Uber engineers built an AI version of their boss

Engineers at Uber have created an AI-powered chatbot modeled after their CEO, Dara Khosrowshahi, to help them prepare for executive meetings. While many people see Uber primarily as a transportation and food delivery platform, Khosrowshahi views the company as a massive technology ecosystem built and shaped by its engineers.

During a conversation on The Diary of a CEO hosted by Steven Bartlett, Khosrowshahi revealed that some teams developed what they call “Dara AI.” This internal chatbot is used to simulate executive feedback before formal presentations reach him. By testing their ideas and slide decks against the AI version first, teams can refine their messaging and anticipate potential questions in advance.

The initiative highlights how deeply AI tools are embedded within Uber’s engineering culture. According to Khosrowshahi, roughly 90% of the company’s software engineers actively use AI in their daily tasks, with about 30% leveraging these tools extensively to redesign and rethink system architecture.

He compared engineers to both builders and planners—constructing the foundational components of Uber’s systems while also shaping the broader technological vision. Khosrowshahi emphasized that AI adoption has dramatically enhanced productivity, describing the improvement as unlike anything he has witnessed before.

Voice Of Osiz

The move by Uber engineers to build an AI version of Dara Khosrowshahi reflects how deeply AI is reshaping enterprise culture and decision-making workflows. From a Voice of Osiz perspective, this signals a transition from AI as a support tool to AI as a strategic productivity multiplier embedded within leadership processes. When organizations simulate executive feedback using AI, they reduce iteration cycles and enhance clarity before ideas reach the top level. Such adoption demonstrates maturity in internal AI integration, where engineering teams are not just coding products but redesigning operational intelligence. It also highlights how generative AI can strengthen collaboration between technical teams and executive leadership. As AI usage scales across 90% of engineering teams, it reinforces the importance of secure, scalable AI architectures. This development underscores a broader shift toward AI-driven enterprises where innovation, efficiency, and decision precision move in sync.

Source: TechCrunch