Artificial intelligence is no longer a futuristic concept in Australian gambling. It is embedded in the systems that set betting odds, decide which promotions you see and even flag when you might be developing a problem. The Australian Communications and Media Authority (ACMA) has released its first comprehensive review of AI in online gambling, and the findings are striking. Wagering companies are adopting AI at speed, using it to personalise betting experiences, detect fraud and identify harmful behaviour.
The same technology that can detect problem gambling can also be used to encourage more betting. This conflict – between player safety and commercial objectives – sits at the heart of the ACMA’s concerns. As one operator after another rolls out AI-driven personalisation, regulators are scrambling to understand whether existing laws are fit for purpose.

ACMA 2026: AI Is Everywhere – and Regulators Are Worried
In April 2026, ACMA published its report “AI and interactive gambling: sector developments,” documenting the rapid integration of AI across licensed Australian wagering platforms. The research identified four primary applications of AI in the gambling sector – predictive analytics and odds setting, personalised promotions, content creation and design, and the detection of harmful or fraudulent behaviour.
Betfair Australia reports that AI can deliver a 22% improvement in odds accuracy, allowing operators to adjust prices almost instantly based on real-time data such as player injuries, weather conditions and live betting activity. Fanatics upgraded its algorithmic capabilities through the acquisition of Banach Technologies, a firm specialising in algorithmic trading and live odds services.
Markedly, the report found that AI is also being deployed across customer service operations. Sportsbet has introduced an AI-powered chatbot that now handles more than a third of all customer enquiries, with the system claiming an accuracy rate of about 94%. For routine queries, human agents are increasingly being replaced. The report also highlights Tabcorp’s partnership with Mindway AI to deploy behavioural analytics tools that monitor player activity and identify users vulnerable to problem gambling – enabling targeted interventions.
Hyper-Personalisation – The New Frontier of Player Engagement
The most commercially significant application of AI in Australian gambling is hyper-personalisation. ACMA says that “recommendation-style algorithms, widely used in other digital industries, are now being adapted for gambling services, where they suggest bets based on a user’s past behaviour and inferred interests.” Operators are using behavioural data to build individual player profiles, tailoring promotions, app interfaces and content to maximise engagement and retention.
Sportsbet has publicly stated its ambition to deliver a personalised experience for every customer who logs in. Competitors including Tabcorp, Entain, Bet365 and PointsBet are implementing similar systems, according to ACMA. The goal is to determine, in real time, what bonus to offer, which market to highlight and how to keep the player betting longer. The effect can be subtle but powerful. Push notifications, dynamic odds displays and “limited time” offers are all adapted to individual psychological profiles.
Consumer advocates argue that hyper-personalisation represents a significant escalation in gambling marketing. Unlike traditional advertising, which broadcasts the same message to everyone, AI-driven personalisation targets vulnerable individuals with offers tailored to their specific weaknesses. A player who chases losses might receive a “cashback” offer; a player who bets late at night might see promotions framed around “your last chance to win.”
AI Applications in Australian Gambling (ACMA 2026)
| Application | Examples | Key Operators |
|---|---|---|
| Predictive analytics & odds setting | Real-time odds calculation, 22% accuracy improvement | Betfair, Fanatics |
| Personalised promotions | Targeted bonuses, tailored app interfaces | Sportsbet, Tabcorp, Entain, Bet365 |
| Customer service automation | AI chatbot, 94% accuracy, 33% of queries | Sportsbet |
| Problem gambling detection | Behavioural analytics, “virtual psychologist” | Tabcorp with Mindway AI |
| Fraud & AML detection | Transaction monitoring, identity verification | Various |
The Double-Edged Sword – Detection Versus Drive
ACMA’s report exposes a fundamental tension. Operators are also using the same AI technologies that can detect problem gambling to drive player engagement and revenue growth. “While AI can be applied to support player safety, its commercial deployment may prioritise increased engagement and revenue generation over harm minimisation,” the report states. “Stakeholders have raised concerns that, in practice, some applications of AI, such as promoting gambling, may intensify harmful gambling behaviours.”
The conflict appears starkly in the detection systems themselves. AI can now identify behavioural patterns linked to gambling harm by tracking indicators such as increasing bet sizes, longer sessions or changes in betting frequency. These systems can trigger automated alerts, betting limits or referrals to support services. However, the same data can also be used to determine precisely when to send a retention offer – catching the player at their most vulnerable moment.
Mindway AI claims its GameScanner product can detect 87% of problem gambling behaviour, and Tabcorp is already deploying the tool across its platforms. Yet the report notes that operators are often reluctant to fully disclose their AI applications, partly to avoid scrutiny from regulators and the public. This lack of transparency makes it difficult to determine how many detection alerts actually lead to meaningful interventions, as opposed to being quietly overridden in the interest of revenue.

