New Zealand AI Statistics 2026: Adoption, Productivity, Skills & Trust

If you want the short version: New Zealand is using AI more than most people realise, but we still have a serious skills and trust problem.

The useful thing about AI stats is not the hype. It is knowing where the real bottlenecks are. In New Zealand right now, the pattern is fairly consistent: usage is rising, business benefits are showing up, and confidence has not caught up.

New Zealand AI statistics: the headline numbers

• 67% of larger New Zealand businesses now use some form of AI, up from 48% in 2023. (MBIE citing Datacom, 2024)
• 82% of surveyed organisations report some level of AI use. (AI Forum NZ, 2025)
• 91% of Kiwi office workers use generative AI to some degree in their day-to-day role. (Robert Half NZ, 2025)
• 56% of Kiwi workers use generative AI regularly or almost every day. (Robert Half NZ, 2025)
• 91% of businesses using AI report efficiency improvements. (AI Forum NZ, 2025)
• 77% of organisations using AI say it has reduced operating costs. (AI Forum NZ, 2025)
• 50% of surveyed organisations cite positive financial impacts from AI. (AI Forum NZ, 2025)
• 55% of organisations say AI has created new career opportunities. (AI Forum NZ, 2025)
• 68% of NZ SMEs have no plans to evaluate or invest in AI technology. (MBIE citing NZIER/Spark, 2024)
• 97% of workers have heard of AI, but only 34% could clearly explain what it is. (MBIE citing Verian, 2024)
• Only 24% of New Zealanders have undertaken AI-related training or education. (KPMG NZ, 2025)
• Only 36% of New Zealanders believe they have the skills to use AI appropriately. (KPMG NZ, 2025)
• Only 44% of New Zealanders believe the benefits of AI outweigh the risks. (KPMG NZ, 2025)
• Only 23% think current safeguards are strong enough to make AI use safe. (KPMG NZ, 2025)
• Generative AI could add $76 billion per year to New Zealand’s economy by 2038, with an upside scenario of $102 billion. (Microsoft NZ / Accenture, 2024)
• Workers could save an average of 275 hours per year through generative AI adoption. (Microsoft NZ / Accenture, 2024)

1. Business adoption is real, but uneven

The strongest signal in the New Zealand data is not whether AI is happening. It is where it is happening first.

• Large businesses are moving faster: MBIE says 67% of larger NZ businesses now use some form of AI.
• Organisation-wide uptake is accelerating: the AI Forum’s latest productivity report says 82% of respondents report some level of AI use.
• SMEs are the laggards: MBIE also cites research showing 68% of SMEs had no plans to evaluate or invest in AI.

That split matters. It suggests New Zealand does not have an “AI awareness” problem so much as an AI implementation gap in the small-business end of the market.

2. Workers are often ahead of their organisations

One of the more interesting patterns in the NZ data is that worker-level use is often higher than formal business deployment.

• 91% of Kiwi office workers use generative AI to some degree in their role.
• 26% use it every day.
• 30% use it often or almost every day.
• 93% say they are transparent with their manager or employer about using it.
• 87% believe developing AI skills is necessary for career success.

That is a fairly loud signal: many Kiwi workers have already decided AI matters, even when their organisations are still figuring out policy, tooling, and governance.

3. Productivity gains are showing up in the numbers

New Zealand’s AI conversation often gets stuck at “Should we use it?” The more useful question is “What are the measurable benefits where it has already been adopted?”

• 91% of AI-using businesses report efficiency improvements.
• 77% report reduced operating costs.
• 50% cite positive financial impacts.
• More than a quarter of organisations in the AI Forum research reported annual benefits above $50,000.
• 75% now report AI setup costs under $5,000, showing the barrier to entry has dropped sharply.

The broad pattern is simple: AI is moving from experimentation to operational value. Not everywhere. But clearly enough that the “wait and see” stance is getting more expensive.

4. The macro upside is big

The Microsoft New Zealand / Accenture modelling is one of the most often-cited future-looking pieces of NZ AI research, and the percentages are chunky enough to matter.

• Generative AI could add $76 billion per year to the New Zealand economy by 2038.
• That is more than 15% of GDP.
• In an optimistic scenario, the upside rises to $102 billion per year.
• Workers could save 275 hours per year on average.
• 24% of tasks could be augmented by generative AI and 14% could be automated.

Forecasts should always be treated carefully. But even if you haircut those estimates heavily, the implied productivity upside is still too large to ignore.

5. Skills are the real choke point

If you only keep one group of NZ AI statistics in your head, make it these. They explain a lot.

• 97% of workers had heard of AI, but only 34% could clearly explain what it is.
• Only 24% of New Zealanders have undertaken AI-related training or education.
• Only 36% believe they have the skills to use AI appropriately.

That is the shape of the market right now: curiosity is high, competence is patchy, and formal upskilling is lagging behind usage.

In other words: the bottleneck is not access to tools. It is operator capability.

6. Trust is New Zealand’s weak point

The KPMG trust data is rough reading for anyone hoping New Zealand will glide into an AI-powered future on vibes alone.

• Only 44% of New Zealanders believe the benefits of AI outweigh the risks.
• Only 23% believe current safeguards are sufficient to make AI use safe.
• 81% believe AI regulation is required.
• 89% want laws and action to combat AI-generated misinformation.
• New Zealanders trail the global average in reporting AI benefits: 54% versus 73% globally.

This is the part many AI boosters skip past. New Zealand does not just need more AI use. It needs more credible, governed, explainable AI use.

7. What the NZ data really says

Put the numbers together and the picture is surprisingly coherent:

• Adoption is rising quickly, especially in larger organisations.
• Workers are already using AI heavily, often ahead of official business policy.
• The benefits are showing up in efficiency, cost reduction, and financial impact.
• The biggest drag is capability, not awareness.
• The biggest social friction is trust, not raw access to tools.

So the practical conclusion is not “everyone must become an AI company tomorrow.” It is this: if you run a NZ business or lead a team, you probably need to focus less on the tools themselves and more on three things:

1. Where AI creates measurable value in your workflow
2. How your people learn to use it well
3. How you handle privacy, safety, and governance without paralysis

Frequently asked questions

Sources

Every statistic on this page is grounded in a public source, so you can chase the primary material yourself:

• MBIE — New Zealand’s state of play
• MBIE — Addressing barriers to AI uptake in New Zealand
• AI Forum — AI in Action: Key Findings from New Zealand’s Third AI Productivity Report
• Microsoft NZ — Generative AI expected to more than double New Zealand’s productivity
• Robert Half NZ — New Zealand workers embrace Gen AI
• KPMG NZ — Trust, attitudes and use of artificial intelligence

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