Kazakhtelecom CEO Bagdat Musin shared his vision for the future of the national telecom operator in a public speech. According to him, the company intends to move away from the classic telecom model and become the core infrastructure for the development of artificial intelligence in Kazakhstan.
What happened
The main infrastructure step announced by Musin is the construction of data centers with graphics processing units (GPUs) for computing. The idea is to use available electricity and become a computing platform for the state and business. Exact timelines, locations, and investment volumes have not yet been disclosed.
The stated approach to working with the IT market has also changed. As the head of the company noted, the operator plans to abandon direct venture investments in startups. Instead, a distribution model (revenue share) is proposed: independent teams will be able to integrate their AI products into Kazakhtelecom’s infrastructure and sell them to its corporate base. At the same time, Musin advised startups to focus on traditional industries for Kazakhstan: subsoil use and agriculture.
A new vector has also been announced within the company. Musin is promoting the concept of “vibecoding”—creating working IT products using neural networks without classic programming skills. As the CEO stated, proficiency in AI tools is becoming a mandatory requirement for office hiring. In addition, according to Musin, internal courses on prompt engineering have already been launched for current employees.
Country and market
Kazakhtelecom is the largest telecom operator in Kazakhstan. If the company truly rebuilds its internal processes for AI and opens access to its computing power, it could accelerate automation in related industries.
Why it matters
The public rejection of venture capital in favor of partner sales looks like a pragmatic step. An important detail: so far, revenue share has only been voiced as an intention, but if the mechanism actually works, it will show the readiness of corporations to share their sales market without taking on venture risks. For local fintech and IT teams, this is a potential sales channel if their product solves applied business problems.
What’s next
Now the market has to see how public statements will turn into approved corporate documents. The main markers are the allocation of a budget for the construction of GPU data centers, the launch of an official portal or the first pilots using the revenue share model, as well as the formal consolidation of AI skills in the company’s HR policy.