At most companies, preparing for a high-stakes presentation to the chief executive involves rehearsing in front of colleagues, refining slide decks, and hoping for the best. At Uber Technologies, employees now have a different option: they can pitch their ideas to a digital replica of CEO Dara Khosrowshahi — one that interrupts, challenges assumptions, and pushes back with the kind of pointed questioning the real Khosrowshahi is known for.
The AI-powered CEO clone, built internally by Uber employees, represents one of the more unusual applications of generative artificial intelligence inside a major corporation. Rather than deploying AI to optimize ride-matching algorithms or streamline customer service, Uber’s team created a tool designed to simulate the experience of presenting directly to the company’s top executive — complete with his communication style, strategic priorities, and tendency to probe for weaknesses in an argument.
A Practice Arena for High-Stakes Pitches
According to a report from Slashdot, the AI clone was developed as an internal tool that allows employees to rehearse presentations before bringing them to the actual Khosrowshahi. The system is trained on publicly available data about the CEO — his interviews, public remarks, known business priorities, and leadership philosophy — to generate responses that mimic how he might react to a given pitch or proposal.
The concept addresses a real organizational challenge. At a company with more than 30,000 employees, relatively few people get regular face time with the CEO. When they do, the stakes are high. A poorly prepared presentation can mean a rejected initiative, a delayed product launch, or a missed opportunity for career advancement. The AI clone gives employees a low-risk environment to stress-test their arguments, identify gaps in their reasoning, and anticipate the kinds of questions Khosrowshahi might ask.
How the Clone Actually Works
The tool reportedly uses large language model technology — the same foundational AI that powers systems like OpenAI’s ChatGPT and Google’s Gemini — fine-tuned with information specific to Khosrowshahi’s public persona and Uber’s strategic direction. Employees can input their presentation materials or verbally walk through their pitch, and the AI responds in character, asking follow-up questions, expressing skepticism where warranted, and occasionally offering encouragement.
What makes the tool distinctive is its specificity. Generic AI presentation coaches already exist on the market, but they tend to offer broad feedback about clarity, pacing, and structure. Uber’s internal tool attempts something more targeted: it tries to replicate the cognitive framework of a specific individual, anticipating not just what any executive might ask, but what this particular executive is likely to focus on. That includes Khosrowshahi’s well-documented emphasis on profitability, his interest in autonomous vehicle strategy, and his push for Uber to expand beyond ride-hailing into delivery, freight, and advertising.
Khosrowshahi’s Own Reaction
Dara Khosrowshahi has reportedly been aware of the project and has expressed amusement rather than concern. The CEO, who took over Uber in 2017 after the tumultuous departure of co-founder Travis Kalanick, has cultivated a reputation as an approachable leader who values data-driven argumentation. The existence of an AI clone designed to help employees prepare for meetings with him appears consistent with a corporate culture that encourages internal innovation and experimentation with AI tools.
Uber has been increasingly vocal about its AI ambitions. In recent earnings calls and public appearances, Khosrowshahi has discussed how artificial intelligence is being woven into virtually every part of Uber’s operations, from demand forecasting and dynamic pricing to customer support automation and driver safety features. The CEO clone, while lighthearted in concept, fits within a broader company strategy to make AI a pervasive part of how Uber operates internally, not just in its consumer-facing products.
The Broader Trend of AI Executive Simulations
Uber is not the only company experimenting with AI-generated versions of real people for business purposes. The idea of creating digital twins of executives has been gaining traction across Silicon Valley and beyond. Some companies have built AI versions of their founders to onboard new employees, giving recent hires the experience of hearing the company’s origin story directly from a simulated version of the person who started it. Others have experimented with AI board members or AI advisors that can participate in strategy sessions.
The practice raises interesting questions about the nature of leadership and communication in large organizations. If an AI can convincingly simulate a CEO’s thought process, what does that say about the predictability of executive decision-making? And if employees can effectively “pre-clear” their ideas with a digital replica before presenting to the real person, does that make the organization more efficient — or does it risk creating a kind of algorithmic groupthink, where only ideas that pass the AI’s filter ever reach the actual decision-maker?
Risks and Ethical Considerations
Privacy and consent are central concerns when creating AI clones of real individuals, even within a corporate setting. In Uber’s case, the fact that Khosrowshahi is aware of and apparently supportive of the project mitigates some of those concerns. But the broader trend raises questions about what happens when employees or executives are cloned without their explicit approval, or when AI replicas are used in ways that misrepresent someone’s actual views.
There is also the question of accuracy. No matter how sophisticated the underlying model, an AI clone is ultimately a statistical approximation of a person’s communication patterns. It cannot account for the CEO’s mood on a given day, recent private conversations that may have shifted his thinking, or the kind of intuitive leaps that experienced leaders often make. Employees who over-rely on the tool could find themselves blindsided when the real Khosrowshahi reacts differently than his digital counterpart predicted.
Corporate AI Adoption Accelerates Across Industries
The Uber project is part of a much larger wave of corporate AI adoption that has accelerated dramatically since the public release of ChatGPT in late 2022. Companies across industries — from finance and healthcare to manufacturing and media — have been racing to find internal applications for generative AI that go beyond the obvious use cases of content generation and customer service chatbots.
McKinsey estimated in a 2024 report that generative AI could add up to $4.4 trillion in annual value to the global economy, with much of that value coming from internal productivity gains rather than consumer-facing applications. Tools like Uber’s CEO clone represent exactly the kind of internal use case that management consultants have been urging companies to explore: relatively low-cost to build, highly specific to the organization’s needs, and capable of delivering measurable improvements in employee performance and confidence.
What This Means for the Future of Corporate Communication
The implications extend beyond Uber. If the concept proves successful, it could become standard practice at large corporations for employees to rehearse not just with generic AI coaches but with AI replicas of the specific executives they will be presenting to. Imagine a world where a mid-level product manager at any Fortune 500 company can practice their quarterly review with a simulated version of their division president, or where a startup founder can rehearse a fundraising pitch with AI versions of the venture capitalists they are about to meet.
Such tools could democratize access to the kind of preparation that has traditionally been available only to senior executives with personal coaches and extensive support staff. A junior analyst preparing for their first presentation to the C-suite would have access to the same caliber of rehearsal environment as a seasoned vice president. The playing field, at least in terms of preparation, would be significantly more level.
Uber’s Broader AI Strategy Comes Into Focus
For Uber specifically, the CEO clone project is a small but telling indicator of how deeply the company is embedding AI into its culture. The company has invested heavily in AI and machine learning talent, and its engineering teams have historically been encouraged to experiment with new technologies even when the immediate business case is not obvious. The CEO clone appears to have originated as exactly this kind of grassroots experiment — built by employees who saw an opportunity and ran with it, rather than as a top-down corporate initiative.
That kind of bottom-up innovation is precisely what Khosrowshahi has said he wants to encourage. In a company that processes millions of transactions daily across dozens of countries, the ability to experiment quickly and iterate on internal tools is a competitive advantage. Whether the AI CEO clone becomes a permanent fixture of Uber’s internal operations or fades away as a novelty remains to be seen. But the fact that it exists at all says something meaningful about where corporate AI adoption is heading — and about the increasingly blurred line between the real executive and the algorithmic approximation.