Robotaxis & the Future of Work: Will AI Replace Uber Drivers?

Uber CEO Dara Khosrowshahi predicts a future where robotaxis dominate the rideshare landscape, potentially fulfilling the majority of trips within the next 15 to 20 years. While acknowledging the significant hurdles to widespread adoption, Khosrowshahi’s vision signals a profound shift in the transportation sector and raises critical questions about the future of work for the millions of drivers currently employed by the company.

Since its launch in 2009, Uber has fundamentally reshaped the gig economy, connecting over 9.5 million contractors globally with passengers. However, the increasing availability of autonomous vehicles in cities like San Francisco, Los Angeles, Phoenix, and Atlanta is already beginning to disrupt this model. Companies like Waymo, Tesla, and Zoox are actively expanding their robotaxi services, and even everyday scenarios, such as parents sending their children to school in driverless cars, are becoming increasingly common.

The transition won’t be immediate. Khosrowshahi emphasized the complexities of scaling a driverless car fleet, stating, “We don’t operate in the virtual world, we operate in the physical world.” He highlighted the need for regulatory approval, vehicle development, and advancements in sensor technology and AI models. Uber is responding by launching Uber Autonomous Solutions, a new division dedicated to commercializing robotaxis worldwide, focusing on infrastructure, user experience, and fleet operations.

A 2025 report by Goldman Sachs forecasts a substantial increase in the number of robotaxis in the U.S., growing from 1,500 to approximately 35,000 by 2030. This represents an 8% share of the U.S. Rideshare market, a nearly 90% compound annual growth rate. However, Khosrowshahi envisions a much larger future, suggesting that ultimately 20 million robotaxis could comprise the entire rideshare market.

The impact on Uber’s existing driver base is a central concern. While the company maintains that the number of drivers and couriers on its platform is expected to continue growing for several years, the long-term implications are undeniable. Khosrowshahi acknowledges that AI has the potential to replace work currently performed by 70-80% of the population within the next decade, a timeframe he describes as “not a lot of time for society to adjust.”

Uber is proactively attempting to mitigate the potential displacement of drivers by diversifying the opportunities available through its platform. Beyond ridesharing, the company is expanding into delivery and shopping services, areas Khosrowshahi believes will be less susceptible to immediate automation. Uber has launched an AI Solutions initiative, allowing contractors to earn additional income by training AI agents and models using their smartphones. This initiative includes tasks such as evaluating AI responses, translation, and content review.

However, the broader societal implications of widespread automation remain a significant challenge. Khosrowshahi believes that the issue will become increasingly pressing in the next five to ten years, requiring business leaders and policymakers to address the need for retraining and adaptation in the workforce.

The rise of robotaxis isn’t occurring in isolation. Microsoft’s AI chief, Mustafa Suleyman, has even predicted that all white-collar work could be replaced by automation within a year, highlighting the pervasive nature of AI’s potential impact across various industries. This broader trend underscores the urgency of preparing for a future where human labor is increasingly augmented or replaced by intelligent machines.

While the exact timeline remains uncertain, the trajectory is clear: autonomous vehicles are poised to play an increasingly prominent role in the future of transportation. Uber’s strategic investments and Khosrowshahi’s candid assessment signal a willingness to embrace this transformation, even as the company grapples with the complex challenges it presents for its workforce and the broader economy.