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Holland Casino now pays 37.8% of GGR to the state, as per the additional increase in 2026, but with labour tax on top the business pays around 52% before they can look at their base running costs. It is not a small burden by any stretch of the imagination, so it is heartening to see the business doing well despite the tightening tax burden.
With such a significant rise in tax, you would forgive the company for cutting wherever possible, but Petra says they have made it work by maximising efficiency, restructuring, and maintaining their offering so the customer doesn’t notice that anything has changed.
“We feel that people are always interested in gambling and that we are the party who should offer that in a safe way. [Holland Casino] has been careful to maintain that, but of course our costs rose very quickly, so we restructured at our head office. We have also been looking at innovations in offerings, which we are currently also testing, including a further development of the Next Zone. We’ve also introduced the double zero in roulette, which we didn’t have previously in the Netherlands,” the CEO says.
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The order requires Raja to disclose assets worth more than £10,000 ($13,000) and limits his personal spending to no more than £5,000 ($6,700) per week without explicit consent from MFS administrators.
The UK’s Financial Conduct Authority (FCA) subsequently launched an enforcement investigation into MFS.
Raja’s appetite for high-stakes gambling predates his emergence as a prominent property lender. The Times reported last month that he was declared bankrupt in March 2005 with debts totaling around £350,000 ($470,000), a portion of which was owed to casino operators.
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The charter also made a series of other recommendations. It suggested that companies should designate a senior member of staff responsible for governance of the technology. It additionally recommended an AI oversight or ethics committee.
The framework also urged companies to implement rollback mechanisms and “kill-switch” controls for higher-impact systems.
For AI-powered customer support and chat, operators are encouraged to set clear parameters for when conversations should be moved to a human member of staff. These include repeated low-confidence responses, unresolved queries, indications of distress, or a customer simply asking to speak to a human.