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The conclusion of the Yahoo Finance deal comes as there is more talk about the use of prediction market data in journalism. Operators such as Polymarket and rival Kalshi have touted their markets as a way to get real-time information on how likely future events are to occur.
However, some media industry observers have questioned whether trading activity can reliably stand in for broader public opinion. There are also concerns among critics over the growing links between news organizations and prediction platforms.
At the same time, prediction market operators are facing regulatory tussles in the US. State regulators are moving to shut down the firms under gambling laws. The companies say their contracts should be regulated at the federal level as derivatives.
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Some factions within the government, especially the Ministry of Finance, are resisting more drastic measures. The Ministry of Finance, responsible for regulating sports betting and online gaming, understands the sector’s importance to the economy. Finance Minister Dario Durigan’s difficulty lies in convincing Lula that a well-regulated activity is important for public finances. Lula has said, in line with critics of the sector, that if it were up to him, he would end betting in Brazil.
The president’s critical view of betting is on par with other candidates. Studies by the Workers’ Party (PT) indicate that three out of four Brazilians are against betting establishments. This is the president’s justification against the sector.
What the president didn’t address is the tax revenue from betting.
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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.
