Where AI lacks speed for HFT purposes, it makes up in modelling outcome likelihood. It might not have millisecond reaction times to events, but it’s good at turning information into probabilities. We’re building a treasure trove of AI simulation data for outcomes and the results are pretty impressive. AI is particularly useful for modelling and projecting outcomes for micro markets. Why is that valuable? Because it changes the economics of prediction market liquidity. Humans are incentive oriented. If there isn’t a huge payout, they won’t put in the effort to price an event accurately. AI doesn’t care about payouts, it simply models events regardless of how insignificant they may seem. And 100s of insignificant gains can compound into something substantial. AI is basically the key to bootstrapping smaller prediction markets before they reach a critical mass. Modern solutions for modern apps.