Elon Musk just reposted the Ark Invest big ideas video below for robo-taxi.

Elon Musk just reposted the Ark Invest big ideas video below for robo-taxi.


  1. Robotsaxi’s Potential:
  • Robotaxi is expected to generate approximately $28 trillion in enterprise value by 2030.
  • While the cost of personal mobility has not changed much over the past century, Robotsaxi is much cheaper than current private cars and taxis as it can reduce costs to 25 cents per mile.
  • Self-driving taxi services are safer and more cost-effective than human-driving cars.
  1. The current status of the robotaxi:
  • Robotaxi is already in operation, with more than 2 million operations per year and in more than 20 cities worldwide.
  • Companies such as Waymo and Tesla are the main players, and Tesla is collecting extensive driving data to improve autonomous systems.
  1. Safety and Efficiency:
  • Self-driving cars have proven safer than human-driven cars, and Tesla’s fully self-driving mode is five times safer.
  • Autonomous vehicles will accelerate the transition to electric vehicles, reducing emissions and saving lives.
  1. Impact of AI and Data:
  • It has contributed significantly to recent AI advances, e.g., large language models, and autonomous driving technologies.
  • The data collected from autonomous driving is critical for training and improving these systems.
  1. Market opportunities:
  • Robotaxi’s total addressing market is estimated at $11 trillion, much larger than the current ride-hailing market.
  • Early adopters and fast-expanding companies will benefit the most because they can benefit from the initial high price point.
  1. Economic impact:
  • The rise of autonomous vehicles could disrupt the traditional car loan market, especially for gasoline vehicles.
  • By 2030, the enterprise value of companies operating robo-taxi services could reach $28 trillion, far exceeding the current auto manufacturer industry.

Conclusion:
The future of robo-taxi involves significant market integration, and companies participating in the automotive supply chain must lead or adapt to autonomous technologies.

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