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The latest Super MILLION$ final table promises some terrific action, featuring as it does some of the best poker players on the planet.
The action will kick off with New Zealand’s David Yan in the lead, sitting as he does with 5.3 million chips, a good chunk more than his closest challengers Yuri Dzivielvski (3 million) and Niklas Astedt (2.6 million). Of those two, it is perhaps the Swede Astedt who will fancy their chances more than anyone, desperate to seal the deal having accumulated almost $2 million in winnings in the tournament series but never having closed one out to take the outright win.
Elsewhere, there are some superstars of the game who are taking their places lined up behind the leaders in pursuit of poker profit. Canadian poker legend Sam Greenwood comes into the final a little short-stack with 1.9 million chips, but he’s immediately followed by another luminary of the game in Mikita Badziakowski. The Belarussian only has 1.4 million but will be doing everything he can to get over the line. The final table betting prices are slightly different to the order in which the players find themselves in the chipcounts:
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The shift to AI is also changing how Grenstad thinks about recruitment. A team working on the player journey, for example, needs people who understand casinos, iGaming and what a strong player experience should look like.
“I would not necessarily prioritise senior Java or front-end specialists in the same way as before,” Grenstad explains. “Technical skills remain important, particularly for people who can assess architecture and ensure systems remain reliable, but domain knowledge is becoming increasingly valuable. I’d rather take someone who’s good in the domain but doesn’t know any Java.”
That raises a question about how future developers will enter the industry. If Cubeia no longer needs front-end traditional junior Java developers in the same way, the traditional path from junior programmer to senior engineer becomes less clear.
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Aldrin monitors product changes, advertising, social media activity, app-store rankings and trading volume across prediction market operators. Patel said the objective is to connect those indicators and show how a product launch supported by advertising affects volume and market share.
Below the largest exchanges, he sees numerous operators competing for relatively small shares of a fast-growing category. “If you get 1% of this market, I think it’s a huge opportunity,” Patel said. “There are a lot of people fighting to get 1%.”
Jefferies estimates exchanges can retain approximately 65% of explicit transaction fees, with the balance distributed across clearinghouses, brokers and liquidity providers. It therefore expects more operators to bring parts of the infrastructure in-house.