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Volume 1 | Issue 1

October 2024

Your AI Transformation Is Missing Its Most Important Player

Self-limiting beliefs
and self-imposed
mental barriers might
be holding you back

Here’s a number worth pausing on: only 21% of HR leaders are closely involved in their company’s AI strategy decisions (AIHR, 2026 HR Trends).

At the same time, McKinsey finds that 88% of organisations now use AI in at least one function, and Deloitte reports that worker access to AI rose 50% in a single year. The tools are everywhere. The returns, for most organisations, are not.

The connection between those two facts is more direct than most leadership teams realise.

Transformation is often framed as an organisation-wide effort. In practice, its success is far more concentrated.

Research from McKinsey shows that organisations where around 7% of employees actively own transformation initiatives are twice as likely to outperform peers.

Yet most organisations operate closer to 2%.

This is not just a participation gap. It’s a gap in where ownership sits.

The data points to a clear threshold: at around 7%, transformation begins to sustain itself. Below that, it struggles to gain traction.

The ROI Gap Has a People-Shaped Hole in It

New research from InStride (March 2026), based on a survey of enterprise organisations with 3,000+ employees, found something striking: organisations with a CHRO leading AI workforce strategy report 54% AI training effectiveness — more than double the 21% reported in CIO- or CTO-led models.

Yet only 13% of enterprise organisations have a CHRO leading AI workforce strategy.

SHRM’s research adds another data point in the same direction: organisations that followed change management best practices when deploying AI were 2.6 times more likely to report successful outcomes. Change management is not an IT discipline. It’s an HR one.

Meanwhile, AIHR’s analysis finds that AI returns vary enormously between organisations — top performers report ROI of 55% or more, while others sit at 5%. The differentiating variable isn’t the AI model or the budget. It’s how organisations prepare their people to use it, redesign work around it, and build the skills to sustain it.

That’s the HR agenda. In most organisations, HR isn’t setting it.

Why This Matters: AI Transformation Is Workflow Redesign

Every AI deployment ultimately lands on a human being who has to integrate it into how they work. That means AI transformation is, at its core, about three things: redesigning workflows, redesigning roles, and building new skills at scale.

These aren’t technology questions. Deloitte’s 2026 Global Human Capital Trends report is direct about this: the AI skills gap is the single biggest barrier to AI integration, and education alone isn’t the answer. The real work is redesigning how work happens — which requires HR capability in workforce planning, job architecture, and learning design.

Gartner’s research with 426 CHROs across 23 industries identifies the same four priorities for 2026: AI-driven transformation, workforce redesign for the human-machine era, leadership readiness, and culture. These aren’t HR side projects. They are the transformation.

When the function responsible for workforce architecture, skills development, and change enablement isn’t part of the strategy, the gap shows up in the results — and the data above suggests it’s showing up consistently.

What’s Actually Happening in Most Organisations

The honest picture, from the research:

  • Only 1 in 4 HR professionals played a leading role in AI implementation, even though two-thirds believe HR should be leading on change management and training (SHRM).
  • Two-thirds of HR professionals say their organisation has not done enough to upskill employees for an AI-powered future (SHRM, 2025 Talent Trends).
  • Only 13% of HR leaders feel confident their organisation is ready to scale AI effectively — and that number fell year-over-year as AI accelerated (Leathwaite, 2025).
  • Only 21% of CIOs are prioritising planning AI’s impact on employee work (Gartner). So it’s not that CIOs are filling the gap — nobody is.

The result, as Gartner puts it, is that no one is systematically addressing the full workforce impact of AI-based work redesign.

The Pattern in Organisations Getting This Right

Organisations breaking through the adoption-without-returns problem share a recognisable pattern: they treat AI as an enterprise redesign challenge from the start, not a technology deployment to be “change managed” at the end.

In practice, this means HR is involved before the tools are selected — contributing workforce data, skills intelligence, and job architecture thinking to decisions about where AI gets deployed and how. It means job and workflow redesign happens in parallel with technology rollout, not after it. And it means learning infrastructure is built for the pace of change, not retrofitted once adoption stalls.

Deloitte’s 2026 research shows that only 34% of organisations are genuinely reimagining their business with AI. The others are running experiments and automating tasks without the underlying organisational redesign to make the gains stick.

The Practical Question

If you’re a CEO or board member: the diagnostic is simple. Is HR in the AI strategy conversation before decisions are made, or after? Is workforce redesign part of your AI roadmap, or a follow-on workstream? Is there anyone accountable for the skills gap that AI deployment will create?

If you’re a CHRO: the business case for involvement is now quantifiable. CHRO-led AI workforce strategy produces more than double the training effectiveness of CIO- or CTO-led models. That’s a result worth taking into the room.

The organisations getting ahead of this aren’t doing anything exotic. They’re just running AI transformation and workforce transformation as one conversation instead of two.

Is HR embedded in your organisation’s AI strategy from the start, or is it being brought in downstream? Interested in what’s working — and what isn’t.

#TranformationThatLasts

Sources:

 

Anu D’Souza is the CEO of Bricoleur Consulting — insight-led leadership recruitment and transformation. She has spent her career at the intersection of business growth strategy, brands and leadership, working with and within companies including Unilever, Ogilvy and BBDO across multiple markets and cultures. Bricoleur works with senior leadership teams across APAC who are navigating AI and digital transformation — from readiness assessment through to placing the permanent and fractional leaders who make it stick. Anu is also the author of Aligned: Why CEOs Need Company Brand Alignment in the Age of a Questioning Workforce.

Connect with Anu:

insight@bricoleurconsulting.com · calendly.com/bricoleurconsulting/30min