Artificial Intelligence: Shaping a Future New Zealand
This report analyses the potential impact and opportunities of artificial intelligence on New Zealand's society and economy. It provides an overview of the domestic AI landscape, economic modelling of AI adoption across 18 industries, and societal implications including education, health, and ethics. Finally, it sets out six core themes and practical recommendations for government and industry to ensure New Zealand builds a coordinated strategy for AI.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
New Zealand business leaders, policymakers, researchers, and government officials seeking guidance on navigating the opportunities and challenges of artificial intelligence.
What the document contains
The report covers the domestic AI ecosystem map, international AI strategies, economic benefits and labor market impacts through industry modelling, societal applications in education, health, and the environment, and policy considerations including bias, transparency, accountability, and copyright law.
Binding regulatory enforcement mechanisms, specific legislative statutes, and concrete implementation timelines for government adoption.
- Artificial intelligence has the potential to increase New Zealand's GDP by up to $54 billion by 2035 through labour efficiencies.
- New Zealand currently lacks a coordinated national AI strategy compared to other developed nations.
- Widespread AI adoption will take 10-20 years, and while it will disrupt jobs, it will not lead to mass unemployment.
- Businesses and government leaders exhibit low awareness and low board-level discussion regarding AI.
- New Zealand must address challenges around data accessibility, talent shortages, copyright law, and ethical implications.
· Introduction: The New Zealand AI Impacts Research Project · Part One: The AI Landscape · Part Two: AI and the Economy · Part Three: AI and Society · Part Four: Where to From Here?
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
3/5Clear responsibility for AI outcomes
As AI becomes increasingly widespread, a strong culture of accountability is required. Who will be answerable, culpable, liable and ultimately responsible, should anything go wrong?
Implications of AI
screening score · 2026-10-24
Fairness
3/5Non-discrimination and equitable treatment
Our research found that 68% of respondents were concerned about the potential for AI to make biased, unfair or inaccurate decisions.
AI and Society
screening score · 2026-10-24
Human Dignity
1/5Respect for the inherent worth of persons
AIFNZ also supports the ongoing discussion of practical ethical and legal principles to safeguard the rights and ambitions of all New Zealanders
Introduction: AI Forum of New Zealand
screening score · 2026-10-24
Human Oversight
3/5Humans remain in control of consequential decisions
The campaign calls on all states to: • Commit to negotiate a legally-binding ban treaty without delay to determine how and where to draw the boundaries of future autonomy in weapon systems; • Specify the necessary human control required
Implications of AI
screening score · 2026-10-24
Privacy
3/5Protection of personal data and private life
Privacy concerns remain paramount with the ongoing challenge of balancing the privacy of patient data with the opportunities for radically improved health outcomes.
AI and Health
screening score · 2026-10-24
Transparency
3/5Openness about how AI systems work and are used
To develop trust in AI, there needs to be transparency, especially with AI in public services.
AI Bias, Fairness and Transparency
screening score · 2026-10-24
Enforcement
1/5Consequences and compliance mechanisms with real force
Currently, there are no laws requiring the developer of an AI system to design the system so it can explain its decisions.
Implications of AI
screening score · 2026-10-24
Impact Assessment
3/5Required assessment of an AI system's risks/impacts before or during use
Algorithmic transparency and ethics should be deeply considered in the design and delivery of all publicly funded use of AI
Where to from here?
screening score · 2026-10-24