About this app
How to play Slushie Party
Prediction market volume could soar to $10 trillion per year by 2035, compounding at a staggering annual rate of 70%, according to new research by Bernstein analysts.
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.
What is Slushie Party?
Tailored, behaviour-triggered messages were seen as more effective than generic warnings, but many participants simultaneously expressed mistrust towards operators collecting behavioural data.
Finally, the study found that these needs and preferences varied widely by product type.
Notably, sports bettors prioritised fast and clear information that was delivered without the interventions being disruptive. Casino players wanted accessible explanations and real-time support during play.
What is Slushie Party?
One customer built its own casino landing page and wanted to use Cubeia’s APIs to make it work with the platform. “Another wanted to use Cubeia’s player account management system to build its own functionality, including personalised bonuses,” Grenstad recalls.
The idea is less about Cubeia providing another AI tool than making its platform and data accessible to AI infrastructure customers are already building themselves. Cubeia is now running a pilot based on the landing-page use case.
This was not necessarily on the horizon just six months ago, Grenstad says, but now he believes Cubeia should ultimately be able to “say yes” when customers arrive with products built using their own AI tools.