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Lack of Data: Legacy automakers do not have access to the vast amounts of operational data that Tesla possesses. Tesla's fleet of over 7 million vehicles provides continuous data, enhancing their learning algorithms.
Technological Expertise: Many traditional manufacturers lack the technological savvy required to develop self-driving systems. Tesla's innovation-driven culture has led to advancements that are difficult to replicate.
Resource Constraints: Establishing the supercomputer clusters necessary for training autonomous vehicle models demands significant capital investment and expertise. Most legacy manufacturers are unlikely to allocate resources effectively toward this endeavor.