AI in iGaming B2B marketing: a performance-enhancer, not a replacement for human expertise

Artificial intelligence has evolved into a status symbol in iGaming: nearly every conference features an AI panel, suppliers claim to integrate AI into their products, and new launches promise sweeping AI-driven transformation. In an opinion piece published on iGaming Expert, SBC Media's commercial director John Cook takes a hard look at what that means for B2B marketing, cautioning that the technology is not a cure-all.

Efficiency without substance

For B2B marketers, the pull is obvious. AI can condense research, spot patterns in data, accelerate campaign planning and keep messaging consistent across markets. In an industry where being first often decides who leads, such gains are difficult to ignore. Yet Cook argues that efficiency alone is not the point. AI should be an optimisation layer over existing processes, not a replacement for internal expertise.

Misuse of AI is already common, he writes. When teams let AI dictate the finished product rather than support it, the market fills with content that reads as competent but fails to leave an impression. From 2026 onward, the central task is making sure AI complements the team's strengths instead of stripping away the distinctiveness of a brand.

Originality as a differentiator

Tools like ChatGPT, Claude and Gemini have become useful aids for research, brainstorming and structuring arguments, especially for complex topics. They also help suppliers producing content in multiple markets keep a uniform tone and language. But a problem emerges when efficiency becomes the objective instead of a by-product. Because many businesses use the same models, output starts to look alike - think of the formulaic LinkedIn posts that readers instantly identify as AI-generated.

Cook sees opportunity in that sameness. Brands willing to produce something original, informed by experience and commercial judgement, can stand out. AI makes writing faster, but it cannot decide what is worth saying.

Buyers and decision-makers do not consume content merely because it exists. They respond to perspectives they have not seen before and to material that helps solve an operational problem. The same logic now applies to search, where engines increasingly favour original, expert-backed information over algorithmically generated filler. Increasing output volume without adding insight does little for authority.

Trust in a regulated sector

Beyond differentiation, reliability is the bigger concern. Large language models work by identifying patterns across huge corpuses of public data; they do not verify facts the way a seasoned journalist or subject matter expert would. Cook warns that AI can sound authoritative while carrying errors, outdated claims or unsupported assumptions. In gambling, where regulation is strict, that could mean incorrect compliance information, copyright issues, data protection missteps or other failures with long-lasting reputational costs.

There is also a broader risk that audiences, growing accustomed to AI-style writing, will start doubting the organisations behind it. For marketers, eroding that confidence is arguably the most serious downside of heavy AI dependence.

Humans and AI working together

Emerging research points toward collaboration rather than replacement. A University of Urbino study found that readers tended to engage more with human-written content, but AI-assisted material outperformed content generated entirely by machines. MIT researchers found that when audiences did not know who produced a piece, AI-generated work performed as well as - and sometimes better than - human writing. However, once the source was revealed, work by recognised experts generated greater confidence and engagement.

Cook's conclusion is that marketers who thrive will be those who know where AI should stop. Using it for research, workflows and insight-gathering while preserving genuine expertise and a clear point of view will matter more than producing the largest volume of AI-assisted output. AI can help businesses move faster; human judgement gives them something worth communicating.