Economy. Investments. IPO
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.
The rise in fuel prices and its availability is becoming an increasingly pressing problem for businesses and the population. The phrase "Fuel takes from place to barrier" reflects the situation where high prices and fuel shortages create significant obstacles for the development and operation of enterprises. Let's explore what this expression means and how to cope with these challenges.
The fuel and energy complex (FEC) meets Thursday, August 6, 2026, awaiting a historic resolution: the USA, Iran, and Oman have come close to an interim agreement on the opening of the Strait of Hormuz, which has been closed since March. The oil market reacted swiftly — Brent prices lost about 10% over the week and are balancing near $80 per barrel, as the geopolitical premium that had supported prices for months is rapidly fading. Simultaneously, OPEC+ is completing the return of voluntarily reduced production volumes, Europe is urgently filling gas storage against a backdrop of LNG shortages, and Russia is extending its ban on gasoline exports until 2027. Below is a detailed overview of key events in the oil and gas sector, electricity, the coal market, and renewable energy sources for investors and participants in the global energy market.
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.