Uber may be known globally as a ride-hailing and food delivery platform, but inside the company, it operates like a massive software engine. And now, that engine includes an unusual addition: an Uber AI chatbot CEO built by its own engineers.

Speaking on The Diary of a CEO podcast hosted by Steven Bartlett, Uber CEO Dara Khosrowshahi revealed that some teams have developed a chatbot modeled after him. The tool allows employees to rehearse presentations before pitching ideas directly to leadership.

The concept is simple. Teams present their slide decks to the AI version first. The chatbot simulates how Khosrowshahi might respond, helping employees refine messaging before actual executive meetings.

How the Uber AI Chatbot CEO Works

According to Khosrowshahi, the internal AI tool serves as a rehearsal mechanism. By the time a proposal reaches him, it has already been “beautifully honed” through multiple preparation sessions — including practice runs with the AI model.

The Uber AI chatbot CEO demonstrates how enterprise AI adoption engineering teams are embedding artificial intelligence into daily workflows. Rather than treating AI as a standalone feature, Uber’s engineers are using it as a structural productivity enhancer.

Business Insider previously reported details about the internal chatbot initiative, underscoring how deeply AI has been integrated into Uber’s engineering culture.

Enterprise AI Adoption Engineering Teams at Scale

Khosrowshahi shared that roughly 90% of Uber’s software engineers now use AI tools in their work. Around 30% qualify as “power users,” significantly reshaping how systems are designed and built.

This level of enterprise AI adoption engineering teams reflects a broader shift across the technology industry. Research firm Gartner, widely recognized for enterprise technology analysis, has described AI integration as critical infrastructure for modern enterprises seeking long-term competitiveness.

At Uber, engineers are not only writing code but rethinking system architecture itself. Khosrowshahi described them as both the “brick makers” of the platform and the architects shaping its future.

AI Productivity Software Engineers Driving Change

The emergence of the Uber AI chatbot CEO aligns with a larger pattern: AI productivity software engineers are leveraging generative tools to enhance efficiency, collaboration and design thinking.

Khosrowshahi noted that the productivity gains are unlike anything he has seen before. AI tools are accelerating coding workflows, refining presentations and helping teams iterate faster.

This evolution suggests that enterprise AI adoption engineering teams are moving beyond experimental use cases toward foundational workflow transformation. Instead of replacing leadership, the AI chatbot acts as a performance amplifier for teams preparing high-level decisions.

AI as Cultural Infrastructure

The Uber AI chatbot CEO also highlights a cultural shift in enterprise AI adoption engineering teams. Rather than treating artificial intelligence as an external tool, engineers are integrating it into internal processes, decision-making simulations and strategic preparation.

As AI productivity software engineers continue to refine their use of generative models, companies like Uber may serve as a case study for how enterprise AI adoption engineering teams can balance automation with human oversight.

The takeaway is clear: AI is not replacing executives. It is reshaping how teams prepare, collaborate and execute — and in Uber’s case, even how they prepare to present to the CEO.