Organisational psychologist Dr. Amantha Imber identifies the primary obstacles preventing your AI strategy from achieving its intended business outcomes.

There’s a pattern I see playing out in organisations right now, and it concerns me. According to ELMO’s 2026 HR Industry Benchmark Report, 32 per cent of Australian HR leaders expected AI to be transformative for their organisation last year but only 15 per cent say it actually delivered. 

Leaders are pouring money and energy into AI adoption programs, ticking boxes on training and tool rollouts, and then wondering why meaningful gains aren’t showing up. The problem isn’t the technology. The problem is the strategy – or more accurately, the three things most AI strategies consistently get wrong.

Leaders aren’t doing it themselves

Innovation is not something you can delegate. Yet that’s exactly what most senior leaders are attempting when they commission an AI literacy program for their workforce while continuing to work exactly as they always have.

Your executives are your highest-paid employees. If they’re not personally experiencing productivity gains from AI, that’s a significant and measurable gap in the value your leadership team is delivering. 

When leaders don’t use these tools themselves, they lose the ability to set a credible vision for how AI should reshape the organisation and how people work. They become passengers in a transformation they’re supposed to be driving.

The first and non-negotiable step is getting your executive and senior leaders genuinely using AI for their own productivity and effectiveness. If you’re an HR leader trying to move the needle on AI adoption, start at the top.

Adoption isn’t enough. Leverage is everything

Yes, people need to know how to use the technology. But knowing how to write a better email prompt is not a transformation. It’s a parlour trick.

The data backs this up. ELMO’s 2026 HR Industry Benchmark Report found that while 93 per cent of Australian HR teams are using AI, over half (55 per cent) do so only occasionally. Breadth of adoption looks impressive on a dashboard; depth is what actually moves the needle.

The more important question (and the one most organisations skip) is how people leverage AI in their teams and functional areas. This is where process redesign comes in, and it requires a fundamentally different way of thinking. 

People need to learn to think like process engineers: mapping out their workflows, identifying where the friction sits and evaluating how AI can improve, augment, or automate each step. It’s not a skill most people have naturally, and it takes deliberate investment and the psychological safety to actually challenge the way work gets done.

If your AI program stops at literacy and doesn’t extend to leverage, you’re leaving the vast majority of the value on the table.

No one has asked what to do with the time saved

This is the blind spot that troubles me most, because the consequences are already playing out in organisations everywhere.

When people win back time through AI, the default response is to simply do more work. On the surface, that sounds like a win. 

But the research tells a different story. When people fill recovered time with more cognitively demanding tasks, they experience greater mental load, not less. Over time, that compounds into something that looks a lot like burnout.

The antidote is clarity, and it needs to come from leadership. Organisations need to be explicit about what they want people to do with the time they recover. The options are genuinely exciting: more time for creative thinking and innovation, space to invest in learning, or the chance to actually recharge. 

A four-day working week might sound aspirational, but it becomes structurally possible when AI is genuinely reducing workload rather than just shifting it.

None of these outcomes happen by accident. They require HR leaders to design for them intentionally.

The opportunity for HR

It’s telling that only 1 in 4 Australian HR leaders feel fully equipped to meet their organisation’s leadership expectations around AI, according to ELMO’s 2026 HR Industry Benchmark Report. 

Closing that gap starts with understanding where your organisation actually stands. ELMO’s AI Maturity Assessment is a great place to start – it’s a five-minute tool built specifically for HR practitioners, measuring both readiness and effectiveness.

AI is one of the most significant shifts in how we work that any of us will experience in our careers. 

The organisations that will truly benefit are not the ones that roll it out fastest; they’re the ones that think carefully about what they want AI to enable and then build the strategy, culture, and clarity to make it happen. The three blind spots above aren’t technical problems. They’re human ones, which means they sit squarely in the domain of HR.

ELMO is the Complete AI Workforce Platform. Find out more here.

Dr Amantha Imber is the Founder of Inventium.ai and host of How I Work.