AI Intelligence: 2025 Reflections and 2026 Focus[Based on my published article, linkedin, substack]
This analysis examines the 2025 landscape of intelligence, highlighting a fundamental split between the contextual richness of biological brains and the statistical compression used by artificial models. While generative AI has mastered massive data synthesis and symbolic manipulation, it still lacks the physical grounding and sensorimotor understanding inherent to human thought. The industry is currently shifting toward Vertical AI and neuromorphic computing to overcome energy limits and address complex fields like synthetic biology and autonomous agriculture. Investors and developers are moving past initial hype to focus on agent orchestration and specialized reasoning tools that offer real-world utility. Ultimately, the transition into 2026 centers on bridging the calibration gap between machine probability and genuine, high-stakes human comprehension.
