying, selling compute.
And then the customers who bought all those GPUs, they didn't know how to put those GPUs to work in the garages. So they basically started calling me back and telling me, take them back and just put them somewhere else. So we found ourselves technically having free customers. And we said, okay, I'm going to try to do it. I mean, research, finding the way how to do it.
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