A research-backed annual review of AI heading into 2026: compute and efficiency, agentic systems, multimodal/generative video, edge inference, industry closures, governance and green AI.
基于 MIT Technology Review、IDC、McKinsey、NVIDIA GTC、Reuters 等权威来源的系统性综述：2026 年 AI 将在算力与能效、智能体与多模态视频、边缘与行业闭环、治理与绿色 AI 四条主线加速成熟，走向“环境智能层 + 个人/企业 OS”。
An SCI-style exposition of AI’s end-state and near-term transformation: a dual-layer architecture of an Environmentalized Intelligence Layer plus a Personal OS, grounded in structured world models, neuro-symbolic fusion, embodied loops, and trustworthy governance.
Upgrade prompts into interaction protocols: roles, state, tools, memory, and evaluation loops.
From product to platform: developer network effects, supply‑chain coordination, and governed openness.