Anoop Sagoo, the CEO of Accenture Southeast Asia, sits at the epicenter of a technological revolution that is moving faster than most corporate structures can handle. In a region known for its rapid digital leapfrogging, Sagoo offers a sobering look at the reality behind the AI hype, distinguishing between those merely watching the snowball roll downhill and those actively building the tracks. Our discussion delves into why only a small fraction of firms are scaling AI responsibly, the architectural shifts required in corporate governance, and why the most vital tool for a modern leader isn’t a coding language, but the profoundly human capacity for empathy.
Only about 15% of regional firms are currently taking the necessary steps to scale AI responsibly; what is holding the rest back and what are the risks of this inaction?
The vast majority of companies are currently caught in a “wait and see” pattern, observing the AI snowball gather speed as it rolls down the hill without actually preparing their internal infrastructure. This hesitation stems from a fundamental misunderstanding of the compounding effect of inaction, where the gap between leaders and laggards grows exponentially every single month. While many were still trying to wrap their heads around the shift from deterministic to probabilistic systems just two years ago, that small 15% is already building the foundations for trust and long-term accountability. The risk isn’t just falling behind on productivity; it is the permanent loss of competitive edge that occurs when you try to implement complex systems without a solid governance framework already in place.
How does the cross-enterprise nature of AI force a complete re-architecture of traditional corporate governance from the ground up?
AI acts as an enterprise-wide brain that draws context from every department simultaneously, which means it cannot be siloed or “owned” by a single executive title or traditional department. Because this technology draws its power from across the entire organization at once, we are forced to rethink accountability from the ground up to ensure the system doesn’t operate in a vacuum. If you do not deliberately build accountability into the new corporate architecture, you end up with a powerful “brain” that lacks a natural owner or a clear steering mechanism. This re-architecture is about creating a structure where the human remains in the lead, ensuring that the machine remains aligned with the company’s ethical and operational heart.
With doomsday narratives surrounding job displacement creating widespread anxiety, how should leaders address the fear permeating their organizations?
We must be brutally honest and direct with our teams because fear is the absolute antithesis of the mindset required for successful AI adoption. When people feel they are just trying to survive a threat rather than develop a new skill, they naturally resist change and stop innovating. Leaders need to move beyond polished corporate statements and instead provide visible, heavy investment in reskilling programs that treat people as assets to be empowered. By fostering an honest dialogue about the future of work, we can help employees see AI as a skill they can master rather than a replacement they must survive.
You’ve identified empathy as the most important leadership quality in the AI era—how does this “human in the lead” philosophy manifest in daily operations?
While AI can process vast amounts of data and seem incredibly intelligent, it fundamentally lacks the ability to “read the room” or notice that something is wrong before a word is even spoken out loud. It only has the context it has been given, making it a powerful but ultimately hollow mimicry of human judgment and gut feel. Empathy allows a leader to apply emotional intelligence to complex situations where the data might be technically correct but humanly flawed or insensitive. Keeping the human in the lead, not just in the loop, ensures that we use our irreducibly human capabilities to make the final, nuanced calls that a machine simply cannot calculate.
What is your forecast for AI in Southeast Asia?
The urgency will only intensify as companies move from asking “why” to asking “how much faster,” but the true winners will be those who prioritize trust and accountability over pure speed. In the coming years, I expect to see a significant shakeout where the 15% who invested in responsible AI early begin to pull away from the rest of the market. We will see a shift where the “skill” of AI fluency becomes as standard as literacy, driven by organizations that dared to have unpolished, honest conversations with their workers today. Ultimately, the future of the region belongs to leaders who can balance the cold efficiency of the machine with the intuitive, empathetic judgment that only a human can provide.
