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Analyst Gautam Chhugani and team are forecasting $410 billion in yes/no exchange turnover this year, implying that if the $10 trillion estimate proves accurate, it’d represent a more than twentyfold increase from the 2026 tally.
The $10 trillion forecast also implies significant growth in just five years from what previously stood as some of the most optimistic 2030 projections. In April, Bernstein estimated prediction market volume will ascend to $1 trillion by 2030 while Bank of America said prediction markets will eventually grow to $1.1 trillion in yearly turnover. A July report from Macquarie analyst Chad Beynon included a $1.5 trillion annual volume forecast by 2030.
If Bernstein’s $10 trillion prediction market turnover forecast is realized or exceeded, it’d likely prove significant in revenue terms because the research firm previously estimated that $1 trillion in yearly activity could generate as much as $10.8 billion in revenue for operators.
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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.
Coming from the outside, I needed to gather a team to help steer the ship. In the two years since I took on the role, I have been blessed to work with some of the sharpest minds in the industry and I couldn’t be prouder of what we have achieved so far.
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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.
The MGA said the charter will be reviewed periodically as technology and regulation develops.