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 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.
From July 6 to July 10, 2026, the global economy will be in the spotlight due to a series of significant events and publications. Among the key indicators, the Non-Farm Business Activity Index in the US (PMI) will provide insights into the current economic state. The FOMC protocol will play a crucial role in determining the future monetary policy of the US. Additionally, the NATO summit will take place during this period, potentially impacting the geopolitical landscape. Furthermore, data on inflation in China, Germany, and Russia are expected with keen interest, as they could influence currency exchange rates and stock markets. On a corporate level, reports from giants like PepsiCo, TCS, and Delta will be released, giving investors the opportunity to assess their financial health and develop future investment strategies. These events make this week significant and eventful for both policymakers and investors worldwide.
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.