Sunday16 February 2025
lifeukr.net

Trump announced plans to invest $500 billion in artificial intelligence.

He claims that this will help create over 100,000 jobs in the United States.
Трамп заявил о намерении инвестировать 500 миллиардов долларов в искусственный интеллект.

US President Donald Trump announced on Tuesday, January 21, a private sector investment to fund new artificial intelligence infrastructure, potentially amounting to $500 billion.

This was reported by Reuters.

Trump stated that the developer of ChatGPT, OpenAI, along with SoftBank and Oracle, plans to launch a project called Stargate.

The announcement was made during a briefing at the White House, attended by leaders of the technology companies involved in the project – Larry Ellison from Oracle, Sam Altman from OpenAI, and Masayoshi Son, head of the Japanese holding SoftBank. Initially, they will jointly invest $100 billion into the new company. Trump referred to Stargate as the largest AI project in history, showcasing America's immense potential. According to him, the project will create at least 100,000 jobs, and data processing centers will be built across the country. Authorities have already begun exploring potential sites for them. It has been reported that the first data center is already under construction in Texas. OpenAI (the creator of ChatGPT) had previously called for significant investments in infrastructure for AI development and emphasized the need for government support. "I believe this will be the most significant project of this era," said OpenAI's CEO Sam Altman, adding that nothing would have materialized without Trump.

Oracle's shares surged by 7% following the initial announcement of the project.

Background. It is worth noting that at the economic forum in Davos, one of the main topics was the implementation of artificial intelligence. Experts believe that only 74% of companies are attempting to scale AI implementation. The main obstacles are a lack of adequate infrastructure, a shortage of skilled workforce, and poor data quality.