A new and potentially disruptive application of AI in the workplace is emerging: AI-generated replicas of CEOs.
Recent examples highlight just how quickly this shift is moving from experimentation to reality. At Customers Bank, CEO Sam Sidhu deployed an AI-generated version of himself to deliver prepared remarks during an earnings call, while at Meta, an AI-powered version of Mark Zuckerberg is being developed to communicate directly with employees.
For HR leaders, these are early indicators of a broader transformation in how leadership is experienced across organizations, and raise critical questions about trust, culture, and the future of leadership.
The Potential: Scalable Leadership Presence
The appeal of AI-generated executive clones is arguably straightforward: they can deliver consistent messaging, interact with employees across time zones, and extend access to leadership without the constraints of time or geography.
In the case of Customers Bank, the use of an AI CEO clone was positioned as part of a larger push toward AI integration, signaling both technological ambition and a willingness to rethink traditional executive roles. Similarly, Meta’s exploration of a Zuckerberg avatar suggested a future where employees can engage with leadership on demand, potentially increasing access to strategic perspectives.
For organizations, this creates a compelling efficiency narrative: more communication with less executive bandwidth required.
“AI is amazing at processing data and scale,” said Kenny Pyle, SHRM’s lead technology analyst. “If a CEO can be cloned successfully enough that you could rely on its feedback, then a legacy use of layers of management could potentially become obsolete.”
The Risk: Questions About Authenticity
While leadership is often centered around delivering information, it’s also about building trust. That’s where AI clones introduce meaningful risk.
When employees learn that a CEO’s message was delivered by an AI replica — as in the Customers Bank example — it can create a sense of distance, even if the content itself is accurate. At Meta, the idea of interacting with a simulated version of a CEO raises deeper questions about authenticity. A digital proxy could intend to truly represent leadership intent, but it may also risk becoming a curated, sanitized version of it.
“The examples from Customers Bank and Meta illustrate two sides of the same coin: AI as both an enabler of scale and a potential disruptor of trust,” Pyle said. “Organizations that lean too heavily into efficiency may find themselves eroding the very cultural foundations they depend on.”
In an environment where the line between human and machine-mediated leadership is increasingly blurred, HR’s role in maintaining credibility alongside technological development could become more urgent.
The Culture Impact: Redefining Connection
AI CEO clones risk redefining engagement in overly transactional terms. While an AI avatar can provide answers and information, it cannot replicate the emotional nuance, empathy, and spontaneity that define meaningful human interaction.
“If a CEO clone’s advice differs from a manager’s, who is the employee supposed to follow?” Pyle said. “If there is a CEO clone without any meaningful guidance output, does it become more of an organizational mascot? What is the ultimate reason employees would chat with a CEO clone? AI can extend a leader’s reach, but it can’t replace their responsibility to show up authentically. HR has to draw that line clearly.”
3 Things HR Should Can Do Now to Prepare
1. Preserve high-stakes human moments. Earnings calls and internal communications may be augmented by AI, but moments involving change, uncertainty, or culture-building should remain led by people.
2. Reframe executive presence. If executive leaders choose AI to deliver routine messaging, HR should help them focus on authentic engagement — live interactions, listening sessions, and visible decision-making.
3. Build organizational AI fluency. It’s crucial for employees to understand a new tool’s purpose and limitations. Building organization-wide fluency in the strengths and weaknesses of AI can help clarify its role.
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