Kiwi workers are using A.I. they don't trust. For HR leaders, that gap is the whole problem.

New Zealand has a productivity problem that predates artificial intelligence by several decades. Labour productivity growth has averaged just 0.5 per cent annually over the past ten years - below the OECD regional average of 0.9 per cent, and far behind the United States, which recorded 1.6 per cent growth in 2023 alone. The Treasury has been revising its productivity forecasts downward. The OECD has noted that New Zealand's labour productivity gap relative to the top half of developed economies has widened, not narrowed, from 34 per cent in 1996 to around 40 per cent today.

Into that context arrives artificial intelligence - widely identified as the most significant productivity lever available to New Zealand employers in a generation. And into that context also arrives a finding that should give every HR leader in Aotearoa pause.

A major new Quinnipiac University poll of nearly 1,400 Americans - whose workplace attitudes increasingly reflect those of workers in comparable economies including New Zealand - found that 55 per cent of respondents believe A.I. will do more harm than good in their daily lives. Eighty per cent say they are concerned. Seventy per cent believe A.I. will reduce job opportunities. And only 21 per cent say they trust what the technology produces most or almost all of the time.

These are not the sentiments of a workforce refusing to engage. They are the sentiments of a workforce adopting a technology it neither fully trusts nor feels anyone is managing on its behalf. And in New Zealand, where local surveys show 84 per cent of knowledge workers are already using generative A.I. tools, and where only 47 per cent of employers currently encourage staff to use A.I. at work, the gap between adoption and governance is, if anything, wider than in the United States.

For New Zealand's HR leaders, closing that gap is not just a cultural nicety. It is the productivity agenda.

The A.I. paradox is already playing out here

New Zealand has its own version of the trust problem the Quinnipiac data describes. A 2025 survey of over 1,000 New Zealand technology professionals found what researchers called an "A.I. Paradox": adoption of A.I. tools is now mainstream in the sector, yet it is coupled with significant unease. Job security has become the top source of workplace stress - overtaking overwork, which dominated the 2024 picture. The narrative has shifted from "I'm being asked to do too much" to "I'm worried whether I'll have a job at all."

That is a meaningfully different problem for HR leaders to manage. Workers under workload stress can be helped with resourcing, flexible arrangements, and better work design. Workers under existential uncertainty about whether their role will exist need something different: specific, credible, honest communication about how their organisation is using A.I., how their role is evolving, and what investment the organisation is making in their capability to adapt.

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The Quinnipiac data quantifies what happens when that communication is absent. Seventy-six per cent of American workers say businesses are not doing enough to be transparent about how they use A.I. There is no reason to believe New Zealand workers are more satisfied on this measure - and considerable local evidence to suggest they are similarly concerned.

The productivity imperative is acute

Elsewhere in the world, A.I. adoption is being discussed as an opportunity. In New Zealand, given the depth of the productivity challenge, it is closer to a necessity.

The Treasury's incoming Secretary noted in December 2024 that sustained productivity growth is essential to fund superannuation over the next 25 years without the trajectory of government debt becoming untenable. The New Zealand Productivity Commission has documented that frontier firms - the top performers within each industry - are not pulling away from the rest of the pack the way they do in comparable economies. In New Zealand, the dispersion of productivity performance across firms is flat or declining, which suggests that even leading organisations are not sustaining the innovation and investment intensity that drives long-run productivity growth.

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A.I. has the potential to change that picture. EY-Parthenon estimates A.I. could lift economy-wide labour productivity by 1.5 to three per cent over the next decade globally, with the largest gains concentrated in financial services, professional services, consulting and legal - sectors that make up a significant share of New Zealand's higher-value employment base. SAP's 2025 Future of Work research found workers are already saving an average of 75 minutes a day through A.I. tools. New Zealand's own data is striking: 93 per cent of New Zealand firms report improved worker productivity from A.I., a figure that outpaces global averages by a wide margin.

But productivity gains from A.I. are not delivered by the technology. They are delivered by workers who use A.I. well - consistently, critically, and with enough confidence to integrate it into how they actually work rather than using it superficially or avoiding it entirely. And that requires something that is currently in short supply: trust.

The Gen Z inversion - and what it means for New Zealand talent

The Quinnipiac data contains a finding that directly contradicts one of the most comfortable assumptions in New Zealand HR: that younger workers are natural A.I. advocates who will drive adoption from below while experienced colleagues need to be brought along.

Among Gen Z respondents - those born between 1997 and 2008, now beginning their careers - 81 per cent believe A.I. will lead to a decrease in job opportunities. That is the highest figure of any generation, and it is 15 points above baby boomers. Gen Z is simultaneously the cohort with the highest A.I. fluency and the deepest pessimism about what that fluency will mean for their futures.

