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While this initially seemed terrifying, I quickly discovered that this outsider status was a gift. It has allowed me to view the industry through fresh eyes. I do not have any preconceptions about companies or products. This has become my superpower, allowing me to analyse the industry without bias and, hopefully, help shape its future.

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.

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Examples included phrases like “online casino zonder Cruks” (online casino without CRUKS, the Dutch self-exclusion registry for problem gamblers) and “beste online casino buitenland” (best online casino abroad).

KVA expressed concern over the potential manipulation of Google’s autocomplete function by unauthorised operators and websites primarily set up to redirect Dutch consumers to illegal gambling offers.

While acknowledging Google’s cooperation in removing paid advertisements promoting illegal casinos, the KVA emphasised the need for the company to take more comprehensive measures addressing organic search results.

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Sahil Patel, founder of competitive intelligence provider Aldrin AI, said those relationships help explain Kalshi’s position.

“A lot of market makers want to go where there’s liquidity,” he said, adding that platform stability and Kalshi’s investment in the financial side of its market-maker relationships were also important. “I think Kalshi is a freight train that’s just kind of running away with it.”

Aldrin monitors product changes, advertising, social media activity, app-store rankings and trading volume across prediction market operators. Patel said the objective is to connect those indicators and show how a product launch supported by advertising affects volume and market share.