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.
From July 13 to 17, 2026, the financial world anticipates a series of key economic events that may significantly impact global markets. Notably, the U.S. corporate earnings season will attract investors' attention to the results of giants like JPMorgan Chase and Goldman Sachs. The inflation data (CPI and PPI) in the U.S. will be scrutinized for hints about the country's economic status. Equally important are the GDP figures from China, which will provide insight into the growth pace of the world's second-largest economy. The OPEC report sheds light on future steps in oil production, which could influence global energy markets. These and other events of the week are discussed in our detailed overview, designed to help investors and analysts make informed decisions.
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.