xAI co-founder Jimmy Ba announced he left Elon Musk’s company on February 10th.

“It’s time for me to readjust my perspective on the big picture. 2026 will be a crazy year and potentially the busiest (and most important) year for the future of humankind,” he wrote on X.

Jimmy Ba reported directly to Elon Musk. He was primarily responsible for operations until late last year, when some of the work was divided between the other two co-founders, Tony Wu and Guodong Zhang.

Jimmy Ba is the second co-founder to leave the company in less than 48 hours. Wu announced his resignation, leaving the artificial intelligence startup on the evening of February 9th. Wu’s Slack account was deactivated just before the announcement.

Before Mr. Wu left, xAI underwent a restructuring, and some of his responsibilities were transferred to Mr. Zhang.

Elon Musk founded the artificial intelligence company xAI in 2023 with 11 other co-founders. To date, six have left the company, with five expected to resign in 2025.

Elon Musk once stated that he built xAI as an alternative to chatbots like OpenAI’s ChatGPT. Over the past year, xAI has been embroiled in a series of controversies. Last July, xAI launched a sexually suggestive digital avatar named “Ani.” The chatbot Grok also made anti-Semitic remarks. Most recently, xAI faced intense criticism after Grok began creating sexually suggestive images without the consent of the real people involved.

Last week, Elon Musk announced that xAI would merge with his company SpaceX. The company is reportedly preparing for an initial public offering (IPO) this year, with SpaceX potentially valued at $1.5 trillion.

CEO Elon Musk makes a chilling prediction about the “end” of AI.

In just over three years, AI has developed at a breakneck pace. From its early, rudimentary forms like ChatGPT, this technology has now become a potentially dominant force in the global economy.

What previously could only answer questions or write text, AI can now create videos with terrifying realism and is increasingly approaching the point of surpassing human capabilities. However, according to one of the most influential figures in the tech world, AI is about to face a major hurdle.

CEO Elon Musk is known for his bold predictions. While he’s not always right, Musk’s statements often shape how the tech industry views the future in the short term.

His latest prediction could be landmark for AI. While the technology is booming globally, its growth could soon slow down if a core problem isn’t addressed in the way Musk proposes.

Speaking on the Dwarkesh podcast, Musk argued that humanity is very close to the “end” of AI if the energy problem is not solved. According to him, the only way to overcome this limitation is to send AI operations into space.

“My prediction is that the cheapest place to deploy AI, far superior to all other options, will be space within 36 months or even less than 30 months,” Musk said, emphasizing, “Remember my word.”

Similar theories have been raised by figures like Jeff Bezos, but Musk’s statement further reinforces his belief that this is the only way for AI to continue expanding.

In theory, sending AI data centers into space could help alleviate serious environmental concerns, as current data centers consume enormous amounts of electricity and put significant pressure on Earth’s ecosystems. However, it remains unclear whether this solution would truly solve the problem completely.

According to Musk, the key lies in the limitations of expanding electricity sources on Earth. Harnessing solar energy directly from space would open up almost unlimited growth potential for AI.

“The entire United States currently consumes only about half a terawatt of electricity on average. Just imagine how difficult it would be to build enough power plants to double that number. Many people don’t realize this,” Musk explained.

“Solar panels are now very cheap, around 25-30 cents per watt in China. If placed in space, the cost-effectiveness would be about 10 times cheaper because there would be no need for storage batteries,” he added.

While a 30-36 month timeframe might seem too short to realize such an ambitious plan, given the enormous amount of money and resources being poured into AI, this scenario is possible if technically feasible. It’s quite possible that a major turning point for the AI ​​industry will come much sooner than we imagine.