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If the research firm’s $190 billion taker volume estimate proves accurate, it’d represent a more than eightfold increase from the $22 billion taker turnover seen last year.
Potentially boding well for the Macquarie forecast are at least two factors. First, there are signs of turnover increases across a variety of yes/no exchanges. Second, volume surged to start September with those spikes arriving even before the NFL season kicked off.
As Macquarie analyst Chad Beynon points out, prediction markets generated $4.3 billion in taker volume during the first week of September without any help from the NFL, building on momentum from the 2026 World Cup. However, the NFL’s impact was immediate, with taker volume hitting a daily record during Week 1 of the campaign.
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Various MPs voiced concerns about the risk of privacy violations in accessing this data, and the potential social stigma around the information being shared.
Christofidou also floated the idea of issuing GMI recipients with a special card for in-person verification at gambling venues, but several MPs warned this could stigmatise welfare recipients.
Current gambling legislation restricts participation for minors and those classified as “financially vulnerable”. However, GMI recipients are not yet formally classified as such for the purpose of these regulations.
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The company has also pursued partnerships outside the normal financial media. Its deals include relationships with major sports organizations and entertainment properties, signaling efforts to integrate prediction markets into mainstream content and information services.
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.
