INDUSTRY INSIDER: MARK MCGUINNESS
The AI systemic shift: Why infrastructure trumps productivity
As the industry races towards an automated future, we must stop treating Artificial Intelligence (AI) as a mere digital assistant and start governing it as the core engine of the modern gaming enterprise, says our industry insider, Mark McGuinness.
I
come from a third-generation family steeped in the hard-nosed odds making and precision of the betting world. In my 25 years across land based and online sectors, I have seen the ‘next big thing’ arrive more times than I care to count.
From the first digital cabinets to the migration of the sportsbook onto the mobile phone, the cycle is always the same. Excitement precedes execution. But Artificial Intelligence (AI) feels different. It is not just another layer of software. It is a fundamental shift in the inner workings of our industry. At a recent digital roundtable on AI in iGaming hosted by the iGaming Roundtable, a recurring theme emerged that gave me pause. We are currently obsessed with AI as a productivity tool. We talk about writing better marketing copy or speeding up customer service queries. This is a mistake. If we only view AI through the lens of individual task efficiency, we miss the structural reality. AI is not a tool. It is a system.
30 APRIL 2026 GIO
THE SCALE OF THE SHIFT The rapid growth of AI in our sector is undeniable. Recent market data suggests the AI in games market for example is set to increase by $34.10 billion (£27.2 billion) by 2030. This growth is driven by a compound annual rate of over 40 per cent according to Technavio research in 2026.
Furthermore, operators using agentic AI systems report a 35 per cent increase in player engagement. Yet, beneath these glittering statistics lies a precarious lack of infrastructure. You cannot simply ‘plug in’ a Large Language Model and expect your business to transform. As with any legacy software transition, your team requires onboarding, deep education, and consistent upskilling. Without this, your AI deployment is a house built on sand. We must shift the conversation toward a robust framework of governance.
This starts with a clear AI Policy. Before a single line of code is integrated into your tech stack, the business case must be established. How will it be used? What are the Standard
Operating Procedures (SOPs)? Most importantly, where is the human oversight?
THE ENGINEERING MINDSET A striking observation shared during our recent industry discussions is the profile of those currently finding the greatest success with AI. The operators and providers leading the charge almost invariably come from an engineering background.
This is no coincidence. Engineers understand that AI is not a magic solution but a sophisticated iteration of Software as a Service (SaaS). They possess an inherent grasp of the rigorous processes required to create a desired workflow. They do not see a chatbot; they see a sequence of API calls, data pipelines, and logic gates that must be meticulously mapped. For these professionals, AI is an infrastructure project that requires the same architectural discipline as building a land-based casino or a high frequency prediction trading platform. If you lack that engineering mindset within your leadership, you will struggle to move
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34
