High stakes AI decisions are being made too quickly and without enough challenge or diverse input

As Chief People Officer at a data, analytics and AI consultancy, the impact of AI on our workforce and on how our organisation will operate into the future, is constantly on my mind.

From my office window in the heart of Sydney, I can glimpse many other high rises, housing hundreds of different organisations and I know that within each organisation, there are people making decisions about AI.

Sadly, not all of those organisations are making the right decisions and the human impact of this is far-reaching.

AI is moving faster than humans can keep up and organisations are panicking. They feel pressure to move fast - to stay profitable, win new clients and outpace competitors. They're not wrong. But too often, decisions are rushed, and mistakes follow.

There's so much we could talk about, but people are the heart of any organisation and fostering, developing and helping a workforce reach its full potential is what I'm passionate about, so it's the lens through which I want to talk about AI today.

The cost of moving too quickly  

Over the past six months we have already seen the consequences of rushed decisions. Organisations have cut roles, assuming AI will replace them, and focused on short-term cost savings. This is short-sighted. AI should be used to augment people, not simply replace them. Investing in capability and supporting people to adapt is not optional - it's a responsibility.

The stakes are high because AI doesn't just support decisions - it scales them. When decisions are flawed, that scale amplifies the impact across an entire organisation.

This puts more responsibility on leaders than ever before. 

Accountability doesn't disappear

AI systems don't remove human accountability. Leaders are responsible for what gets built, how it's used and the outcomes it produces. That responsibility can't be delegated to technology. It sits firmly with those making the decisions. 

But accountability isn't just about oversight - it's about governance. 

AI adoption is fundamentally a leadership challenge, not a technology one. It can't sit solely with IT or HR. It requires shared responsibility across executive teams and boards.

The organisations that navigate this well will be those that treat AI as a collective leadership issue, not a siloed initiative. 

Why diversity matters in an AI world

The real risk with AI isn't just the technology, it's how decisions are made. Now, how decisions are made, and whose perspectives shape them, matters more than ever.

When leadership teams lack diversity, decision-making becomes narrow. That has always been a risk, but with AI, those patterns can now be reinforced at scale.

This shows up in many ways. For example, in hiring and workforce decisions, models trained on historical data may favour traditional career paths, leadership styles or experiences that have been more common in male-dominated environments. But the risk extends well beyond recruitment to how organisations define performance, allocate opportunities, assess risk and even prioritise customers.

Without diverse perspectives involved in designing and challenging these systems, the patterns don't just persist, they scale. 

Research consistently shows a strong link between gender diversity in leadership and better financial performance. Organisations with more diverse leadership teams are not just more profitable - they also benefit from stronger decision-making, greater innovation and a higher capacity to respond to economic uncertainty. 

The real risk for organisations  

The cost of getting this wrong is both financial and reputational. Organisations risk making poorer decisions at scale - hiring the wrong people, overlooking high-potential talent or missing key customer segments. Over time, this affects productivity, growth and competitiveness.

At the same time, trust is at stake. If AI-driven decisions are seen as unfair or biased, particularly in areas like hiring or performance, the impact on employer brand and customer confidence can be immediate.

Designing better decisions

Encouragingly, some organisations are starting to approach this more deliberately. They are building diverse teams around AI decision-making, creating space for challenge, and ensuring input from across levels and disciplines./

Better decisions don't come from moving faster. They come from thinking more carefully about who is in the room, who is being heard, and how decisions are being made.