Dazzle Me

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Entain’s removal from the FTSE 100 is a telling sign of what has happened to gambling stocks across both Europe and the US in recent years. The company’s shares have fallen sharply over the past year, even as its first-half results showed continued growth in several important markets.

In the six months to June, Entain’s online net gaming revenue rose 7% in constant currency. Revenue in Britain and Ireland increased 13%, while the company maintained its full-year guidance for online net gaming revenue growth of 5% to 7%. So why is its stock price still so under pressure?

One answer is that the industry is no longer being valued primarily on the promise of endless growth. The market instead wants to see profit, cash generation and manageable regulation maintained across all facets of a listed business. Ed Birkin, managing director of H2 Gambling Capital, says the longer-term decline in gambling stocks runs much deeper than just changes to earnings forecasts.

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“We expect non-sports categories such as economics, politics, crypto, and entertainment to gain share over time,” says the analyst.

Prediction market operators are on legal losing streaks, confirming that Beynon is onto something when he says the regulatory environment is the biggest risk facing the industry.

“We continue to view regulation as the largest risk to prediction markets,” says the analyst. “While industry growth remains robust, adverse legal outcomes could materially impact sports contract availability and long-term adoption.”

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Instead, it proposed a risk-based approach. It suggested lighter controls on use cases such as coding assistants, but strong checks on customer-facing functions, particularly those involving fraud and responsible gambling.

Kenneth Brincat, CEO of the MDIA, said companies needed “practical ways” to better understand where AI fits within their businesses.

“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.