Artificial intelligence is not a new concept. We have been living with it for years, often without noticing. But something has changed. It has gone from being an invisible technology embedded in services to becoming an active tool in the hands of people and companies, with an impact we still do not understand.
And that change makes it different from what we knew before. It is no longer just a technological issue; it is a strategic asset redefining how companies create value, compete and survive, at great speed.
Many companies relegate this conversation to the IT department. But I believe AI must have a place in the boardroom. That is where its risks and opportunities should be analyzed, where boards can anticipate how it can transform the business, and where decisions need to be made—decisions many organizations are still postponing.
Since AI emerged with force, I have continued to reflect on how it is transforming corporate governance. Based on years of experience working with organizations and studying the topic, here are five conversations I believe every board should be having today, with no excuses and no delays.
1. AI is not just about efficiency; it requires reassessing the business model.
Driving AI adoption is not about automating processes or digitizing what already exists. It means questioning how the company creates value, serves its customers and generates competitive advantage. Not every business model will change in the same way or pace, but no company should assume that its model will remain intact.
This requires opening conversations that are often absent from the board agenda: “Which part of our business is most vulnerable to AI? Where could a competitor capture value faster than we can? Which decisions that are human today could be made by AI tomorrow?” These conversations should focus on understanding how AI can change the way you compete, not how to adopt the most AI. Focus on quality over quantity.
2. Anticipating is now as important as overseeing.
Reviewing the past remains an essential part of the board’s role, but in my experience, it is no longer enough on its own. Today, it is also critical to anticipate: to understand how the environment may change, what risks may emerge and where advantages may open up.
In practice, this means asking different questions: “Are we discussing future scenarios with enough depth? Does our strategy explicitly incorporate the potential impact of AI? Which decisions are we postponing because of a lack of clarity?”
These questions can help your board move beyond oversight and begin to guide the organization’s direction in uncertain scenarios, where the speed of learning often defines competitive advantage.
3. It is not enough to manage talent; it must be transformed.
Don’t ask how many jobs AI will replace; ask which human capabilities become more critical when technology redefines work. Often, the greatest risk is not technical, but organizational. From my observations, adopting AI without strengthening human judgment and critical thinking among decision-makers is where many companies fail.
Boards should lead this conversation and analyze how the way of working will change, which new profiles and capabilities will be needed and whether incentives are rewarding those who learn, adapt and transform, not inertia or behaviors that block progress. The essential questions are: “How are we adapting our workforce, in terms of capabilities, roles and incentives, to the impact of AI? Are we developing the capabilities that AI cannot replace?”
4. Good governance allows AI to scale with judgment.
AI does not govern itself, nor should it remain solely in the hands of management. The board should establish a clear governance model that defines which body or committee will lead the topic, which decisions will be escalated to the full board, and under what criteria.
But assigning responsibility is not enough. Make sure your board has members capable of asking questions that go beyond the superficial, who understand the strategic impact of technology and who can challenge management with the right questions. This also means rethinking board composition and incorporating diverse perspectives, including technological experience as a condition for effective oversight.
It is worth asking: “Is our board truly prepared to challenge management and make AI-related decisions with judgment?”
5. Managing risks enables AI adoption with trust.
Artificial intelligence has amplified existing risks, making them harder to detect and more costly to ignore. Without effective controls, it can become a threat that destroys value. The fronts include third parties operating with critical data without sufficient oversight; confidential or intellectual property information exposed to public models; and automated decisions that no one can later explain.
In my experience, addressing these risks requires strengthening cybersecurity as a prior and permanent condition, because this allows the organization to manage and protect information while scaling AI with trust. Ask your board, “Are we prepared to explain and defend the decisions AI makes within our organization?”
A board that understands these implications is more equipped to identify the most vulnerable areas, define the necessary controls and govern AI focused on operational resilience and responsible use. Rather than stopping innovation, this step can enable it and make it sustainable.
Final Thoughts
AI will continue to evolve, and no one has all the answers. But that cannot be an excuse for failing to ask the right questions. Boards that lead this conversation with determination can make a difference, and not because they are up to date with the latest trends. It’s because they can think strategically and anticipate change before the environment forces them to react.
I believe those who lead in their industries in the coming days will be the ones who understand early that modernization is a condition for remaining competitive, and that it means much more than incorporating technology or appearing innovative. Because standing still in the face of AI is also a decision, and it has a cost that will become visible sooner or later. And although technology will continue to advance, critical thinking and human judgment are what will ultimately define its use.
By Susana Sierra
Published in Forbes Business Council
