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According to data from Yahoo Finance, the resort and casino sector is -41% over the last five years, and the overall gambling sector, which includes major sportsbooks and online operators, is +7%; the benchmark S&P 500 index, by comparison, is +71% during that span.
Two blockbuster developments in the casino space earlier this year seemed to indicate an increasingly bullish bet on the sector, including Fertitta Entertainment’s acquisition of Caesars Entertainment in May. The other is a subsequent takeover offer of MGM Resorts from its largest shareholder, Barry Diller’s People Inc. But a negative shift in market conditions could affect both deals.
In July, Fertitta’s General Counsel Steven Scheinthal told the Nevada Gaming Control Board that the company had a letter of intent from banks to finance the transaction but was waiting for better borrowing conditions. Fertitta is assuming nearly $12 billion in Caesars’ debt and is committed to a $6.6 billion financing package.
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Cyprus is not the first market to consider whether to block its welfare recipients from using their benefits to gamble, Brazil introduced a similar ban in 2025.
During a session of the House Audit Committee last Thursday, members of parliament (MPs), the Data Protection Commissioner and representatives from the Welfare Benefits Administration Service (WBAS), the Gaming & Casino Supervision Commission and the National Betting Authority (NBA) convened to discuss ways to identify and restrict gambling activity among GMI beneficiaries, as reported by Cyprus Mail.
While the intention is to protect vulnerable households and ensure welfare is spent on essential needs, proposed measures are being complicated by legal, technical and privacy obstacles.
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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.
