Polymarket Markets: AI, War, and Crypto Bets
Polymarket prediction markets reveal $11.8M in 24h volume, with AI bets surprisingly focused on MLB, while war and crypto markets track geopolitical tensions and Bitcoin prices.

Visual TL;DR
$11.8M in 24h volume across AI, War, Crypto, and Tech categories
From the article 2 mentionsThe total combined trading volume across Polymarket's prediction markets surged to $11.8 million in the last 24 hours, with a total liquidity of $12.1 million.
top-traded market is an MLB game, not typical AI-related events
From the article 9+ mentionsThis data offers a unique, albeit speculative, window into market sentiment and perceived probabilities of complex future events.
War category dominates with markets tracking global tensions
From the article 5 mentionsThis market, set to resolve in August 2026, features a complex array of bets on game outcomes and total scores, with varying odds and potential returns.
focus on Bitcoin price movements and related events
From the article 9+ mentionsThe platform, which allows users to bet on the outcomes of future events, is seeing significant activity across its AI, War, Crypto, and Tech categories.
$1.5 million volume on Padres vs. Diamondbacks, resolving August 2026
From the article 2 mentionsThe sheer volume directed at an MLB game, categorized under AI, points to either a miscategorization on the platform's end or a broader, more abstract interpretation of what constitutes an 'AI market' by some participants.
points to platform miscategorization or broader betting interests
From the article 3 mentionsThis daily digest from Polymarket, All Markets provides a fascinating, if unconventional, dataset for understanding public sentiment on a wide array of events.
From the article 9+ mentionsThis data offers a unique, albeit speculative, window into market sentiment and perceived probabilities of complex future events.
Contents(3)
© 2026 StartupHub.ai. All rights reserved. You may not republish this article in full without a license. Search engines and AI research tools may crawl and summarize for reference. Bulk reproduction or model training requires a license. See our terms.
Written by
Daniel SingerEditor, StartupHub.ai
Daniel Singer is the editor of StartupHub.ai, a technology expert and thought leader on AI and its applications across sectors, from fintech and healthcare to developer tooling and consumer software. He writes and tests the tools covered here thoroughly and regularly, and built StartupHub.ai to give founders, operators and buyers a clearer read on what they are actually being sold.