HR Upskilling Strategy: Why HR Leaders Must Upskill First

Key Takeaways

• HR upskilling cannot start with the workforce—it has to start with the HR leader.
• Upskilling at a leadership level is not about certifications—it is about building functional literacy, evaluative judgment, and adaptive leadership.
• Credibility in AI-led transformation is not assumed; it is earned through visible engagement and first-hand understanding.
• The most effective HR leaders do not wait to be fully prepared—they begin learning, and lead through that process.
• In fast-moving regions like the GCC, the pace of AI adoption makes this shift more urgent, not optional.
• A structured approach—starting with honest self-assessment—creates the foundation for both personal readiness and organisational capability.

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There is a conversation many HR leaders have privately that rarely surfaces in the room.

It goes something like this. Their organisation has committed to an AI transformation agenda. Leadership expects HR to lead the workforce upskilling effort — designing programmes, mapping capability gaps, and guiding the change.

The HR leader nods. Accepts the brief. Starts building the plan. And somewhere in that process, a question appears: Am I actually ready to lead this?

In practice, many HR leaders have found themselves here. Now, while most writing on HR upskilling focuses on HR leaders as the architects of workforce development, there are very few that talk about HR as the first subject of that development.

Our aim in this article is to address that gap and outline a practical way forward.

The Structural Problem — HR as Everyone's Coach, Nobody's Student

The HR function carries a built-in orientation problem when it comes to its own development.

By design, HR looks outward. Its role is to enable other functions by building conditions for growth and performance.

Now, while that outward focus gives it its strength, it also creates a blind spot.
Especially in a period of rapid technological change, as has been seen with AI.

Recent research highlights the pattern clearly. SHRM’s 2024 research found that 43% of HR leaders had limited or no theoretical knowledge of AI, and 62% reported limited practical interactions with AI tools inside and outside work.

This wasn’t about disengagement. It reflected a bandwidth of what happens when a function built to support others has little structured space to invest in itself.

As Moveworks notes, HR’s focus on enabling workforce development often comes at the expense of its own capability building. The result is predictable: the function responsible for transformation is often the last to experience it directly.

That challenge, without protected time to address it, is where many HR leaders are operating from today.

What Upskilling Actually Means for an HR Leader — It Is Not a Course

Identifying the problem is just the first step. The second and very crucial next step is defining what “upskilling” actually means at an HR leadership level.

It is not a certification. It is not a one-off training. It is also not about attending a workshop on generative AI.

Those may help but they are not sufficient.

What matters at the leadership level in HR is the development of three capabilities:

• Functional literacy – That is, having enough understanding of AI tools to ask informed questions, evaluate claims, and identify where AI belongs — and where it does not. Not technical depth, but working knowledge.It develops when HR leaders begin engaging more critically with the systems shaping their work—particularly how they evaluate and future-proof their HR tech stack as AI becomes embedded across core HR functions.

• Evaluative capability – The ability to assess AI-driven decisions, interrogate outputs, and understand the ethical and operational risks embedded in automated systems.For HR, it matters enormously. Decisions about hiring, performance, progression, and retention that are influenced or generated by AI carry consequences that require a human with informed judgment at the review point.

• Adaptive leadership – This is about leading people through a change that the leader is also navigating. The skill is not to perform certainty that does not exist. It is to model engaged, honest learning, which is precisely what HR leaders are asking their organisations to do.

Note that the order matters. Functional literacy comes first. Evaluative capability builds on it. Only then does leadership become credible.

In one of the sections below, we explained why credibility matters more in HR than in almost any other function leading AI-driven change.

How Should HR Leaders Upskill Themselves?

In practice, the approaches that tend to be most effective look different from what most traditional HR development programmes offer.

Applied Learning
Working directly with AI tools in the context of actual HR challenges rather than theoretical examples. Not simulations. Not case studies from other industries. Recruiting workflows, workforce planning scenarios, performance data — the real contexts where the leader’s judgment will eventually be required.

Peer-based learning
The HR community contains people at different stages of this journey. The most useful conversations are lateral ones: how other senior practitioners are navigating the same questions, what they have found that works, and what they have stopped doing. This form of learning is informal, unsanctioned, and often more useful than structured programmes.

Iterative experimentation
Treating early use of AI tools as a learning exercise rather than a performance one. The goal is not to produce a polished output immediately. It is to develop a working understanding of what these tools do well, where their outputs need scrutiny, and what questions to ask before using them in consequential decisions.

None of this requires a lengthy development programme. It requires a decision to make it a priority and some protected time to do it properly.

The Credibility Gap — Why This Matters More in HR Than in Other Functions

Earlier, we noted that leadership only becomes truly credible once functional literacy and evaluative judgment are in place. We explain the reason below.

