AI in Creative Industries in Aotearoa New Zealand: A Living Whitepaper
Updated: April 2, 2026
Introduction
AI adoption in Aotearoa New Zealand’s creative industries has moved into a new phase since the last update on March 9, 2026. The biggest change is that the sector now has a stronger public baseline: on March 18, 2026, Manatū Taonga reported that seven in 10 creators use digital tools in their creative or cultural practice, and that 65% of those digital-tool-using creatives are using generative AI. Nearly half use it to support or refine ideas, around one in three use it to produce creative work, and 14% use it to share their creations more widely. (mch.govt.nz)
That new evidence matters because it shifts the conversation from anecdote to measurable adoption. The New Zealand picture is now clearer: AI is becoming normalised across parts of the creative economy, but uptake remains uneven, skills remain a constraint, and the strongest local consensus is still that AI should augment human creativity rather than replace it. (mch.govt.nz)
Executive Snapshot
- AI use is now measurable across New Zealand creators, not just headline organisations. The March 2026 Cultural Participation Survey is the clearest new signal that generative AI has entered mainstream creative practice, albeit unevenly. (mch.govt.nz)
- Adoption is strongest in digital, workflow-heavy segments such as journalism, screen post-production, marketing, and creative technology training. Public case studies remain much thinner in areas like games and some performing arts subsectors. (jmadresearch.com)
- Governance is maturing quickly. NZFC, RNZ, and TVNZ all now have explicit AI principles or guidance, and government has published both a national AI strategy and responsible AI guidance for business and the public service. (nzfilm.co.nz)
- Rights, provenance, disclosure, and Māori cultural integrity remain the decisive pressure points. This is most visible in music, screen, newsroom transparency, and privacy-related concerns around synthetic imagery and deepfakes. (apraamcos.co.nz)
- The capability gap is now a strategic issue. More than a third of creators who do not use digital tools cite lack of technological skills or knowledge as a barrier, while new training initiatives are emerging to respond. (mch.govt.nz)
What Changed Since the March 9, 2026 Update
- New official adoption data arrived. The March 18, 2026 Manatū Taonga release is the most important change since the prior edition, because it provides the first broad public indicator of generative AI use among New Zealand creatives themselves. (mch.govt.nz)
- Creative capability-building became more concrete. On March 4, 2026, NZIST highlighted the first cohort of the Creative Tech Accelerator at Te Puna Creative Hub, a 12-week programme teaching AI-enabled techniques for production-ready outcomes, co-designed with Microsoft and Seen Ventures and supported by MSD and Auckland Council. (nzist.ac.nz)
- Creative-industry AI convening is continuing into a third year. The AI and Creativity Summit 2026 is scheduled for May 5–6, 2026 in Auckland and Wellington, covering media, journalism, film, VFX, gaming, design, and creative technology, with explicit focus on trust, deepfakes, attribution, rights, and cultural perspectives including Sovereign AI. (aiforum.org.nz)
- TVNZ’s AI governance is now more explicit and more detailed publicly. Its current principles set rules across news, content, advertising, and platform recommendation systems, reinforcing disclosure and human oversight. (corporate.tvnz.co.nz)
- Privacy and synthetic imagery risk moved further up the agenda. On February 23, 2026, the Office of the Privacy Commissioner co-signed a joint statement on harms from AI-generated imagery, including non-consensual intimate imagery and risks to children and vulnerable groups. (privacy.org.nz)
Sector-by-Sector Overview
1) Screen, Film, TV and VFX
Screen remains the most structured creative-AI segment in New Zealand. NZFC’s AI principles remain the sector’s clearest formal framework: they are explicitly grounded in human creativity, cultural integrity, ethical responsibility, Te Tiriti, and Indigenous Cultural and Intellectual Property, and NZFC says it is operationalising them through practical measures such as AI-related questions in funding processes. (nzfilm.co.nz)
The economic importance of the screen sector makes this governance work consequential. NZFC’s Lights, Camera, Impact report says the screen industry contributed an estimated $1.1 billion to GDP in the year ending March 2025, with around 8,000 employees and 19,000 contractors. (nzfilm.co.nz)
Public evidence still points to a pragmatic production stance rather than a synthetic-content-first stance. In RNZ reporting from January 28, 2026, Wētā FX said the industry was grappling with AI, but described its intended use as helping with “drudgery” while leaving ideas and artwork to humans. (rnz.co.nz)