The Regulatory Challenge – AI Is Making Old Laws Obsolete
ACMA’s report makes clear that current gambling legislation is struggling to keep pace. The Australian Parliament wrote the Interactive Gambling Act 2001 long before AI-driven personalisation, real-time behavioural profiling, and algorithmic odds generation were even conceivable. “AI is delivering efficiency and innovation across the sector, but its rapid adoption is prompting calls from stakeholders for stronger governance, transparency and safeguards.”
The emergence of “agentic AI” – autonomous systems capable of operating without direct human supervision – poses an even greater regulatory challenge. ACMA has noted that these systems raise difficult questions about accountability when something goes wrong. Additionally, investigations have found that mainstream chatbots, including ChatGPT and Grok, occasionally guide users to unlicensed offshore gambling sites or provide methods to bypass regulatory safeguards.
ACMA has stated the report is intended to offer an overview of policy options, not to trigger immediate reform. However, the regulator acknowledges that the rapid uptake of AI is already testing the boundaries of current regulatory systems. As consumer advocates point out, operators could weaponise the same techniques used to detect fraud and identify vulnerable players—in the wrong configuration or with the wrong incentives—to extract maximum losses from the individuals least able to afford them.

ACMA’s 2026 AI gambling report lays bare a sector in rapid transformation. The industry is deploying AI across every facet, from Sportsbet’s 94% accurate chatbot to Tabcorp’s virtual psychologist. The same technology that can detect problem gambling can also drive engagement. The line between protection and exploitation is thin, and regulators are increasingly concerned that commercial incentives will win out.
As AI becomes more sophisticated, the pressure on Australia’s regulatory framework will intensify. The technology is not waiting for legislation to catch up – it is already rewriting the rules of the game. For players, the central question is whether the industry will use AI to protect them or to profit from their vulnerabilities. As ACMA’s report makes clear, the answer has not yet settled.
Sources: Australian Communications and Media Authority (ACMA), DataReportal, Eastory, The Straight Australia, Focus Gaming News
How Is AI Changing Gambling in Australia?
Q1: What is the most significant finding of ACMA’s 2026 AI gambling report? ▼
The report finds that Australian wagering companies are rapidly adopting AI for personalisation, odds calculation and fraud detection. Key findings include that Betfair’s AI improves odds accuracy by 22%, Sportsbet’s chatbot handles 33% of customer queries at 94% accuracy, and Tabcorp is deploying AI to detect problem gambling behaviour.
Q2: What is hyper-personalisation in gambling? ▼
Hyper-personalisation uses AI to tailor promotions, odds, and app interfaces to individual players based on their betting history, session times, and risk profile. Sportsbet has stated its goal is to deliver a personalised experience to every customer who logs in. ACMA warns this could increase risks for vulnerable users.
Q3: Can AI actually detect problem gambling? ▼
Yes. Mindway AI claims its GameScanner product can detect 87% of problem gambling behaviour. Tabcorp is deploying these tools to monitor player activity and flag at-risk users. However, ACMA has raised concerns that the same technology can be used to maximise engagement rather than protect players.
Q4: What is ‘agentic AI’ and why is it a regulatory concern? ▼
Agentic AI refers to autonomous systems that can operate without direct human supervision. ACMA has flagged these as a growing regulatory challenge, particularly regarding accountability when something goes wrong. These systems could, in theory, escalate betting recommendations or retention offers without human oversight.
Q5: Are current gambling laws equipped to handle AI? ▼
ACMA has acknowledged that the Interactive Gambling Act 2001 was written before AI-driven personalisation existed, and the rapid adoption of AI is already testing the boundaries of current regulatory systems. The regulator is calling for stronger governance, transparency, and safeguards.