HR is not just another function adopting AI. Its position carries symbolic weight.

A finance team using AI forecasting tools can not shape overall organisational behaviour. A marketing team adopting generative AI can not define how change is perceived across the company.

But HR doing the same things can.

When HR leaders model visible learning, they give the organisation permission to do the same.

But when they design programmes they have not personally navigated, they create an unintended signal: that professional development is meant for employees alone, not leaders.

This is why, when HR becomes an early adopter of new innovations in its own workflows, it not only gains credibility but also demonstrates the new behaviours the rest of the enterprise must adopt.

The credibility does not come from having all the answers. It comes from having done the work.

HR upskilling is not only about the skills gap. It is also about leadership signals.

An Upskilling Framework for HR Leaders

The sequence below gives a better approach for approaching upskilling as a HR leader.

Stage 1 — Assess honestly before designing anything

Begin with a private, structured self-assessment. Not benchmarking against others, but against the actual demands of the role.

Where is your understanding strong?
Where is it uncertain?

Clarity here is more valuable than confidence without substance.

For HR leaders looking to structure that reflection more rigorously, it can be useful to carry out a workforce-level self-assessment using a defined AI readiness framework—particularly when evaluating how leadership capability aligns with broader organisational readiness.

Stage 2 — Seek the learning that the function rarely prioritises

Most enterprise AI programmes are not designed for HR. They target executives or technical teams.

That leaves HR leaders responsible for finding learning that connects directly to their work:

• Workforce capability decisions
• Performance frameworks
• Talent strategy in AI-driven environments

Peer networks, practitioner communities, and direct tool engagement often provide more relevant learning than formal certification.

Stage 3 — Lead visibly, learn visibly

McKinsey’s research on successful AI transformation highlights a consistent pattern: it is leadership-led, not training-led. And the difference is behavioural.

The most effective HR leaders do not present themselves as finished products. They make their learning visible.

That visibility creates psychological safety—the exact condition most organisations struggle to build through formal programmes alone.

The GCC and UAE Dimension

The urgency for HR upskilling is higher for HR leaders in the GCC.

PwC’s 2025 survey found that 75% of employees in the Middle East use AI tools—above the global average of 69%.

The region is not catching up. It is already moving quickly.

Adoption here is being driven by national strategies, workforce localisation efforts, and a strong organisational appetite for change.

The more relevant question for many companies is whether they are keeping pace with the market, particularly for those beginning to question if their GCC company is falling behind in AI adoption relative to peers.

At the same time, HR AI investment is rising sharply. PeopleStrong’s Head of International Operations, Topkoc, projects a significant increase in HR AI budgets, alongside growing workforce upskilling demands.

This creates a clear dynamic:

• Transformation is already underway
• Expectations are already set
• But the HR development infrastructure is still evolving

Fewer precedents, fewer peer networks specifically oriented toward this need, and fewer structured resources for senior HR practitioners navigating AI adoption in the region.

For the HR leaders here, these make the framework outlined here even more important

An HR leader in Dubai or Riyadh who has personally engaged with the tools, worked through the ethical questions, and developed a clear view of where AI belongs would be in a substantially stronger position to do effectively what is being asked right now.

In Summary…

The HR leaders who will navigate AI transformation most effectively are not necessarily the ones who knew the most at the start.

They are the ones who took their own development seriously before asking others to take theirs seriously. Who closed the gap between what they were expected to know and what they genuinely understood.

These would be the HR leaders who are willing to step into the discomfort of being learners before they step back into the role of leading others.

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At MGCG, we work with HR leaders in the GCC and globally on workforce transformation. If you are currently leading your organisation through this kind of shift, feel free to reach out. We would be glad to have a conversation.

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MGCG is an HR consultancy and executive search firm operating across the GCC. Our work focuses on workforce transformation, talent strategy, and the leadership decisions that shape them.

FAQs

What skills do HR professionals need for AI-led transformation?

Functional literacy, evaluative judgment, and adaptive leadership. Not technical depth, but the ability to understand, assess, and lead responsibly.

What does upskilling mean for an HR leader in the AI era?

It means developing the judgment to guide AI-influenced decisions—not just learning tools, but understanding their implications.

How is the HR upskilling challenge different in the GCC and UAE?

AI Adoption here is faster, expectations are higher, and structured HR development pathways are still evolving—making HR upskilling more urgent.

Can HR leaders lead AI transformation without technical training?

Yes. Leadership requires understanding and judgment, not coding ability. The gap is engagement, not technical expertise.

Where should an HR leader start to upskill on AI?

Start with direct interaction with AI tools. Use them in real HR scenarios. Learn through application, not abstraction.