According to @DeepLearningAI, Andrew Ng advises developers to pair strong computer science fundamentals with AI-assisted, agentic coding skills, indicating enterprise focus on agent workflows in software development, source: DeepLearning.AI, The Batch, Sep 4, 2025. According to @DeepLearningAI, a study cited in The Batch found AI-led interviews improved hiring and retention outcomes, a data point relevant to HR-tech adoption trends, source: DeepLearning.AI, The Batch, Sep 4, 2025. According to @DeepLearningAI, Hangzhou is profiled as an emerging AI hub in China, spotlighting geographic clustering in the country’s AI ecosystem, source: DeepLearning.AI, The Batch, Sep 4, 2025. According to @DeepLearningAI, Google quantified Gemini’s per-prompt footprint, offering measured environmental metrics for inference that are relevant to ESG tracking in AI workloads, source: DeepLearning.AI, The Batch, Sep 4, 2025. According to @DeepLearningAI, Meta introduced LlamaFirewall to secure agentic large language models, highlighting the growing emphasis on agent security controls, source: DeepLearning.AI, The Batch, Sep 4, 2025. These updates collectively identify trading-relevant themes across AI equities and infrastructure — coding agents, HR-tech, China AI hubs, model sustainability metrics, and agent security — as reported in one issue of The Batch, source: DeepLearning.AI, The Batch, Sep 4, 2025.