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The biggest new uncertainty in US sports betting is prediction markets. The American Gaming Association estimates that Americans will legally wager $29.5 billion in betting handle through US regulated commercial sportsbooks during the 2026 NFL season, broadly unchanged from the $29.4 billion handle recorded in 2025. These figures refer to the amount wagered, not sportsbook revenue.
Robinson calls prediction markets “the main event”. His argument is not simply that US customers are moving from sportsbooks to prediction markets. The more important point is that sportsbooks no longer have the relatively protected market that was once assumed.
Kalshi, Robinhood, Crypto.com and DraftKings’ own prediction-market operation are all competing for activity around sporting events. Beynon says prediction markets are having a larger effect on valuations than on fundamentals so far.
About Cocktail Rush Easter Edition
Gyeonggi Province’s Office of Education has entered into a youth gambling prevention agreement with South Korea’s Gambling Control Commission (KGCC).
A memorandum of understanding, signed on Monday, aims to tackle rising gambling exposure among schoolchildren through smartphones. The aim is to integrate preventative education with broader school-based initiatives.
The agreement was signed at Osan Seongho Middle School and links gambling prevention education with a “phone free” strategy alongside RAS education. RAS is an approach combining reading, arts and sports and is designed to occupy students’ time with structured, screen-free activities.
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Since then, it has evolved into something broader: a different development pipeline, a different role for developers and quality assurance (QA), a different way of organising teams and, increasingly, a different relationship with customers.
Cubeia’s first phase was an open approach to AI. Developers could use it whenever they wanted. Phase two brought structure, with everyone using the same agents and working through the same AI-driven pipeline. That required Cubeia to solve questions around quality, reliability and how agents could work together, while getting employees comfortable with the new way of working. Grenstad believes that work has largely been completed.
“During the hybrid period in Q1, Cubeia solved 259 issues. Once it moved to the AI-driven process, that figure rose to 421 – a 62% increase. Larger projects increased from 17 to 58. So the answer is yes: moving to AI-driven development has increased our output tremendously,” Grenstad says.
