Never before in human history has a machine invaded the sacred confines of the boardroom. From Mesopotamian clay tablets that recorded trade to the printing press, the telegraph, and the Internet, all inventions expanded human capabilities. However, artificial intelligence (AI) is different. It’s more than just an efficiency tool. This is the first technology that can generate ideas and make decisions on its own. As such, it is more important than the telegraph, the printing press, or even the Internet. For business leaders, AI isn’t just a new gadget; it’s a redefinition of strategy.
When machines surprise us
The power of AI is not in automation, but in the ability to think beyond training data. In 2016, DeepMind’s AlphaGo shocked the world by defeating Go champion Lee Sedol. One move in particular, move 37, seemed irrational, even foolish, to experts. Still, the match tilted in AlphaGo’s favor. The creators themselves couldn’t fully explain why the algorithm made the choices it did. Unlike previous chess programs that simply computed faster, AlphaGo demonstrated a kind of strategic imagination.
This raises an unsettling question: If machines can surprise us in games, what happens when they make business decisions that affect the real world?
Dilemma of prejudice
Some optimists believe that machines will be free of human bias. The truth is more complicated. Algorithms are not conscious, but their training data contains our biases. IBM was forced to withdraw its facial recognition system after it performed much worse on dark-skinned women than on white men. Microsoft’s chatbot Tay, released on Twitter, quickly began spewing harmful content after imitating online users.
For CEOs, this dilemma is real. Should you go for a highly accurate but opaque model, or a weaker model that can be interpreted by humans? The trade-off between performance and responsibility is itself a strategic decision. And unlike traditional business risks, AI mistakes can scale at frightening speed.
Adjustment or misalignment of goals
Some companies are already incorporating AI into their corporate strategies. Amazon’s commitment to customer service is reinforced by real-time personalization algorithms. Unilever aligns board sustainability goals with AI-driven logistics to reduce carbon footprint.
But AI doesn’t just execute strategies; it interprets them. That interpretation can be disastrously wrong. Facebook’s engagement algorithm found that anger and hate speech received more clicks than sympathy. By optimizing engagement, this system amplified division and distrust, creating economic, reputational, and social costs. The lesson is clear. The goals given to the AI must be set with great care.
Three possible futures
So how should we imagine the future of AI in business? Three possibilities stand out.
First of all, AI as an assistant. Here, machines handle daily tasks. Insurance companies are already using AI to process millions of claims. This frees up leaders to focus on broader strategy.
Second, AI as a master. In this dystopian future, CEOs will become overly reliant on AI, leaving key decisions to opaque systems. In his book “Superintelligence,” Nick Bostrom warned about machines pursuing goals that diverge from human values. In 2023, concerns resurfaced when Elon Musk, Yoshua Bengio, and other technologists signed an open letter calling for a moratorium on frontier AI development. The threat is not science fiction. A narcissistic CEO could abuse AI’s real-time monitoring capabilities to micromanage employees down to their keystrokes.
Finally, AI as a thinking partner. This is the most promising model in which AI augments human judgment without replacing it. However, CEOs are required to act responsibly.
Rethinking leadership
Three principles should guide CEOs as they embrace AI as a thought partner.
First, it’s charity. AI gives leaders access to employees’ personal opinions, preferences, and even search history. With such power comes a responsibility to protect this data rather than misuse it.
Second is decentralization. Top management should not monopolize information. Multiple channels of decision-making provide checks and balances against abuse.
Third, mutuality. If leaders know more about their employees, employees will understand how decisions are made at the top. Transparency is essential for trust in the age of algorithmic governance.
Boardrooms are no longer just people’s rooms. It is now an ecosystem that blends human judgment and machine intelligence. The ultimate test of leadership in this new era will be knowing how to use machines to make decisions, rather than making all decisions by one person. The ones who will succeed will be those who learn to share power wisely, not those who surrender to or blindly resist AI.
Professor Saptarshi Purkayastha, Professor of Strategic Management, IIM Calcutta University
