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July 2, 2026 AI Industry Hotspots: AI actors can now express emotional changes, DeepSeek experiences performance issues and responds officially, and the three major U.S. AI giants are competing for philosophers. A detailed explanation of three major trends: the rise of emotional AI, intensifying model competition, and AI ethics becoming a new battlefield.

In 2026, AI-native applications are forcing a reshuffle of the SaaS industry. Low-code + AI boosts software development efficiency by 300%, and tracks such as smart communities, IoT, and e-commerce SaaS are ushering in AI reconstruction. Xiangming Technology helps enterprises complete a 6-12 month AI-native architecture transformation.

In 2026, AI large models enter a critical period for enterprise-level application deployment. Xiangming Technology focuses on software development, WeChat Mini Program development, and APP development, helping enterprises complete AI transformation.

George Clooney, Tom Hanks, Meryl Streep and other Hollywood superstars jointly launched an AI 'Human Consent Standard,' demanding that AI companies establish new rules for creator authorization and data usage. This event forms a sharp contrast with the accelerated deployment of AI Agents, providing a dual coordinate of ethics and efficiency for enterprise digital transformation. As large models move from the laboratory to the production line, and as low-code + AI triples software development efficiency, how can enterprises embrace AI while safeguarding the bottom line of data compliance? This article offers an interpretation from the dual perspectives of technology trends and business practice.

George Clooney, Tom Hanks, Meryl Streep and other Hollywood superstars jointly launched an AI 'Human Consent Standard,' demanding that AI companies establish new rules on creator authorization and data use. This event forms a sharp contrast with the accelerated deployment of AI Agents, providing enterprises with dual coordinates of ethics and efficiency for digital transformation. As large models move from the laboratory to the production line, and as low-code + AI triples software development efficiency, how can enterprises embrace AI while safeguarding the bottom line of data compliance? This article offers an interpretation from the dual perspectives of technological trends and business practice.

In 2026, AI Agents accelerate enterprise digital transformation, boosting software development efficiency by 300%. Xiangming Technology analyzes frontier trends such as AI Agent implementation, low-code + AI integration, and IoT smart communities.

Peking University and DeepSeek jointly open-source the DSpark framework, driving AI large models from research to application. Analyzing AI Agent implementation trends, new paths for enterprise digital transformation, and changes in software development efficiency.

In 2026, AI Agents move from concept to large-scale implementation. An in-depth analysis of how low-code + AI can increase software development efficiency by 300%, and how enterprise digital transformation can move from ERP to AI-native architecture.

In 2026, AI Agents move from concept to large-scale implementation. An in-depth analysis of how low-code + AI can increase software development efficiency by 300%, and how enterprise digital transformation moves from ERP to AI-native architecture.

In 2026, AI Agents accelerate deployment, and low-code + AI boosts software development efficiency by 300%. This article analyzes the key changes as enterprise digital transformation enters the AI-native era from four dimensions: industry trends, technological evolution, IoT ecosystem, and enterprise AI transformation strategies.