{"slug": "microsoft-study-reveals-ai-struggles-with-long-term-decision-making-tasks", "title": "Microsoft study reveals AI struggles with long-term decision-making tasks", "summary": "A Microsoft paper found AI models achieved only 27% of human performance on interconnected decisions over a simulated year, with the best setup, Qwen3.7-Max with Hermes, still falling short of human benchmarks. The study, summarized on social media by Rohan Paul, highlights a long-horizon reliability gap in continual self-correction and agency. Prediction-market pricing cited in the coverage indicates skepticism about Anthropic securing the top AI model position by November 2026.", "body_md": "A recent paper presented by [Microsoft](https://cryptobriefing.com/markets/microsoft/) highlights significant challenges faced by AI systems in long-term decision-making tasks. The study, summarized on social media by Rohan Paul, reveals that AI models achieved only 27% of human performance when tasked with interconnected decisions over a simulated year. This finding underscores ongoing limitations in AI systems, particularly in scenarios requiring continual self-correction and agency. The best-performing AI setup in the study, Qwen3.7-Max with Hermes, still fell significantly short of human benchmarks, emphasizing the gap in long-horizon reliability.\n\n## Key Takeaways\n\n- The Microsoft study suggests a significant performance gap between AI models and humans in long-term decision-making tasks.\n- Market participants appear to interpret this as a challenge for [Anthropic](https://cryptobriefing.com/markets/anthropic/) , potentially affecting its standing in the AI model race.\n- Pricing indicates skepticism about Anthropic’s ability to secure the top AI model position by November 2026.\n\n## What to Watch\n\nObservers should monitor how AI developers, including Anthropic, respond to these findings, particularly regarding long-horizon improvements. [Google](https://cryptobriefing.com/markets/alphabet/)’s and [Meta](https://cryptobriefing.com/markets/meta/)’s upcoming model releases could significantly influence market sentiment, potentially reshaping leaderboards. Any advancements or strategic announcements from key players like Dario Amodei of Anthropic and Sundar Pichai of Google could indicate shifts in competitive positioning through November.\n\n*Get live prediction-market analysis, powered by Vera. [Sign up for Vera](https://vera.cryptobriefing.com/?utm_source=cryptobriefing&utm_medium=pm_article&utm_campaign=vera_launch).*", "url": "https://wpnews.pro/news/microsoft-study-reveals-ai-struggles-with-long-term-decision-making-tasks", "canonical_source": "https://cryptobriefing.com/microsoft-study-reveals-ai-struggles-with-long-term-decision-making-tasks/", "published_at": "2026-10-02 02:18:32+00:00", "updated_at": "2026-10-02 02:46:35.059597+00:00", "lang": "en", "topics": ["artificial-intelligence", "ai-research", "large-language-models", "ai-agents"], "entities": ["Microsoft", "Rohan Paul", "Qwen3.7-Max", "Hermes", "Anthropic", "Google", "Meta", "Dario Amodei"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/microsoft-study-reveals-ai-struggles-with-long-term-decision-making-tasks", "markdown": "https://wpnews.pro/news/microsoft-study-reveals-ai-struggles-with-long-term-decision-making-tasks.md", "text": "https://wpnews.pro/news/microsoft-study-reveals-ai-struggles-with-long-term-decision-making-tasks.txt", "jsonld": "https://wpnews.pro/news/microsoft-study-reveals-ai-struggles-with-long-term-decision-making-tasks.jsonld"}}