New Zealand’s stance against gambling scams offers a useful indication of how artificial intelligence (AI) technology could fit into the country’s newly regulated online casino market.
Many of the reputable gaming operators featured in the BettingTop10 NZ casino guide have already recognised how AI can be used positively to support their activities.
However, as is often the case with emerging technologies, AI has also presented challenges to regulators in New Zealand as they strive to establish a formal framework for the industry,
The Department of Internal Affairs (DIA) is targeting deepfake and synthetic endorsements after AI-generated versions of prominent Kiwis were used without permission to promote a gambling app.
The crackdown draws an important distinction between deceptive uses of AI and technology that can improve how legitimate online casinos operate.
That should ultimately benefit licensed businesses because New Zealand’s new rules require operators to compete in a properly controlled marketing landscape.
The Online Casino Gambling Act came into force on May 1, while supporting regulations took effect on July 3. The new licensing regime will become fully operational in 2027.
Tackling AI Scams Will Strengthen Legitimate Marketing
Deepfakes are one of the primary risks associated with generative AI because convincing images, voices and videos make it difficult for consumers to determine whether an endorsement is genuine.
The DIA has linked some AI-generated casino advertisements to scam websites seeking personal or financial information, while authorities are particularly concerned about synthetic influencers and unauthorised recreations of recognisable people.
Closing that route is positive for legitimate operators because regulated casinos should not have to compete with businesses capable of manufacturing credibility through fake celebrity support.
New Zealand’s wider advertising framework reinforces that approach, with paid endorsements and affiliate marketing prohibited and advertisements required to be readily identifiable as both advertising and online casino-related content.
Operators that eventually receive licences will need to build recognition around their own products, customer service, reputation and compliance standards.
AI is useful in marketing, but its strongest applications may increasingly happen behind the scenes rather than through synthetic public-facing promotions.
AI Can Make Marketing Strategies More Intelligent
Machine learning can analyse large quantities of customer and product data much faster than conventional marketing teams, helping operators understand how people interact with their platforms.
That can include identifying which games customers typically browse, when different parts of a platform receive the most traffic and which features are frequently ignored.
Operators can use those findings to organise game libraries, improve navigation, segment customers and understand which products appeal to different audiences.
AI-driven personalisation has already become an established area of development across the wider iGaming industry.
This distinction matters under New Zealand’s regulations because using AI internally to understand customers is fundamentally different from creating a false public endorsement.
However, personalisation cannot simply become a mechanism for encouraging vulnerable customers to gamble more. New Zealand’s regulations place significant restrictions on direct marketing, loyalty programmes and inducements, while direct communications generally require express customer consent.
For operators competing in a market limited to 15 licenses, understanding customer preferences without resorting to misleading advertising could become an important competitive advantage.
Customer Support Is Another Major Opportunity
Online casinos can generate substantial numbers of routine enquiries involving account access, identity verification, deposits, withdrawals and game information.
Conversational AI can handle straightforward questions immediately, reducing waiting times while allowing human customer-service staff to concentrate on more important issues.
Modern AI support systems can also maintain conversation histories and route more complicated cases to appropriately trained employees rather than attempting to resolve everything automatically.
That could prove particularly useful in New Zealand because the regulations impose extensive consumer-protection requirements covering customer identification, account management, complaints and the information operators must provide.
AI assistants could explain how withdrawal procedures work, direct users towards account controls or retrieve relevant information without customers searching through lengthy help pages.
Natural-language technology can make support easier to access for customers who communicate differently, although operators would remain responsible for ensuring automated responses are accurate.
The objective should consequently be augmentation rather than eliminating human support, particularly where complaints, financial difficulties or potentially harmful gambling behaviour are involved.
AI Will Strengthen Responsible Gambling and Security
Machine-learning systems can examine changes in gambling frequency, deposit behaviour, session duration and other patterns to identify customers who may require additional attention.
Research into AI-enabled player-risk detection suggests the technology has considerable potential for early identification and tailored harm-reduction interventions, although researchers have also stressed the need for transparent standards for evaluating whether such systems genuinely work.
That capability complements New Zealand’s regulations, which require operators to provide spending, deposit and time limits, breaks in play, time-outs and self-exclusion mechanisms.
AI can also detect unusual account behaviour, suspicious transactions or attempts to exploit promotions, providing another layer of protection for operators and customers.
New Zealand’s deepfake crackdown does not mean that AI has no place in online casinos.
Fabricating endorsements or misleading customers damages trust, while using AI to improve customer support, understand legitimate consumer preferences, identify potentially harmful behaviour and strengthen platform security can make regulated casinos more effective.
By establishing that distinction before its licensed market becomes fully operational, New Zealand has an opportunity to encourage innovation without allowing AI to undermine the consumer protections that regulation was designed to create.