Assessment: Screen is still the national lead sector for creative AI governance: it has the clearest principles, the strongest public discussion of risk, and the most visible framing of AI as productivity support rather than authorship replacement. (nzfilm.co.nz)
2) Journalism and Publishing
Journalism remains one of New Zealand’s most advanced operational AI use cases. AUT’s 2026 JMAD baseline report found AI tools are widely used in day-to-day news and content production, with Stuff and NZME experimenting more widely than RNZ and TVNZ. The same report says all major newsrooms have published AI principles or ethics, but that transparency remains difficult because outlets do not always disclose exactly how AI is used in production. (jmadresearch.com)
The leading local case study is still Stuff’s Democracy.AI. Stuff’s tool scans council documents, drafts article elements, and helps regional reporters focus on higher-value journalism. In the Waikato Times pilot, digital subscriptions more than doubled and subscriber net promoter score rose 19 points; JMAD notes the tool won a 2025 global award and was linked to more local reporting output. (iab.org.nz)
At the trust level, the ceiling is still low. JMAD reports that only about 8% of New Zealanders are comfortable with news produced mostly by AI with some human oversight, while about 26% are comfortable when journalism is produced mainly by humans with AI assistance. (jmadresearch.com)
Public broadcasters remain more conservative. RNZ’s principles say it will generally not knowingly publish or broadcast generative-AI-created work, and RNZ created a dedicated Director of AI Strategy & Implementation role in 2025 to guide adoption within journalistic and ethical standards. TVNZ’s principles say AI supports but does not replace human editorial judgment, that meaningful editorial AI use should be disclosed, and that 1News does not use AI to generate new editorial news content. (rnz.co.nz)
Assessment: Journalism is New Zealand’s clearest example of “high utility, high sensitivity”: AI is already embedded in workflows, but audience trust and disclosure norms are still limiting how far newsrooms can push it. (jmadresearch.com)
3) Advertising, Marketing and Commercial Creative
Advertising and marketing continue to normalise AI through capability-building, service redesign, and new commercial offers. IAB New Zealand’s 2026 calendar includes AI-focused events in February, March, and April 2026, including The Future of Marketing & AI on March 5 and The Future of Creativity & AI on April 9, indicating that AI is now part of mainstream industry programming rather than niche experimentation. (iab.org.nz)
Agency-side integration is also becoming institutional. TBWA\i was launched as a dedicated AI practice embedded across strategy, creative, production, and service design, while Publicis Groupe Aotearoa’s Data Intelligence Hub includes generative AI and predictive modelling within a broader data and measurement offer. (campaignbrief.co.nz)
The commercial use case is also expanding beyond content generation into AI-era discoverability. In February 2026, Pead launched a service to help brands influence how they appear in AI-generated answers, showing that local communications work is already adapting to AI-mediated search and reputation environments. (campaignbrief.co.nz)
Assessment: In commercial creative, AI is moving from tool adoption to business-model adaptation. The frontier is no longer just making content faster; it is managing discoverability, measurement, and brand presence in AI-shaped channels. (iab.org.nz)
4) Music
Music remains highly engaged with AI, but mostly through a rights-and-remuneration lens. APRA AMCOS’ regional report says 54% of surveyed creators agree AI can assist the human creative process, while 82% worry AI could stop them making a living. It also estimates that by 2028, 23% of music creators’ revenues could be at risk. (apraamcos.co.nz)
The New Zealand dimension is especially strong around cultural integrity. APRA AMCOS’ media release says 76% of Māori members surveyed believe AI could increase cultural appropriation, and the organisation has urged stronger transparency, consent, and remuneration rules for AI providers using copyrighted works. (assets.apraamcos.co.nz)
Assessment: Music is still the sector where AI’s creative upside and legitimacy crisis are most tightly intertwined. Adoption exists, but public sector momentum is still dominated by training-data transparency, consent, and protection of cultural rights. (apraamcos.co.nz)
5) Games and Creative Technology
