AI is the opportunity. Culture is the Constraint.

Organisations are under pressure from every direction. Growth expectations remain high while margins tighten. AI adoption has accelerated from curiosity to corporate mandate. The result is an almost constant state of change with transformation becoming permanent. We experience this with almost every client we engage with. "We know where we need to be, we are struggling to get there". According to McKinsey, around 70% of transformation programmes fail to achieve their objectives, and fewer than one third deliver sustained performance improvements over time. There is a bottom line cost. Globally, failed or underperforming transformations are estimated to cost organisations over US$2 trillion a year in wasted investment and unrealised value.

[hbr.org], [mckinsey.org] [ft.com]

The uncomfortable truth? Most of these failures don’t come down to flawed strategy or weak technology.

They come down to people, and this is what is underpinning so many of the challenges.

The first challenge: The AI investment paradox

Organisations are investing at unprecedented levels in AI. Global enterprise spending on digital transformation is already above US$2.3 trillion annually, with AI leading the charge. [usehorizon.ai]

But MIT’s research paints a stark picture. Despite tens of billions invested in generative AI, 95% of enterprise AI pilots fail to deliver measurable P&L impact, and only 5% reach production at scale. [aimagazine.com].

But let's not focus on the success rate as a measure. Let's look at where we are investing. 95% of investment in AI is going on technology, only 5% on the people in the organisations who need to understand it, use it, and extract value from it. There lies the problem.

The barrier isn’t the technology. MIT is explicit: failure stems from poor organisational integration, brittle workflows, lack of capability and misalignment with how people actually work. [mitsloan.mit.edu], [mindtheproduct.com]

In other words, we are transforming tools faster than we are transforming organisations. AI doesn’t fail in isolation. It fails when it collides with unclear priorities, fragmented cultures, exhausted managers and workforces that don’t understand what the change is for — or what’s in it for them.

AI doesn’t fail in isolation. It fails when it collides with unclear priorities, fragmented cultures, exhausted managers and workforces that don’t understand what the change is for — or what’s in it for them.

The second challenge: Strategy at the top, confusion below

Most strategies today are well intentioned. Many are genuinely ambitious. The problem is translation.

Gartner’s research shows that only around one third of employees feel their organisation consistently delivers on what it promises, and fewer than one in five clearly understand what their organisation’s employee value proposition actually is. [gartner.com]

This lack of clarity has a direct financial cost. Gallup demonstrates that disengaged and misaligned employees cost the global economy US$8.8 trillion every year — around 9% of global GDP. In 2024 alone, falling engagement levels cost organisations US$438 billion in lost productivity. [forbes.com] [prnewswire.com]

Strategy that isn’t understood might as well not exist.

When employees cannot clearly answer, “What are we trying to achieve, and how do I contribute?”, execution becomes fragmented, discretionary effort disappears, and AI becomes an accelerant of dysfunction rather than performance.

The third challenge: The hidden load on people leaders

Chief People Officers and HR leaders now sit at the centre of this tension.

Deloitte’s research shows that over half of senior people leaders are tasked with leading large scale transformation, often alongside expanded mandates covering culture, workforce capability and operating model redesign. [deloitte.com], [innovationleader.com]

Yet culture is still treated as an outcome — not a system.

Transformation budgets have increased by up to 2.5x in the past two years, but investment remains skewed toward technology and structure rather than the behavioural change required to realise value.

Predictably, McKinsey finds that even “successful” transformations capture only two thirds of their potential financial value, with most value leakage occurring during implementation and embedding. [deloitte.com] [mckinsey.org]

The outcome: The symptoms leaders are seeing

Where culture isn’t actively understood and shaped, the signs are consistent:

• Falling engagement and rising fatigue

• Managers overwhelmed and disengaged

• Local workarounds instead of scaled adoption

• Change cynicism before initiatives even launch

Gallup’s data is unequivocal: managers account for 70% of the variance in team engagement. When they are unclear, unsupported or burnt out, performance erosion follows at speed. [newsroom.b...mboohr.com]

This isn’t a soft issue. It’s a direct drag on revenue, productivity and shareholder value.

The solution: What organisations actually need to do

The organisations that convert AI and transformation into business results do three things consistently.

First, they build a deep, honest understanding of their culture — end to end. Not values posters, but real decision making behaviours, energy flows, friction points and informal norms.

Second, they communicate direction with clarity and credibility. Not just vision decks, but a clear value exchange: what the organisation is asking of people, and what people can expect in return. Repeatedly. Through managers. In human language.

Third, they treat change as a process to be embedded, not launched. Pacing matters. Capability matters. Leadership behaviour matters. AI amplifies whatever system it’s introduced into — including misalignment.

The bottom line

Culture is no longer a “nice to have.” It’s a financial variable.

Organisations that fail to understand and actively shape their culture will continue to burn capital on technology, exhaust their people, and wonder why transformation doesn’t stick.

AI isn’t the constraint.

Culture is.

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