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“Peru has been quite successful in channelling customers into the regulated framework,” Rossi comments. “The risk is that this channelisation can decrease in favour of the black market. We know the black market won’t have any consumption tax.
“There should be, in my opinion, a review of the whole ISC or consumption tax framework and find a kind of alignment or a better way to get an income in terms of taxes, but that should be balanced in order to avoid the disruption of businesses and a migration of customers to the illegal market.”
Atucha warns there is a tipping point where higher taxes can undermine channelisation, citing the UK and Germany as important case studies.
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iGaming was not the industry I set out to work in. Before 2021, I worked in finance and business – agro companies, management consultancy and investment funds, none of which were remotely linked to the industry.
In 2021, I joined an investment fund focused on startups harnessing AI and machine learning. In the process, I had a chance encounter with an iGaming investor. This sparked a conversation that would change the course of my career. He pointed out that iGaming was dramatically underutilising its data potential. There was an opportunity here, and once we began exploring it, the thread just kept unravelling.
I started out as an adviser with the Playa, but was appointed the company’s CEO in 2024, a position I did not expect to find myself in, but an opportunity I have embraced with open arms. As a company, we provide AI personalisation solutions to businesses, something that was totally new to the market.
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That study found that AI adoption across the gambling industry remained uneven. It highlighted customer support, data analytics, fraud detection, and responsible gaming as areas where the technology was already being heavily used.
However, it also found that formal governance of AI was struggling to keep pace with its growing usage. Only a minority of organizations surveyed reported having a formal AI strategy or roadmap. Many said one remained in development.
The MGA also found that only a small number of respondents had fully established AI risk assessment processes or incident-response plans.