What are you looking for:
Economy. Investments. IPO
Sergey Tereshkin's Blog
Blog
With the development of artificial intelligence technologies, the world is facing a new environmental issue – the energy consumption of neural networks. Neural networks require significant computational power, which means they consume vast amounts of electricity and water for cooling servers in data centers. This resource utilization negatively impacts the environment, increasing the carbon footprint of technologies. This article explores the consequences of artificial intelligence on the ecology and examines the investment risks it poses. It is crucial to understand the scale of the problem and ways to minimize harm, which can be part of the ESG strategies of many companies.
Media
The State Duma of the Russian Federation has approved new amendments aimed at stimulating the development of the fuel market in Russia. These measures are designed to support domestic producers, reduce prices, and ensure stable supplies. More details about the key changes can be found in our material.
News and publications
The world of cryptocurrency continues to amaze with its dynamism and changes. News as of July 7, 2026, highlights that Bitcoin maintains its position amid massive market changes triggered by strategic sales from MicroStrategy and their impact on the stock exchanges. Despite this shock, Bitcoin and Ethereum ETFs have seen a significant inflow of capital, indicating a growing interest from institutional investors in cryptocurrencies. Market participants are increasingly focusing on stablecoins like USDT and USDC, due to stringent regulations and a rising level of trust among users. This combination of events promises an exciting summer for all involved in the world of digital assets. Our comprehensive immersion into current trends and strategies will help investors make confident strides into the future of cryptocurrency investments.
Media
News and publications
Video
In this episode, Sergey Tereshkin and investor Andrey Rezinkin analyze AI startups: how to choose promising projects and make money from investments in AI. They discuss real examples such as OpenAI, ChatGPT, voice recognition, and DepTech, as well as trends like AGI and lifestyle AI applications.