Publicly documented AI case studies in New Zealand games remain relatively thin. What is well evidenced is the sector’s growth and its adjacency to AI-enabled creative practice. NZGDA reported NZ$548 million in revenue for the 2023/24 year, up 26% year-on-year, and AI Forum’s 2026 summit continues to treat gaming as a core creative-AI domain. (nzgda.com)
The stronger public signal in 2026 is coming from creative-tech education pipelines rather than named studio deployments. The Creative Tech Accelerator demonstrates an emerging model for building AI capability through micro-credentials, creative hub partnerships, and applied projects. (nzist.ac.nz)
Assessment: The evidence base suggests games and creative tech are likely growth areas for AI in Aotearoa, but public documentation still trails the visible adoption seen in journalism, screen, and marketing. This is an inference from the current source base, not evidence of low activity. (nzgda.com)
Research and Policy Environment
The broader policy setting now explicitly supports AI uptake while relying on guidance and existing law more than sector-specific regulation. New Zealand’s national AI strategy, released in July 2025, frames AI adoption as a competitiveness and productivity priority, while Business.govt.nz guidance encourages firms to adopt AI responsibly and with trust-building safeguards. (beehive.govt.nz)
For the creative and cultural system specifically, Manatū Taonga’s Culture in the Digital Age briefing says New Zealand’s cultural system will be deeply intertwined with AI by 2040, and the document itself models disclosed, human-supervised AI use: the Ministry says AI was used to generate scenario images and help summarise source material, but not to write the briefing. (mch.govt.nz)
At the risk end of the spectrum, the legal and privacy environment is becoming more relevant to creative work. The Classification Office states that AI-generated content is treated the same as any other content under New Zealand law, and the Privacy Commissioner has publicly joined international concern over AI-generated imagery involving identifiable people without consent. (classificationoffice.govt.nz)
Key Trends
Trend 1: The conversation has shifted from anecdotes to baseline measurement
The March 2026 Manatū Taonga data is the first broad public evidence that generative AI use is already present across working creators, not only inside large media and agency organisations. (mch.govt.nz)
Trend 2: Workflow AI is still moving faster than synthetic end products
The strongest public examples remain document scanning, summarisation, transcription, recommendation systems, post-production support, and creative ideation rather than end-to-end automated creation. (iab.org.nz)
Trend 3: Human oversight is the dominant New Zealand governance norm
Across NZFC, RNZ, and TVNZ, the recurring pattern is human-first AI: disclose meaningful use, verify outputs, protect editorial integrity, and preserve human accountability. (nzfilm.co.nz)
Trend 4: Rights and provenance remain the hardest unresolved issues
Music and screen continue to foreground copyright, training-data transparency, consent, cultural appropriation, and Indigenous cultural and intellectual property. (apraamcos.co.nz)
Trend 5: Skills are becoming a structural bottleneck
The same official dataset that shows adoption also shows exclusion risk: more than a third of non-digital creators cite skills or knowledge barriers, while new training initiatives are being built to close the gap. (mch.govt.nz)
Trend 6: Trust and safety risks are no longer peripheral
Deepfakes, non-consensual synthetic imagery, and misleading AI-generated content are now part of the live operating environment for creative and media organisations in Aotearoa. (privacy.org.nz)
Conclusion
AI adoption in Aotearoa New Zealand’s creative industries is now firmly established, but it is still uneven, contested, and highly shaped by sector-specific norms. Since the March 9, 2026 edition, the most important development is that adoption is no longer just visible through case studies; it is now supported by an official cultural-sector survey showing that generative AI has entered mainstream creative practice among digital-tool-using creators. (mch.govt.nz)
The sector’s current state can be summarised simply:
- Adoption is broadening. (mch.govt.nz)
- Governance is thickening around human-first use, disclosure, and responsibility. (nzfilm.co.nz)
- The hardest issues are now rights, trust, skills, and cultural integrity rather than basic awareness. (assets.apraamcos.co.nz)
The near-term outlook is that AI will keep spreading where it helps smaller teams do more, speeds up repetitive work, improves discoverability, or lowers barriers to production. But the organisations and subsectors most likely to lead sustainably will be those that combine experimentation with transparent practice, strong rights management, and an Aotearoa-specific approach to Te Tiriti, Māori cultural integrity, and human creativity. (nzist.ac.nz)