Dayforce News & Culture
June 4, 2026

7 lessons on AI and workforce transformation from the Dayforce Summit Sydney

There’s no playbook for leading workforce transformation through the level of change and complexity organisations are facing right now. That’s what brought a record crowd to the Dayforce Summit in Sydney this year, with leaders looking to learn from others figuring it out in real time. Here are seven practical lessons from the day.

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 There isn't an industry or organisation that hasn't been touched by what's happening right now. AI is reshaping work while economic pressures, growing compliance demands, and geopolitical instability continue to add complexity. Leaders are no longer looking for a blueprint because one simply doesn't exist.

What they are looking for are practical lessons and honest conversations with leaders facing the same challenges. So, we brought together leaders navigating workforce transformation every day and asked them to share what’s working, what isn’t, and what the rest of us can learn from it.

1. Success can be the biggest blind spot in the room

Dom Price, Work Futurist and Author, opened with a warning that felt relevant to everyone in the room. He pointed to examples such as Blockbuster and BlackBerry to illustrate how quickly industries can change when organisations assume past success will continue to protect them. But as Dom put it: "They had everything until they didn't."

The trap of believing you’re too big to fail is seductive. But with the way we work changing so quickly, it’s also more dangerous than ever. His challenge to the room was to stay genuinely open, even when things are going well. "Argue like you're right, listen like you're wrong," he shared. “Back yourself and your ideas, but then go quiet and really hear what comes back.”

2. Conviction is what gets the green light for transformation

While Dom warned against the danger of too much confidence, Mark Souter, Director HR AI Value Advisory, Asia Pacific and Japan at Dayforce, made the case for why too little can be equally damaging when it comes to getting your business case approved.

With boards and executive teams constantly weighing competing priorities, a business case delivered with energy and belief stands a better chance than one that plays it safe.

"Getting a business case approved often comes down to prioritisation,” he said. “Whoever is approving this in your organisation likely has a range of other projects they're considering, so conviction plays a really important part. You need to be influential and bring other people along the transformation."

3. Change stopped being a project and became part of the job

Sonia Lynch, HR Director, Dayforce, framed the new reality of the workplace simply: "There is so much change upon change upon change, that it's become business as usual."

What makes this difficult is both the volume of change and the overlap across an organisation. Multiple changes happening simultaneously mean some groups of people are absorbing several sources of disruption at once — from new technologies and workflows to compliance requirements and operational changes.

The answer, Sonia argued, is building robust change governance into how organisations operate. "If you know there are multiple changes coming at the same time and affecting a particular group of people, they will need help working through that transition,” she shared. “The key is to have a clear process to support the people most affected by change."

4. Transparency beats surprise

Mark Bateson, APAC Dayforce Partner at Deloitte, shared how organisations often wait too long to explain what’s changing and why. "There needs to be a level of transparency on what's happening, why it's happening, and what it means for people much earlier," he said.

Too often, communication starts once the work is already well underway. But by then, people have already started filling the gaps with their own assumptions.

Bateson argued that transformation works best when people understand why it's happening and what the outcome should be. "Sometimes, people might not like it, but at least they understand it and can understand the reasons why, which makes uncertainty a little easier to manage."

5. Don’t automate your way back to average

Dom shared a mistake he sees many organisations making when implementing AI. "If you're using AI to fix existing pain points and go back to baseline, you don't actually make things better — you just make bad things happen faster," he said. Before any AI investment, the question worth asking is whether the process itself is actually worth accelerating.

He argued that speed and cost reduction alone aren’t enough. The organisations that thrive will be those that use automation and AI to create net-new value by driving efficiencies and reinvesting that capacity into new opportunities.

Before any AI investment, the question worth asking is whether the process itself is actually worth accelerating.

6. Start with the work, not the technology

Sonia warned against AI-washing, which is the tendency for organisations to claim transformation benefits before real value exists. The antidote, she argued, is to approach AI from a task - and job-design orientation rather than a technology orientation.

"What tasks encompass a role? What can be automated, what can be augmented, and where is the opportunity for people to create and innovate?” she said. “That's how we're approaching it at Dayforce, and it's an approach I think is one of the best ways forward."

"What tasks encompass a role? What can be automated, what can be augmented, and where is the opportunity for people to create and innovate?” she said. “That's how we're approaching it at Dayforce, and it's an approach I think is one of the best ways forward."

7. FOMO is not a transformation strategy

Kevin Louey, CEO at Strategy Assist, shared a common theme he’s seen across many transformation conversations, particularly around AI. "When talking to clients about AI, we often find there is an overestimation of what AI can do and also, a real fear of missing out."

The urgency to move is understandable. But moving quickly without the right foundations creates its own risks, particularly when operational and data foundations aren’t where they need to be. "AI is fundamentally run by data. If your data sets and data structures aren't clean or structured properly, that can become a real issue," he said.

Adam Smith, Co-Founder and Director of HR Transformation at Renofy, reinforced the importance of understanding where your organisation truly stands before deciding where it wants to go. "I think a lot of businesses, when they go through this journey, don't know what they don't know — and they're always surprised by how little they understand about their business," he said. “If the business is honest about itself upfront about this, then it's a really good foundation on which to build any transformation.”

The future of work won’t be built on certainty

If there was a common thread across the day, it was that leaders are learning to navigate uncertainty while recognising that no one has all the answers.

The organisations that thrive will be the ones that stay curious, build conviction, bring people with them, and make deliberate choices about how transformation creates real value. In an environment where the playbook is still being written, progress will belong to those willing to keep learning as they go.

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