In the United States, particularly in major cities such as San Francisco, Los Angeles, Phoenix, and Atlanta, the adoption of autonomous vehicles has accelerated, with customers increasingly utilizing them for daily transportation, including sending their children to school. Companies like Waymo, Tesla, and Zoox have expanded their offerings, making the once sci-fi idea of self-driving cars a normal part of life. In a recent interview, Uber CEO Dara Khosrowshahi discussed how these advancements could lead to a future where robots handle the majority of rideshare trips within 15 to 20 years. Khosrowshahi expressed concerns regarding the impact of AI on employment, suggesting that business leaders should actively consider the looming wave of job displacement caused by automation. He mentioned that a significant percentage of jobs, including those traditionally held by white-collar workers, could be at risk. He referred to past predictions by industry experts about the potential for rapid job automation, emphasizing that societal adjustments must occur quickly in response to the advancements in AI technology. Uber is currently expanding its efforts to transform the ride-share experience with the launch of Uber Autonomous Solutions, which aims to commercialize robotaxis globally. The company recognizes that to build a successful autonomous vehicle fleet, it must address various challenges, including regulatory processes, vehicle development, and sensor technology. Despite the focus on automation, Khosrowshahi reassured that Uber expects to grow its driver and courier numbers in the immediate future while simultaneously looking to diversify the work that contractors can do. While AI has the potential to streamline tasks and enhance productivity, Khosrowshahi highlighted the urgency for leaders to consider retraining programs that support workers displaced by technology. He outlined the concept of the 'AI Time Dividend,' where AI could theoretically allow employees to save work hours, which could then be redirected to improve business outcomes. However, actual evidence suggests that while AI has saved employees a considerable amount of time, those extra hours have not always been effectively utilized for productive purposes.