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What the president does not acknowledge is that the government relies on revenue from the sector. In just the first seven months of 2026, BRL8.747 billion generated by sports betting has already flowed into public coffers. The Federal Revenue Service estimates the total could reach BRL16 billion by the end of the year. In 2025, nearly BRL9 billion was collected from sportsbooks.
The burning question is where such funds will come from if Lula shuts down the betting industry. Yet, no one points out to him that players will simply migrate to the illegal market. Betting will continue to exist, but without formal tax revenue, oversight or player protections.
It will be up to the government to effectively curb the illegal market so the regulated sector continues to generate taxes and jobs while upholding responsible gambling practices. By riding the wave of criticism against betting companies, the government is diverting attention from the true cause of household indebtedness.
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The Bills opened their season beating the Texans in Houston 36-31, then followed that up with Thursday night’s (Sept. 17) big 41-31 home win over the Detroit Lions. Both games went over the total, and neither was particularly close.
The Bills play next Sunday (Sept. 27) at home against the 0-2 Los Angeles Chargers, with a 1 p.m. EDT kickoff.
We’ve already gotten money on the Bills against the Chargers, and of course the fact the Chargers lost to the Raiders yesterday (Sept. 20) 26-14 doesn’t help matters for people wanting to bet against the Bills,” Scucci explained. “So that’s all the more reason why we are seeing the money on the Bills. They’re going to be betting against the Dolphins every week, too.”
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Now, the focus is on what the company does with the additional capacity AI has created. Six months ago, Cubeia’s experiment was essentially about replacing human-written code with AI-generated code.
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.
