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A US listing can improve access to capital without making the underlying business more attractive. London has a capital-markets problem. Gambling has an investment problem. The two overlap, but they are not the same thing.

Frank Fantini, founder and publisher emeritus of Eilers-Fantini, thinks the change began before Covid. “There is a tendency to look at the world as pre-Covid and post-Covid,” he says. “But the decline in gaming began earlier than that with the slowdown in new jurisdictions and new projects.”

The US land-based casino market had begun to mature and the number of obvious new markets and projects was shrinking. Online gambling offered a new source of growth, particularly through the expansion of legal sports betting. That opportunity was quickly reflected in share prices.

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While sports event contracts remain the headline-grabbers for prediction market operators, there’s evidence that other categories are experiencing growth. As Bernstein points out, cryptocurrency event contracts account for at least 20% of the turnover on the two largest prediction markets.

In another encouraging non-sports sign, one of those operators notched just $2 million in commodities volume last year, but that figure surpassed $410 million in August alone and is approaching $600 million on a year-to-date basis.

Bernstein estimates the global market for financial contracts will grow to $900 trillion by 2035, up from $700 trillion last year, and if prediction markets capture just 0.5% of that total, volume would increase by $4.7 trillion per year.

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“Trust is fundamental to the responsible adoption of AI. As its use becomes increasingly embedded across the gaming sector, organisations need practical ways to understand where AI is being used, manage the associated risks and ensure that accountability and human oversight remain firmly in place,” he said.

“The AI gaming charter translates these principles into practical, sector-specific guidance,” he added.

The charter also made a series of other recommendations. It suggested that companies should designate a senior member of staff responsible for governance of the technology. It additionally recommended an AI oversight or ethics committee.