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AI in Creative Industries in Aotearoa New Zealand: A Living Whitepaper

Updated: July 13, 2026

Introduction

AI adoption in Aotearoa New Zealand’s creative industries continues to deepen, but the shape of that adoption is becoming clearer. In the public sources reviewed through July 13, 2026, the strongest sector-wide baseline still remains Manatū Taonga’s March 18, 2026 Cultural Participation release: 70% of creators use digital tools in their creative or cultural practice, and 65% of those digital-tool users use 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 work more widely. (mch.govt.nz)

What has changed since the previous update on June 10, 2026 is not the basic direction of travel, but the level of institutionalisation. AI is now being absorbed into funding rules, broadcaster principles, creator guidance, commercial workflows, and emerging copyright debates. New July data from NZ On Air also shows that the games sector’s economic scale has strengthened again, reinforcing the importance of AI-capable creative-tech infrastructure even where studio-level AI use remains under-documented publicly. (nzonair.govt.nz)

The strategic reading is now sharper: AI in New Zealand’s creative economy is no longer mainly a question of experimentation. It is increasingly a question of governed adoption — who can use AI productively while maintaining audience trust, human accountability, cultural legitimacy, and creator rights. (media.one.nz)

Executive Snapshot

  • The best public adoption baseline is still broad and creator-led. Manatū Taonga’s latest survey shows seven in 10 creators use digital tools, and 65% of those digital-tool users already use generative AI. (mch.govt.nz)
  • The most mature New Zealand use cases remain workflow-first rather than fully synthetic-output-first. Public examples are concentrated in research, summarisation, transcription, accessibility, recommendation, moderation, document scanning, and creative ideation support. (jmadresearch.com)
  • Governance has thickened further since June. NZFC now asks applicants to disclose proposed AI use in funding applications and assess it against cultural authenticity, creative integrity, transparency, and legal/ethical impact. NZ On Air and Creative New Zealand also maintain explicit AI guidance for funded creators and applicants. (nzfilm.co.nz)
  • Trust remains the main constraint on visible deployment. One NZ’s AI Trust Report 2026 found 62% of New Zealanders would stop using a product or service if concerned about how AI was being used, and 68% say a human option would increase their comfort. In news specifically, AUT/JMAD reports only about 8% are comfortable with news produced mainly by AI with human oversight, while around 26% are comfortable when humans lead and AI assists. (media.one.nz)
  • Rights, consent, likeness, and Māori cultural integrity remain the hardest unresolved issues. This is now visible across music, screen funding, broadcaster policy, and sector advocacy on deepfakes and copyright. (apraamcos.co.nz)
  • Commercial creative is moving fastest toward AI-shaped discoverability. New Zealand marketing bodies are now framing the issue not just as content generation, but as how brands and media are surfaced inside AI answers, search, and agent-mediated discovery. (marketing.org.nz)
  • Games and creative tech remain the strongest growth frontier. On July 8, 2026, NZ On Air reported $829 million combined studio revenue across 2026 GDSR recipients, 194 games in development, and 43 recipient studios, with 98% of revenue export-based. (nzonair.govt.nz)

What Changed Since the June 10, 2026 Update

  • Games-sector economics strengthened again. NZ On Air’s July 8, 2026 GDSR release lifted the public baseline from last month’s figures: recipient studios now report $829 million combined revenue, up 17% year on year, with studios rising from 40 to 43 and games in development from 170 to 194. (nzonair.govt.nz)
  • NZFC moved AI governance deeper into production funding practice. June 2026 NZFC funding guidelines now explicitly require applicants to outline proposed AI use and address cultural authenticity, creative integrity, transparency, and ethical/industry impact. (nzfilm.co.nz)
  • Copyright and AI moved closer to formal policy treatment. On June 3, 2026, the Government said Cabinet had invited the Commerce and Consumer Affairs Minister to report back by March 31, 2027 on a possible copyright framework for generative AI in New Zealand. (beehive.govt.nz)
  • Music-rights pressure intensified. On June 19, 2026, APRA AMCOS highlighted a new investigation reporting that Australian and New Zealand songs were present in leaked AI training datasets, pushing the debate from abstract concern toward documented dataset exposure. (apraamcos.co.nz)
  • Commercial case studies became more concrete. Public event and industry materials now present Trade Me as a visible local example of AI-first or AI-native marketing workflows across planning, creative, optimisation, and reporting. (braze.com)

Sector Overview

1) Journalism and Publishing

Journalism remains New Zealand’s clearest evidence base for day-to-day operational AI use in a creative industry. AUT’s 2026 JMAD baseline says AI tools are widely used in everyday news and content production, with commercial outlets Stuff and NZME experimenting more widely than RNZ and TVNZ. The report also finds that all major newsrooms now have AI principles or ethics, but that transparency about exact production use remains uneven. (jmadresearch.com)

Public case studies are unusually specific:

  • Stuff’s Democracy.AI helps Waikato Times journalists scan public documents such as local council minutes. JMAD says it helped generate more local stories and supported the Ratepayers’ Roundup subscription section, with digital subscriptions more than doubling during the pilot period. (jmadresearch.com)
  • NZME’s Bidi enables BusinessDesk to rewrite and publish NZX announcement stories in about 30 seconds, freeing journalists for higher-value work. (jmadresearch.com)
  • NZ Herald’s Polaris homepage system reportedly cut homepage curation time and lifted click-through rates by 15%. (jmadresearch.com)
  • BusinessDesk’s Today in Business used AI to draft and voice a podcast based on journalist-created and edited articles, with layered AI checking and final human editorial review before publication. (jmadresearch.com)

Public-service broadcasters remain more conservative. RNZ’s published principles say it generally will not knowingly publish or broadcast generative-AI-created material, while permitting assistive uses such as research, brainstorming, summarisation, administration, and transformation of already-created content. TVNZ’s March 2026 principles likewise emphasise human-first use, validation of outputs, risk assessment, and disclosure where editorial integrity or audience trust may be affected. (rnz.co.nz)

Trust still caps how far automation can go. AUT’s 2026 Trust in News report says general trust in news improved to 37%, but discomfort with news mostly produced by AI remained around 60%. JMAD’s AI report similarly shows only about 8% are comfortable with AI-produced news with some human oversight, versus about 26% when humans remain primary and AI is assistive. (aut.ac.nz)

2) Screen, Film, TV and VFX

Screen remains New Zealand’s governance lead sector for creative AI. NZFC’s AI Guiding Principles put human talent, creativity, culture, Te Tiriti, and Indigenous Cultural and Intellectual Property at the centre, while also acknowledging productivity and efficiency gains from appropriate AI use. (nzfilm.co.nz)

The most important June-July shift is procedural rather than rhetorical: NZFC’s June 2026 funding guidelines now ask applicants to disclose AI use and say assessment will consider:

  • cultural authenticity, including respect for te ao Māori and mātauranga Māori,
  • creative integrity,
  • transparency to NZFC and audiences,
  • and ethical implications and broader sector impact. (nzfilm.co.nz)

That is a meaningful step forward. It means screen-sector AI governance in Aotearoa is no longer only principle-based; it is now part of how projects are evaluated for support. (nzfilm.co.nz)

Experimentation is also becoming more visible at entry and independent levels. The Aotearoa 1 Minute AI Film Festival 2026 ran on May 5, 2026, and FutureFrames:NZ launched as a nationwide hybrid AI short film competition supported by NZFC and NZ On Air, signalling a more organised experimentation layer around AI filmmaking. (filmfreeway.com)

The forward-looking infrastructure signal is Wētā FX’s involvement in the proposed Aotearoa Creative Artificial Intelligence Research Institute, one of the concepts selected for further development under the national AI Research Platform. Its proposed focus includes computer vision, generative models, digital twins, physically plausible datasets, and AI rights management. (mbie.govt.nz)

3) Advertising, Marketing and Commercial Creative

Advertising and marketing remain the fastest-normalising segment for AI use. In 2026, New Zealand industry bodies have shifted the conversation from “should we use AI?” to “how does AI change creative production, discoverability, and marketing structure?” (marketing.org.nz)

IAB New Zealand’s April 2026 creativity event wrap argued that the market is separating into two layers:

  • high-volume, lower-stakes content that is increasingly automatable, and
  • brand, broadcast, and higher-craft work where human creative judgment remains the bottleneck. (iab.org.nz)

The next shift is discoverability. The Marketing Association’s May 2026 Wellington recap framed the issue as brands increasingly needing to be understood by machines first, because AI systems are starting to filter information before consumers see it. IAB’s Discovery: AI & Search Summit, published on May 29, 2026 for August 13, 2026, is explicitly built around this shift in brand and content discovery. (marketing.org.nz)

Trade Me is emerging as one of the clearest local commercial case signals. Braze’s Auckland 2026 recap described Trade Me as running AI-native marketing workflows, and Marketing Association event materials describe the company’s marketing team as embedding AI across planning, creative development, data modelling, optimisation, and reporting. (braze.com)

The implication is that in commercial creative, AI is no longer just a production tool. It is increasingly part of how brands are found, interpreted, and chosen. (marketing.org.nz)

4) Music

Music remains the subsector where adoption pressure and rights conflict are most tightly fused. APRA AMCOS’ AI and Music work still provides the strongest regional evidence base: 54% of surveyed creators agree AI can assist the human creative process, 82% worry AI could stop them making a living, and by 2028 an estimated 23% of music creators’ revenues are at risk without an effective licensing framework. (apraamcos.co.nz)

Since the June 10 update, the debate has sharpened materially. On June 19, 2026, APRA AMCOS pointed to an investigation reporting that Australian and New Zealand songs — including works associated with major Aotearoa artists — were found in leaked AI training datasets. That development makes the training-data issue feel less hypothetical for New Zealand creators. (apraamcos.co.nz)

