Ninety per cent of CEOs are increasing their investment in AI. One in four transformations will succeed. The gap between those two numbers is not a technology problem. It is a leadership one.
By Musa Kalenga, Author, speaker and CEO of the Brave Group
KEY TAKEAWAYS:
1. AI transformation is the defining commercial challenge of this decade, and most CEOs are losing before they begin
2. Transformation must be personally and visibly led by the CEO; delegating it is a near-guarantee of failure
3. Getting genuine buy-in across the organisation—not the performance of it—is where most programmes quietly collapse
4. Africa’s AI window is open. The only question is, will you lead or follow?
Somewhere in a boardroom right now, a chief executive is announcing a transformation. There are slides. There is optimism, and almost certainly, a slightly awkward standing ovation from the leadership team. And statistically, there is a very high chance the whole thing will fail.
According to the Boston Consulting Group, which has tracked transformation programmes for three decades, only one in four growth transformations succeeds. That figure has not changed. Not through the years of enterprise software. Or through the digital revolution. Not now, as the pressure to adopt artificial intelligence reaches a pitch I have not heard in any previous era of business. Ninety per cent of CEOs globally are increasing their AI investment, and nearly three-quarters have placed themselves at the centre of AI decision-making in their organisations. The commitment is real. The odds, however, remain brutal.
The question worth asking is whether to invest in AI transformation. I constantly return to this in my work with executives as a speaker, mentor and teacher at DukeCE. The case for AI transformation is overwhelming. Given this, why do so many intelligent, well-resourced leaders keep failing at it, and what would it actually take to succeed?
The answer consistently comes back to people. Humans find change hard.
THE CEO’S INVISIBLE BLIND SPOT
There is a concept BCG researchers call ‘change distance.’ It refers to the gap between where a leader is in their thinking about a transformation and where everyone else in the organisation is. By the time a CEO stands up to announce a bold new direction, they have spent months (sometimes years) shaping the idea. They feel deeply invested in the journey. For everyone else, it is just another Tuesday morning, and something disquieting has been thrust upon them.
BCG surveyed roughly 6,000 executives and employees on this gap. Participants were asked to imagine a change arriving in their working lives, with no details about its nature or scale; simply: how do you feel about it? Approximately 70 per cent of executives said ‘positive.’ Fewer than half of employees said the same. That gap, invisible to most leaders, fundamental in nature, is where transformations begin to bleed.
The antidote is not softer communications. It is not a town hall with better catering. It is something considerably more demanding: a CEO who understands that they are leading human beings through uncertainty.
McKinsey’s research on AI-leading companies is instructive here. Across more than 200 large-scale technology and AI transformations, they found no AI success story in which senior business leaders were not actively driving the programme. Not supporting it. Not championing it. Driving it by setting direction, making hard calls, and accepting personal accountability for outcomes.
HR IS NOT A SUPPORT FUNCTION. IT IS THE ENGINE.
One of the more costly mistakes I see in transformation programmes is treating the HR function as a logistics operation; the team that handles restructuring paperwork and runs the training programme once the real decisions have been made. This misunderstands both the nature of AI transformation and the role of human capability within it.
McKinsey is direct on this point: every technology and AI transformation is, at its heart, a people transformation. The 2026 AI and Data Leadership Executive Benchmark Survey found that 93 per cent of Fortune 1000 data leaders identified culture and change management as the primary barrier to AI adoption. Just 7 per cent pointed to the technology itself. The technology is largely available. It is broadly accessible. The constraint is the organisation: its habits, fears, informal hierarchies, and incentive structures.
The chief human resources officer, working closely with the CEO, needs to be one of the most active architects of an AI transformation programme. Not because people need to be managed through change, but because they need to be genuinely engaged with it. There is a material difference. One produces compliance. The other produces momentum.
WHY MOST TRANSFORMATIONS FAIL
BCG’s Julia Dhar, Kristy Ellmer, and Philip Jameson, in their work How Change Really Works, have synthesised decades of transformation research and behavioural science into a finding that should sit at the centre of every C-suite conversation: change efforts break down not for lack of ambition, strategy, or CEO charisma, but because organisations pay too little attention to how executives and employees will think, feel, and behave during change.
The reason most transformations fail, Dhar argues, is that people feel change is thrust upon them. This happens when leaders project their own experience with change, their own appetite for it, their own comfort with ambiguity, onto everyone else. Most CEOs are, by disposition and by selection, unusually comfortable with disruption. Their organisations are not. Assuming otherwise is the trap.
There is also what Ellmer calls the ‘mathematics of misalignment.’ Leaders want momentum. They settle for surface-level agreement and move quickly into execution, leaving teams without the clarity they need about what success looks like, how it will be measured, and who is accountable for what. That misalignment compounds. By the time it becomes visible, it has been baked into the programme’s DNA.
EMPLOYEES ARE THE CUSTOMERS OF CHANGE
One of the most practically useful reframes in BCG’s research is this: treat your employees as the customers of change. Not as its recipients, not as people who need to be ‘brought along,’ but as customers, which means understanding what they actually need, testing whether the change genuinely improves their day-to-day experience, and earning their buy-in rather than assuming it.
