OpenAI’s ChatGPT and Anthropic’s Claude both predict Spain to win the 2026 FIFA World Cup, with strong confidence across multiple sources [1, 2, 3]. Tech news site Tom’s Guide reported that Google’s Gemini, ChatGPT, and Perplexity also favor Spain, placing France as the second choice [1, 2, 3].
French AI chatbot Le Chat, developed by Mistral, diverges by forecasting a victory for France, also known as Les Bleus [1, 2, 3]. Meanwhile, Chinese AI chatbots DeepSeek and Qwen predict Argentina as the 2026 champion with equal certainty [1, 2, 3]. Bank of America analysts analyzing Microsoft’s CoPilot chatbot find it split evenly between Spain and France, mirroring fan polls where about 40% back France [1, 2, 3].
This divergence highlights differences in AI training data, regional focuses, or analytical methods. Researchers at Ludwig Maximilian University (LMU) in Germany are rigorously testing AI model accuracy for real-time, game-by-game tournament predictions on their public platform LLM SoccerArena [1, 2, 3]. LMU’s Stefan Feuerriegel said, "The question of whether language models can reliably support real decision-making situations is critical. That’s why we need benchmarks that don’t only test abstract tasks, but how models deal with dynamic information, uncertainty and results that can be checked later." [1]
LMU researchers feed their AI systems with internal data such as injuries, squad changes, and betting market odds to improve forecasting reliability [1, 2, 3]. Meanwhile, Australian researchers at the University of the Sunshine Coast highlight AI’s broader World Cup roles beyond predictions, helping coaches, medical teams, referees, and even detecting ticket fraud [1, 2, 3].
The 2026 World Cup will be the first tournament where generative AI chatbots are widely used for outcome predictions, following ChatGPT’s public release in late 2022 [1, 2, 3]. Testing these AI models in a high-profile, dynamic event offers a chance to assess their real-world accuracy and utility.
LMU’s ongoing research project and public prediction platform will continue monitoring AI forecast performance during the tournament, providing data for future AI development and sports analytics applications [1, 2, 3].