Organisations across Asia-Pacific are spending millions deploying artificial intelligence. Most will see almost nothing in return. Not because the technology is wrong, but because the leadership is not ready to use it.
By Ronald Kleer | Founder & CEO, Business Performance Group | bpg.sg
Last year, one of Asia’s largest banks deployed an AI tool across its entire workforce. Every employee. Access granted. The mandate was clear, and the investment was real.
Within weeks, adoption had flatlined. Nobody had told the managers what it was for.
88% of organisations are experimenting with AI. 81% report no meaningful impact on the bottom line. McKinsey, State of Organizations 2026
That figure should stop every chief executive in their tracks. Not because it is surprising. Because it is not.
We have seen this pattern before, with ERP systems in the 1990s and digital transformation in the 2010s. A powerful tool is purchased, mandated from above, and given to a workforce that has not been prepared to use it, led by managers who privately fear it, inside organisations that have not changed a single process to accommodate it.
The result is always the same. The tool sits beside the workflow rather than inside it. Usage is measured. Adoption is declared. Performance stays exactly where it was.
The AI wave is following the same trajectory, at ten times the speed and with considerably higher stakes.
The Leadership Gap Nobody Is Talking About
The conversation about AI in the boardroom is almost entirely the wrong conversation. Boards ask about data governance, model selection, compute costs, and regulatory risk. These are real questions, but they will not determine whether an organisation captures value from AI in the next three years.
The question that will determine that is simpler and far more uncomfortable: are your leaders capable of directing AI effectively?
Not using it. Not prompting it. Directing it, with the judgment to know when AI’s output is right, when it is dangerously plausible but wrong, and when it should inform a decision rather than replace one. That is a leadership capability, and in most organisations it does not yet exist.
There is a specific anxiety driving this gap that almost nobody says out loud. Senior leaders are frequently the least fluent people in their own organisations when it comes to AI. They have watched analysts experiment with it and read the briefings, but they have not used it for their own work, in their own context, under pressure.
That gap creates a subtle but devastating dynamic. Leaders who feel exposed by a technology will not champion it. They will not block it either. They will quietly deprioritise it: one more governance review, one more budget approved, one more follow-through forgotten.
The technology stalls not from the bottom up, but from the middle out: at exactly the layer where change is made or broken.
What AI Readiness Actually Means
Most AI readiness efforts are either a technology checklist or a training programme. Neither addresses the real problem. A checklist tells you whether your infrastructure can support AI, not whether your people can use it well. A training programme teaches someone to navigate a tool. It does not change how they make decisions or lead through uncertainty.
Genuine AI readiness has five components, and only one of them is technical.
● Narrative. Leaders must be able to answer the question every team will ask: why are we doing this? Organisations that cannot answer honestly will face passive resistance that no mandate can overcome.
● Workflow integration. AI adoption fails when the tool sits beside existing processes. Sustainable adoption means AI embedded inside the way work happens, as the default method, not an optional add-on.
● Leadership fluency. Senior leaders need hands-on capability, not to become technologists, but to direct AI with confidence. Until a CFO has used AI to interrogate a set of management accounts, they will struggle to lead an AI-enabled finance function. The same is true at every level.
● Decision architecture. AI generates signals continuously, but most organisations have no framework for acting on them. Building the bridge between AI-generated data and human decision-making is a leadership design challenge, not an IT project.
● Continuous improvement culture. AI is most powerful when it drives a regular loop: surface insight, act, measure, adjust. Few organisations are close to closing that loop, because the culture of acting on data, rather than merely collecting it, has not been built.
The Cost of Getting This Wrong
The consequences of AI underperformance are not linear. Organisations that deploy AI effectively do not become marginally better than those that do not. They make better decisions faster, at lower cost, with smaller teams, and the gap will compound every quarter from here.
In Asia specifically, the stakes are amplified by the talent market. The most capable people are already self-selecting towards organisations that will invest in their development and equip them to work in modern ways. The talent cost of AI unreadiness is already material, even before the performance cost is counted.
The regulatory environment adds a further layer. Singapore’s AI governance frameworks and the broader ASEAN trajectory on responsible AI deployment mean organisations without structured approaches to AI oversight face increasing compliance exposure. Governance without capability is not governance. It is a liability.
What the Best Organisations Are Doing Differently
The organisations generating real returns from AI share a common pattern. They treat AI adoption as a leadership transformation programme, not a technology deployment. The technology is a given; the question is what kind of leaders and culture are needed to capture the value it makes possible.
They build AI fluency at the top first, because the signal leadership sends about its own willingness to learn is the most powerful adoption driver available. A CEO who visibly uses AI in their own work creates permission for the entire organisation to do the same.
They redesign processes before they measure adoption, asking not how many people are using the tool, but whether decisions, reports, and client interactions have changed so that AI is the natural path rather than an additional step. And they measure outcomes, not usage. The only number that matters is business performance: decision quality, speed to action, cost per output, client satisfaction.
The Question for Every C-Suite Leader Reading This
If your board asked you today to quantify the return your organisation has generated from its AI investment in the last 12 months, what would your answer be?
If that answer is unclear or uncomfortable, the problem is almost certainly not the technology. It is the leadership layer between the technology and the outcome: the managers who have not been equipped to direct AI, the processes that have not been redesigned to include it, the culture that has not yet made acting on data a habit.
That is a solvable problem, but it requires a different kind of investment than most organisations are currently making: not in licences or infrastructure, but in the leadership judgment and organisational capability to turn AI from a line item into a competitive advantage.
The organisations that make that investment in 2025 and 2026 will be in a fundamentally different position by 2028. The ones that do not will be explaining to their boards, again, why the technology they bought did not deliver.
Ronald Kleer
Ronald Kleer is the Founder and CEO of Business Performance Group (BPG), a Singapore-headquartered consultancy specialising in strategy execution, operational transformation, performance culture, and executive interim management. BPG operates across Southeast Asia and internationally through its partnership with X-PM and the WIL Group. BPG’s HPC (High Performing Culture) Leadership Readiness framework, developed with McLaren F1 and tested across pharmaceuticals, banking, supply chain, and FMCG, has delivered strong first-year ROI across client engagements. BPG now offers HPC-AI, turning AI from a line item into a competitive advantage.
www.bpg.sg
