Will your next boss be an artificial intelligence? The question is no longer science fiction. In 2022, NetDragon Websoft, a publicly traded Chinese company, appointed Ms. Tang Yu — an AI — to lead its subsidiary. Elsewhere, the "Mika" experiment demonstrated that an algorithmic CEO could make decisions faster and without emotional bias. Two real experiments. Two results worth examining closely.
The experiments that sparked the debate
Tang Yu is not a marketing gimmick. NetDragon Websoft entrusted her with the operational management of its Fujian NetDragon Websoft subsidiary. Her role: analyze data in real time, optimize workflows, and support strategic decision-making. No fatigue. No emotional bias. No office politics. Decisions based exclusively on data and algorithms.
The Mika experiment points in the same direction. This algorithmic CEO, tested in a controlled environment, demonstrated an impressive ability to synthesize massive volumes of information, identify patterns that human executives would have taken weeks to spot, and propose decisions free of cognitive bias.
The advertised advantages are compelling. 24/7 availability. Information processing capacity that exceeds the human brain by several orders of magnitude. Imperviousness to internal political pressures, court dynamics, and egos. On paper, it is the perfect executive.
What AI does better than a human CEO
Let us be honest: there are domains where AI objectively outperforms human leaders. Ignoring them would be as naive as claiming AI can replace everything.
Massive data analysis. A human CEO reads a 50-page report and retains the essentials. An AI ingests 50,000 documents, cross-references market correlations, detects weak signals, and generates recommendations in seconds. In a world where decision speed is a competitive advantage, this is a formidable asset.
Eliminating cognitive biases. Confirmation bias, anchoring effect, loss aversion — human executives are riddled with biases that distort their judgment. AI does not fall in love with its own ideas. It does not cling to a strategy out of ego. It coldly reevaluates at every iteration.
Operational management. Resource allocation, supply chain optimization, dynamic pricing, financial forecasting — everything that falls under parametric optimization, AI already does better than any human. And this is just the beginning.
What AI cannot do (and probably never will)
But leading a company is not about optimizing a function. It is about navigating radical uncertainty. It is about convincing human beings to follow a direction when the data says nothing clear. It is about embodying a vision.
Empathy. When a leader must announce layoffs, it is not about calculating the optimal cost-benefit ratio. It is about looking people in the eye and owning a decision that will change their lives. AI feels nothing. And employees know it. An algorithm announcing your termination is the dehumanization of work taken to its logical endpoint.
Strategic intuition. The most transformative decisions in business history were made against the data. Steve Jobs launching the iPhone when every market study said nobody wanted a phone without a keyboard. Reed Hastings pivoting Netflix to streaming when DVDs were still thriving. AI optimizes what exists. It does not dream up what does not exist yet.
Crisis management. In a crisis — pandemic, geopolitical conflict, media scandal — historical data becomes useless. The model has learned nothing about this scenario. That is precisely where human judgment, experience, and instinct become irreplaceable.
The real model: the augmented leader
The real question is not "can AI replace a CEO?" but "how can a CEO become radically more effective with AI?"
I keep coming back to this: the future of leadership will be hybrid. Machine analysis in service of the human heart. Concretely, this means a leader who delegates to AI everything it does better: massive data processing, pattern detection, scenario modeling, operational optimization. And who focuses on what only they can do: inspire, decide in uncertainty, embody values, build trust.
In my consulting work, I see this augmented leader profile emerging. Those who use AI as a strategic co-pilot make better decisions, faster, with fewer blind spots. Those who resist on principle find themselves overwhelmed by the growing complexity of their environment.
The real risks of algorithmic governance
We must also name the risks. An AI that leads is an AI that someone programmed. With what objectives? What biases baked into the training data? What transparency about decisions made?
Algorithmic governance raises major legal questions. Who is liable when an AI decision destroys value? The board that adopted it? The software vendor? The algorithm itself? The law does not yet have a clear answer.
And there is the dehumanization risk. When employees feel that decisions affecting their lives are made by a black box, engagement collapses. Trust evaporates. The sense of purpose at work vanishes. No performance dashboard compensates for the loss of human connection.
What will actually happen
The 100% AI CEO will not become mainstream. Not because the technology is not ready — it is, for many tasks. But because leading is not a task. It is a relationship. And relationships demand humanity.
What will become mainstream, however, is AI as a member of the executive committee. Present at every strategic meeting. Feeding every decision with data, scenarios, projections. But leaving the final word to a human being who takes responsibility.
Would you work under the orders of a robot? Probably not. But would you work with a leader who refuses to use AI to make better decisions? The answer should be the same.
I help leaders and organizations integrate AI into their decision-making processes. If you want to explore what augmented leadership can bring to your context, let us talk.