The artificial intelligence landscape is evolving rapidly, with multiple organizations competing to develop increasingly capable models. As we approach the end of May 2026, the competitive hierarchy of AI systems remains uncertain. These markets aggregate probability forecasts for a specific dimension of that competition: which company will have the second-ranked AI model according to the prevailing consensus assessment methods at that time. The grouping of Google, DeepSeek, OpenAI, and Anthropic reflects the current field of primary contenders in large language model development. Each market represents independent probability distributions for whether that particular company's model will hold the runner-up position. The collective price data across these four markets reveals how prediction market participants weight the competitive prospects of each organization. When reviewing the pricing below, consider several analytical dimensions. The probabilities across all four markets should sum to roughly 100% if market participants are fully confident in the outcome space—any significant deviation may indicate residual uncertainty about whether one of these four companies will actually hold the second position. Individual market prices reflect both technical capabilities assessments and broader considerations including product momentum, talent acquisition, research velocity, and deployment timelines. Price movements over time can signal shifting expectations as new model releases and research developments emerge. The relative spreads between markets show which companies market participants view as closer competitors for the runner-up position. Markets with very similar prices suggest more uncertain outcomes, while wider variations indicate more divergent confidence levels across participants.