At the policy level, the Government’s May 26 and June 3, 2026 copyright announcements matter for music and other creative fields. New Zealand is moving to extend copyright protection terms, and Cabinet has asked for advice on a possible generative-AI copyright framework by March 31, 2027. That does not resolve AI licensing or training questions yet, but it formally moves generative AI copyright into the government work programme. (beehive.govt.nz)

For Māori creators, cultural and collective rights remain especially sensitive. APRA AMCOS’ AI and Music position continues to emphasise consent, credit, transparency, and fair remuneration, with Māori members expressing strong concern about cultural misuse and appropriation. (apraamcos.co.nz)

5) Games and Creative Technology

Games and creative tech are now too large to be treated as a niche side story. NZ On Air’s July 8, 2026 release shows:

This does not by itself prove widespread studio-level AI deployment, but it does show a creative-tech sector with real scale, export intensity, and strong incentives to adopt tooling that improves productivity, art pipelines, simulation, testing, and content workflows. That is an inference from the sector’s economics and adjacent capability signals. (nzonair.govt.nz)

Capability formation is also becoming more structured. The Creative Tech Accelerator, showcased in March 2026, is a 12-week micro-credential co-designed with Microsoft and Seen Ventures to help creatives apply AI and creative tech to production-ready work. (nzist.ac.nz)

6) Arts Funding and Creative Institutions

A notable shift in 2026 is that public-facing arts funders are no longer treating AI as an external issue. They are building it into application processes and creator guidance.

  • Creative New Zealand says applicants will not be disadvantaged for using AI, but asks them to be transparent about where AI was used, lead with their own voice, check factual and ethical integrity, respect IP, and take care around privacy and cultural integrity, especially for Ngā Toi Māori and Pacific arts. (creativenz.govt.nz)
  • NZ On Air requires disclosure of intended AI use in funding applications and assesses proposals against cultural authenticity, creative integrity, risk management, diversity/accessibility, capability, transparency, and ethical implications. (nzonair.govt.nz)

This is a significant maturation point: AI is now being normalised not only in market activity, but in the public funding architecture that shapes what gets made and how. (creativenz.govt.nz)

Policy, Rights and Trust Environment

The national policy setting still favours adoption, but with a comparatively light-touch approach. MBIE’s AI strategy continues to emphasise confidence, productivity, and uptake rather than heavy sector-specific regulation. (mbie.govt.nz)

Within the creative industries, however, the practical mood is more guarded than permissive. Trust research from One NZ shows widespread use but rising scrutiny, while the news sector’s trust data shows clear resistance to heavily automated public-facing content. (media.one.nz)

Rights policy is now the biggest open strategic issue. The June 2026 copyright package strengthened creator protections in several areas and explicitly set a timetable for considering a generative-AI copyright framework. Sector advocacy from WeCreate also shows that creators are pushing the conversation beyond narrow deepfake harms toward voice, image, consent, and economic control. (beehive.govt.nz)

1) Adoption is broad, but public evidence remains uneven

The March 2026 Manatū Taonga baseline confirms broad uptake among creators, but detailed public case studies remain concentrated in journalism, marketing, and funding/governance settings rather than across the full arts ecosystem. (mch.govt.nz)

2) Governance is moving from principles to process

The clearest July-era shift is operational: NZFC, NZ On Air, and Creative New Zealand are not just stating values; they are embedding AI disclosure and assessment into applications and decision processes. (nzfilm.co.nz)

3) Workflow AI is still moving faster than synthetic public output

The most visible New Zealand deployments continue to be assistive: transcription, scanning, summarising, personalisation, text-to-audio, drafting support, and discoverability optimisation. (jmadresearch.com)

4) Discoverability is becoming a core creative-economy issue

For marketers, publishers, and platforms, the question is increasingly how brands and content are surfaced inside AI-generated answers and machine-mediated customer journeys. (marketing.org.nz)

5) Rights and provenance are hardening into policy priorities

Music dataset exposure, copyright reform, and calls for a generative-AI framework all point to a sector moving from cultural concern toward formal policy design. (apraamcos.co.nz)

6) Games and VFX are the highest-upside capability frontier

The economics of games, the Wētā FX-linked research platform proposal, and structured creative-tech training all suggest the strongest future AI leverage may come from technically intensive creative subsectors. (nzonair.govt.nz)

Conclusion

As of July 13, 2026, AI adoption in Aotearoa New Zealand’s creative industries is best described as broad, real, and increasingly governed. The baseline adoption story has not been overturned since March; what has changed is the sector’s maturity. Funders are asking for disclosure. Broadcasters have public principles. Journalists are using AI in production but keeping humans in charge. Marketers are reorganising around AI-shaped discovery. Music creators are pressing harder on consent and compensation. Games and creative tech are scaling fast enough to make AI capability a strategic infrastructure issue, not just a tooling issue. (mch.govt.nz)

The clearest overall pattern is that New Zealand’s creative sector is not moving toward unbounded automation. It is moving toward human-led, rules-aware, culturally specific, commercially pragmatic AI adoption. The organisations most likely to lead the next phase will be those that can show not only capability, but legitimacy: clear consent, clear accountability, strong craft, and visible respect for cultural and creator rights. (nzfilm.co.nz)

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