The moment a CEO internalises this, their behaviour changes, they stop broadcasting about the transformation and start listening. They stop mistaking compliance for commitment. They start asking, ‘Why would anyone choose this?’ And they hold that question honestly enough to act on the answer.
This distinction matters structurally, not just philosophically. Behavioural science tells us that people who have a hand in building something are more committed to making it work. Giving employees genuine decision rights, closing the feedback loop even when the answer is no, and creating real pathways for participation are not soft management gestures. They are the mechanisms that separate momentum from performance. One produces an organisation that transforms. The other produces an organisation that performs transforming, and there is a material difference between the two.
THE MESSY MIDDLE
Somewhere around month six of any transformation, the fanfare has faded, the early adopters are running, the sceptics are watching, and the undecided majority are reading the room. This is the messy middle, and it is where most programmes quietly die.
The discipline required here differs from the inspiration required at launch. Leaders ease up on governance just when it matters most. Dashboards remain green even as the real signals (whether people are showing up, updating actions, and using the tools) begin to slip. What’s needed is honest intelligence from the organisation, not softened truths passed up through a hierarchy.
BCG’s Philip Jameson notes that silence in a leadership team is almost never a sign of agreement. It is unexpressed dissent. The CEO’s job is to invite it early, when it can still be worked through, rather than discover it late, when it has hardened into resistance.
THE RETURNS ARE REAL
I want to be clear about something: I am not writing this as a counsel of caution. The opportunity before us is genuine, and the financial case for transformation is robust. McKinsey studied twenty companies that have genuinely led with AI. On average, they delivered a 20 per cent EBITDA uplift, reached breakeven within one to two years, and generated three dollars of incremental EBITDA for every dollar invested.
A recent DukeCE study found that among 6,000 senior executives globally, 69 per cent reported active AI use in their organisations, yet 90 per cent of those said it had produced no measurable productivity impact.
The same pattern, incidentally, played out in the digital revolution: average productivity growth was modest, but the top 5 per cent of frontier firms achieved gains more than four times higher than their laggard peers. What separated them was not the technology available to them. It was how they adapted their organisations to fully exploit it.
AFRICA’S WINDOW
For those of us operating across the African continent, there is a more urgent argument to make. The African Development Bank, in a report developed under the G20 Digital Transformation Working Group, estimates that inclusive AI deployment could generate up to one trillion dollars in additional GDP for Africa by 2035. That’s almost a third of the continent’s current economic output. Brookings has noted that AI could, within a decade, double the GDP growth rate of African countries. SAP projects that Africa’s digital economy will expand from 5.2 per cent of GDP in 2025 to 8.5 per cent by 2050.
Sub-Saharan Africa is projected to grow at 4.6 per cent in 2026 and 2027. The infrastructure investment is arriving. The talent exists in abundance and with urgency. South Africa’s reform momentum in electricity and logistics, already underway, is beginning to reduce the supply constraints that have long inhibited investment at scale.
The continent does not need to import a transformation playbook designed for Western legacy businesses. It needs to build one suited to its own complexity, demographic advantage, and the particular urgency of its development agenda. That is not a constraint. It is a creative brief, one that African business leaders are uniquely positioned to write.
HOW TO BEGIN
Transformation does not begin with a technology budget. It begins with an honest, wide-ranging, and open conversation about what the organisation is genuinely trying to become and what it will take to get there.
From my work at Bridge Labs and through Brave Group’s own transformation journey, a few things consistently determine whether that conversation becomes a programme or merely a directive. The CEO must be personally and visibly invested, present in the grind. The programme needs a governance structure that surfaces honest signals rather than performance theatre. And the organisation needs to be given real reasons to believe that this transformation is being done with them, not to them.
Start with your people before your platforms. Map the emotional landscape of your organisation before you map the technical one. Find your advocates early. Give your sceptics a voice before they find other ways to be heard. And take the time in advance to define what success looks like in granular terms. Because the mathematics of misalignment will compound every week you leave it undefined.
OPTIMISM AS FUEL
I teach a subject at Duke CE on digital transformation, and there is a question I return to with every cohort: What is the appropriate emotional register for a leader entering a transformation?
Optimism is not optional. It is fuel. Not the naive kind that underestimates resistance, but the grounded, evidence-based kind that says that the outcomes are achievable, the method is knowable, and the human capacity to adapt is routinely underestimated by organisations and overestimated by the individuals within them.
What the most effective transformation leaders I have encountered share is not certainty about the technology, but genuine curiosity about the people they are asking to change. They understand that an organisation’s capacity to transform is not a fixed asset. It is built incrementally through continuous learning, and every decision about how to communicate, how to listen, and whether to treat people as obstacles to progress or as the very mechanism by which progress is made.
The trillion-dollar opportunity is real. The path to it runs through your organisation’s people. The only question that matters now is whether you are prepared to lead it or merely to announce it.
Musa Kalenga is Group CEO and shareholder of Brave Group and co-founder of Bridge Labs. He is a member of the DukeCE faculty, where he teaches digital transformation, business growth, women in leadership, and allyship. He is the author of The Brave Code and Ladders and Trampolines.
