Every business now has access to roughly the same AI tools. That's not where the advantage will come from.
At a recent Tribe Executive roundtable, we brought together Chief People Officers and senior leaders from across New Zealand's largest employers, in banking, retail, telecommunications, insurance, and the public sector, to talk honestly about what AI is actually doing to their organisations.
The conversation kept circling back to one idea: assuming the technology works and becomes affordable within the next two to three years (and there's good reason to think it will), the businesses that win won't be the ones with the flashiest AI stack. They'll be the ones that redesign how work actually gets done.
That distinction matters more than it sounds.
Adoption without redesign doesn't work
Several leaders in the room pushed back on the idea that AI adoption is straightforward. For lower-margin, high-volume retailers in particular, the barriers are practical: pace, governance, cost, and knowing what to prioritise first. One retail leader put New Zealand's frontier gap plainly - our businesses are running 18 to 24 months behind the true frontier of AI adoption globally.
The advice that came out of the room was blunt: don't do AI for AI's sake. Adopt it where it makes money, or don't bother.
That advice was backed by a striking data point from the tech sector. One bank's engineering team, an early mover on AI coding tools, found their developers were producing roughly ten times more code, with better accuracy. But the gain wasn't automatic. Teams that redesigned their workflow around AI saw the step change, while teams that simply bolted AI onto their existing process weren't meaningfully faster, and shipped more bugs.
What was being described wasn't "use a new tool." It was moving from coder to orchestrator, and that's a materially different job, and it's not one most people slide into without support.
The upside is real, and it's concentrated
One uncomfortable truth surfaced more than once: the exponential gains from AI aren't spread evenly across a workforce. They're concentrated in roughly the top 10 percent of performers, the people who adopt a "builder mindset" and treat extra capacity as room to create more value, rather than just doing the same job faster.
That raises a genuine talent strategy question for CPOs. If the productivity curve is that skewed, how do you develop the other 90 percent, and how do you avoid a two-tier workforce forming inside your own organisation?
For some roles, that shift is proving harder than others. One insurance leader described the difficulty of moving people out of manual, task-based work into relationship-led customer roles inside a 12 - 18 month window. The tools might be ready, but people, understandably, take longer.
There was a genuine philosophical choice made by at least one executive team in the room: use AI to grow and augment roles, not to cut headcount. Leaders in the room were candid that this decision, made early and communicated honestly, changed how open their people were to everything that followed.
Governance is inconsistent, and that's a leadership gap
Board-level appetite for AI varies enormously, even within a single sector. Some boards have effectively banned use. Others are actively experimenting. The banking sector alone showed leaders the full range, sitting on the same regulatory playing field.
One financial services business shared what a mature rollout can look like in practice: near-universal daily adoption of Microsoft 365 Copilot (98 percent), used for work and, tellingly, personal tasks like planning leave. That level of comfort doesn't happen by accident, it comes from a deliberate tiered governance model, matching the level of oversight to data sensitivity and task complexity, plus active, ongoing enablement rather than a one-off training day.
The demographic pressure CPOs can't ignore
AI adoption isn't happening in a vacuum. It's landing on top of a workforce that's ageing, and a birth population that's shifting decisively toward Asian, Māori, and Pacific communities, with the European share continuing to decline. The only youth population currently growing in New Zealand is Māori and Pākehā.
That has real implications for how CPOs think about training, retention, and culture, particularly given the cultural differences in how work is approached, more relational and people-focused in Māori and Pacific contexts, more transactional and efficiency-driven in some Asian business cultures. Neither is right or wrong - both need to be designed for, not assumed away.
There's a genuine bright spot here too: leaders pointed to real curiosity and optimism about AI within Pasifika communities specifically, seen as a tool that could be turned toward community benefit rather than a threat. That's worth building on, particularly given the disproportionately high NEET (not in education, employment, or training) rates among Māori and Pacific youth that the same demographic data is flagging as a risk.
Where this leaves CPOs
The clearest message from the room wasn't about technology at all. It was about honesty.
People can tell the difference between authentic optimism and a script. Leaders who are upfront about where AI is heading, including the uncomfortable parts, earn more trust than those who oversell a "no jobs will be affected" line everyone already suspects isn't quite true. One leader was candid that Western economies could plausibly see unemployment in the 10 to 15 percent range as this plays out, and that repurposing and upskilling at scale, not denial, is the only credible response.
For CPOs, that puts AI squarely inside the people strategy, not alongside it as a side project owned by IT. The organisations getting this right are the ones where the CPO and CIO are making these calls together, where the "why" of the business strategy is clear enough that people can see where AI fits, and where experimentation is genuinely allowed room to happen inside a risk framework that doesn't strangle it.
The tools will keep getting better and cheaper - that part isn't in question. What's still very much up for grabs is which organisations redesign the work around them fast enough to matter, and whether they bring their people with them while they do it.
Tribe Executive works with New Zealand organisations navigating exactly this shift, connecting the right talent and thinking to teams redesigning how work gets done.
If you'd like to talk through what this means for your workforce with James, or any of the Tribe Executive team., please get in touch. With offices in Auckland and Wellington and placing roles throughout New Zealand, we'll help you Find Your People