For much of the past year, the organisational conversation about AI has been dominated by technology. The models, platforms, procurement, governance, data security, and risk and now, cost. All are important and necessary, but that focus has obscured a more immediate question now emerging inside workplaces: do people have the capability to use AI well?

That question brings AI firmly into workforce territory and therefore into the remit of HR. Building individual and organisational capability has been integral to ensuring people adapt to new ways of working, whether driven by economic conditions, organisational change or technology. AI is the latest and arguably most significant test of how well organisations develop capability across the workforce. Australian research from AHRI identifies workforce capability as a major factor in successful AI adoption, with skills, confidence and understanding continuing to limit the value organisations realise from AI initiatives.

The issue is no longer whether employees can access AI tools. It is whether they can use them responsibly, effectively and in ways that improve the quality of work.

The capability gap is hiding in plain sight

AI is already embedded in many Australian workplaces, often more deeply than leaders realise. Employees are using it to draft reports, analyse information, create presentations, and provide a starting point for communication, frequently without formal training, guidance or agreed ways of working.

Access to the same tool does not produce the same result. Some employees are using AI to improve quality and free-up time; others are accidentally introducing inaccuracies, creating risk or relying on outputs they do not fully understand. The difference is rarely the technology, more often, it is human judgement.

Research conducted within Australia’s public sector found that while AI can improve efficiency, organisations are unlikely to achieve better outcomes unless capability development happens alongside technology adoption and work itself is reconsidered.

The capability challenge is therefore broader than AI literacy. Organisations need people who can evaluate outputs, apply context, challenge assumptions, and make informed decisions. These are not new skills, but AI is making their presence, or absence, far more visible.

The real opportunity is redesigning work

Many organisations are trying to fit AI into existing processes, treating it as another tool to layer onto established ways of working. The greater opportunity is to ask whether those processes should exist in their current form at all.

Research from CSIRO and the National AI Centre highlights the importance of deliberately deciding where human oversight remains essential and where technology can reliably support, augment or automate work.

That shift changes the conversation. Rather than asking whether AI can perform a task faster, leaders need to examine how work is designed and where human effort creates the greatest value. Workforce planning starts to move beyond jobs and job descriptions towards activities, decisions, outcomes, and accountability.

This is where workforce strategy becomes critical. AI adoption is not simply a question of automation; it is a question of work design. Organisations already rely on HR to redesign roles, build capability frameworks, and prepare workforces for change. In the context of AI, that work becomes more commercially significant, not less.

Human judgement is becoming more valuable, not less

One of the most persistent misconceptions about AI is that it reduces the need for people. In reality, it is increasing the value of human judgement.

As AI becomes embedded in everyday work, employees and leaders need to know when to rely on a recommendation, when to challenge an output and when a decision requires a distinctly human perspective. These questions sit at the heart of responsible AI adoption and align closely with AHRI’s research on governance, accountability, and ethical use of AI at work.

While technology can generate recommendations and identify patterns, it cannot be accountable for decisions or their consequences. That responsibility remains firmly with people.

The organisations that gain the greatest advantage from AI will not necessarily be those with the most advanced technology. More likely, they will be those that build the capability to work effectively alongside it, while maintaining judgement, critical thinking and accountability.

Why HR belongs at the centre of the AI conversation

Successful AI adoption requires collaboration across the organisation. Technology teams manage systems and infrastructure. Business leaders identify opportunities to improve performance. But Human Resources determines whether those investments translate into improved workforce capability and meaningful change.

Without the right capability, even the most sophisticated AI tools struggle to deliver meaningful outcomes.

As AI tools become more accessible, a competitive advantage is unlikely to come from access alone. It will come from a workforce that understands how to use AI thoughtfully, apply judgement and combine human strengths with technological capability.

The next phase of AI adoption will be shaped less by who has the tools and more by whether organisations can equip people to use them with judgement, confidence, and accountability.

That makes AI adoption a workforce issue as much as a technology issue, and places HR at the centre of whether organisations translate investment into real and sustainable value. The capability gap can no longer be left to chance. It needs to be deliberately designed, developed, and led.

Ilona Charles is CEO and co-founder of shilo., advising CEOs and executive teams on leading people through complex change, including AI adoption and digital transformation. https://www.shilopeople.com/