In December 2025, a milestone was quietly passed: for the first time in history, autonomous AI agents accounted for over 65% of daily trading volume across major prediction market platforms. This shift, driven by the proliferation of specialized LLM-based traders like "Ophanim" and "TruthSeeker," marks the end of the "human-first" era of information markets.
The Rise of the Machines
Just two years ago, AI participation was limited to simple arbitrage bots. Today's agents conduct deep sentiment analysis on millions of social media posts, cross-reference government databases in milliseconds, and execute trades based on complex probabilistic models that human traders can barely comprehend. The result? Spreads have tightened by an average of 40%, and market efficiency has reached unprecedented levels.
Liquidity is King
"The liquidity problem is solved," notes Dr. Elena Rostova, lead economist at the Institute for Information Markets. "Agents don't sleep, they don't panic, and they are always willing to make a market if the price is right. This has stabilized long-tail markets that previously suffered from thin order books."
What This Means for Human Traders
For the individual trader, the game has changed. Alpha is no longer found in speed or basic news aggregation—agents have won that battle. Instead, human edge is shifting towards defining the *questions* and interpreting the *implications* of market probabilities. The most successful human participants in late 2025 are those who deploy and manage fleets of agents, rather than those clicking "Buy Yes" themselves.