Tesla’s ambitious push toward fully autonomous driving is increasingly coming under pressure. The company’s Full Self Driving technology, long positioned as a core pillar of its future strategy, is now facing mounting regulatory scrutiny and technical challenges.
At the center of the debate is Tesla’s decision to rely exclusively on a camera-based system. While the company uses artificial intelligence to interpret visual data, critics argue that this approach has limitations, particularly in complex traffic situations or under poor visibility conditions.
Regulators are also intensifying their oversight. In the United States, authorities have expanded investigations into Tesla’s self-driving systems following multiple incidents, raising the possibility of stricter requirements or even recalls affecting millions of vehicles.
At the same time, competition is increasing. Other companies are pursuing alternative technological approaches that combine cameras with additional sensors such as lidar and radar, aiming to improve redundancy and reliability.
For Tesla, the implications are significant. Full Self Driving is not just a feature, but a key component of future business models, including autonomous ride services and robotaxis. Any delay or limitation in its deployment could impact the company’s long-term positioning.
The current situation highlights the complexity of achieving fully autonomous driving. Technological development, regulatory standards and safety expectations are evolving simultaneously, shaping both the pace and direction of progress.
SK