The GPT tag aggregates prediction markets focused on large language models and AI company competition. These markets track questions about which AI systems will achieve specific capabilities, how companies will be valued, and which organizations will lead the field through 2026 and beyond. **Common predictions in this category** include: - Model capability rankings: Will Google, Anthropic, or OpenAI models reach specific performance thresholds on benchmarks like the Chatbot Arena leaderboard? - Company valuations: Will OpenAI reach $1 trillion valuation? Will Anthropic be valued higher than OpenAI? - Competitive leadership: Which company will first achieve a specific AI milestone—from model performance to user adoption to regulatory approval? - International competition: Will Alibaba or Baidu release models ranking as the second-best globally by end of June 2026? **What moves prices** in these markets: - **Benchmark results**: Model performance on standardized tests (Chatbot Arena, MMLU, reasoning tasks) directly influences prices for markets tied to specific thresholds. - **Company announcements**: New model releases, funding rounds, or capability announcements shift expectations around competitive positioning and valuations. - **Industry news**: Regulatory decisions, partnerships, and tech trends reshape expectations about which companies will dominate the field. - **Approach to resolution date**: As predictions near their outcome dates, market prices converge based on the latest evidence. Understanding the GPT tag helps participants track AI development consensus while forming their own views on the competitive landscape ahead.