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City of Detroit to investigate water tower with Polymarket logo https://t.co/O2n852pQxy

Polymarket and other prediction markets that ventured into sports trading last year maintain that they’re financial platforms governed by federal law.

The Commodity Futures Trading Commission (CFTC) agrees, continuing to defend its claimed “exclusive jurisdiction” over sports prediction markets in federal and state courts across the nation.

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The $10 trillion forecast also implies significant growth in just five years from what previously stood as some of the most optimistic 2030 projections. In April, Bernstein estimated prediction market volume will ascend to $1 trillion by 2030 while Bank of America said prediction markets will eventually grow to $1.1 trillion in yearly turnover. A July report from Macquarie analyst Chad Beynon included a $1.5 trillion annual volume forecast by 2030.

If Bernstein’s $10 trillion prediction market turnover forecast is realized or exceeded, it’d likely prove significant in revenue terms because the research firm previously estimated that $1 trillion in yearly activity could generate as much as $10.8 billion in revenue for operators.

As has been widely documented, sports event contracts are currently the lifeblood of the prediction market industry, but Bernstein notes that won’t be the case on a permanent basis. In fact, the research firm estimates that sports derivatives’ share of industry volume will decline to 35% in 2035, indicating that the aforementioned volume increase will be led by other categories.

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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.