Elon Musk Announces Full Self-Driving Launch in the UAE
Elon Musk, the CEO of Tesla, recently revealed that Full Self-Driving (Supervised) could be making its debut in the United Arab Emirates (UAE) as early as January 2026. This development would mark the beginning of FSD’s expansion into the Middle East, starting with the UAE.
Musk’s Timeline for FSD
During a conversation on X, a platform for discussions, UAE-based political analyst Ahmed Sharif Al Amiri inquired about the arrival of FSD in the country. Musk responded by stating, “Hopefully, next month.” This exchange generated significant interest among X users, who eagerly anticipate the introduction of FSD in the UAE. The technology is expected to enable hands-off highway driving, urban navigation, and parking under driver supervision in bustling cities like Dubai and Abu Dhabi.
Musk’s remarks about FSD’s potential launch in the UAE followed his recent visit to the country. Images circulated online showing Musk meeting with UAE Defense Minister, Deputy Prime Minister, and Dubai Crown Prince HH Sheikh Hamdan bin Mohammed. Musk also expressed his admiration for the UAE by posting “UAE rocks!” on X.
Recognition for FSD
Foreign media outlets have been praising FSD (Supervised) for its impressive capabilities. Germany’s largest car magazine, Auto Bild, conducted a test of FSD in Berlin’s challenging urban environment and gave it high marks. The system demonstrated exceptional performance in handling dense traffic, construction zones, pedestrian crossings, and narrow streets with confident decision-making.
Journalist Robin Hornig was particularly impressed by FSD’s advanced perception and unwavering attention to detail. He noted, “Tesla FSD Supervised sees more than I do. It doesn’t get distracted and never gets tired.” Hornig acknowledged that while he considers himself a good driver, he cannot match the system’s comprehensive vision. The test only required one intervention when the system misinterpreted a route, showcasing its maturity and reliance on vision-based sensors and continuous learning through over-the-air updates.