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This matters acutely in a New Zealand context. Brain drain has been a persistent concern for New Zealand employers, with significant numbers of skilled workers - particularly in technology - leaving for Australian and offshore markets. The Younity IT survey noted in late 2025 that many experienced professionals had already left New Zealand, reducing the domestic skills base. If the cohort now entering the workforce believes A.I. will erode their career prospects - and they are not receiving credible reassurance from employers - the incentive to seek opportunities in deeper, larger labour markets only strengthens.

For HR leaders managing early-career pipelines in New Zealand's already tight talent environment, the Gen Z pessimism finding is not an abstraction. It is a retention and attraction risk that needs a specific response: not vague reassurance about "humans and A.I. working together," but concrete visibility into how roles are evolving, what skills the organisation is committed to developing, and what a career trajectory actually looks like in an A.I.-augmented organisation.

The Employment Relations Act dimension

Eighty per cent of Quinnipiac respondents said they would be unwilling to hold a job where their direct supervisor was an A.I. program that assigned their tasks and set their schedule. That figure was consistent across every generation. Even among Gen Z - the most A.I.-fluent cohort - 82 per cent said they would be unwilling.

In New Zealand, that finding has a specific legal dimension. The Employment Relations Act 2000 requires good faith between employers and employees, including the obligation to be active and communicative in dealing with matters affecting the employment relationship. The deployment of A.I. tools that materially alter how work is assigned, how performance is monitored, or how decisions about workers are made is precisely the kind of change that good faith obligations are designed to address - whether or not most organisations have thought of it in those terms.

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The parallel finding on medical A.I. sharpens the point. When told that an A.I. tool had been proven more accurate than a human at reading medical scans, 81 per cent of respondents still said they would want a combination of A.I. and human input. Only three per cent said A.I. alone. The desire for human oversight persists even when A.I. superiority is stipulated. Workers will accept A.I. as a tool. They will not accept it as an authority.

For New Zealand HR leaders deploying A.I.-assisted tools in performance management, rostering, hiring or capability assessment, the implication is clear: genuine human oversight - visible, meaningful and not merely nominal - is not optional. It is what your workforce and your legal obligations require.

The transparency gap New Zealand employers need to close

Seventy-six per cent of Quinnipiac respondents said businesses are not doing enough to be transparent about how they use A.I. In New Zealand, the regulatory direction on this is already clear. The Privacy Act 2020 and the Office of the Privacy Commissioner's developing guidance on automated decision-making create an expectation that individuals affected by A.I.-informed decisions about them have access to meaningful information about how those decisions are made. The government's Public Service A.I. Framework - which recorded 272 A.I. use cases across 70 agencies in 2025, more than double the previous year - signals that transparency about A.I. use is becoming a baseline expectation, not a leading practice.

For private sector HR leaders, the question is whether to lead or follow on this. The organisations that communicate specifically - which A.I. tools are in use, what decisions they inform, what human oversight exists, and what recourse employees have - will be better positioned both with their workforce and with regulators than those that issue generic statements about responsible A.I. and hope for the best.

What New Zealand HR leaders should do now

Invest in A.I. literacy, not just A.I. access. New Zealand data shows 76 per cent of workers have had no A.I. training. Adoption is rising without it - but untrained usage produces exactly the low-trust, inconsistent outcomes that fail to deliver productivity gains. Organisations that build critical A.I. judgment - knowing when to trust, when to verify, when to override - will outperform those that simply deploy tools and hope for the best.

Address the Gen Z pessimism directly. In a small labour market where brain drain is a structural risk, your early-career employees need specific and credible answers to the question: what does my career look like in this organisation in five years? The answer cannot be vague. It needs to address how their role is changing, what skills the organisation is committed to developing in them, and what genuine opportunity looks like on the other side of A.I. adoption.

Audit your A.I.-in-people-processes footprint for Employment Relations Act exposure. Map every point where A.I. tools are informing decisions about your workforce - rostering, performance assessment, hiring, development, remuneration - and assess whether your good faith obligations have been met. Where the human role is absent or nominal, you carry legal as well as cultural risk.

Get ahead of the Privacy Act trajectory on automated decision-making. The Privacy Commissioner's focus on A.I. and personal information is intensifying. Organisations that have already documented their A.I. use in people processes, established access and redress mechanisms, and communicated these to employees will face significantly less disruption when regulatory expectations harden.

New Zealand's productivity gap is real, persistent, and - according to the Treasury's own projections - getting worse. Artificial intelligence is the most credible mechanism available to reverse it. But the Quinnipiac data, read alongside New Zealand's own survey evidence, describes a workforce that is adopting A.I. under conditions of low trust, high anxiety, and insufficient organisational support.

Closing that gap - building the trust, literacy, transparency and career clarity that turns anxious adoption into genuine productivity - is the defining HR challenge for Aotearoa in 2026. The organisations that treat it as such will have a material advantage. Those that do not will be explaining underperformance to their boards for years to come.