According to DeepLearning.AI, the latest issue of The Batch features Andrew Ng's introduction of the Turing-AGI Test, a new proposal designed to assess AI systems based on their ability to perform economically valuable work, shifting industry focus from hype to practical applications (source: DeepLearning.AI, Jan 2, 2026). The newsletter compiles insights from leaders across the AI landscape: IBM's David Cox emphasizes the business advantages of open source AI; Princeton's Adji Bousso Dieng discusses AI's transformative role in scientific discovery; Microsoft's Juan M. Lavista Ferres highlights the importance of integrating AI into education; the Allen Institute's Tanmay Gupta explores moving AI from prediction to actionable outcomes; UC-San Diego's Pengtao Xie focuses on multimodal models for biomedical advances; and AMD's Sharon Zhou addresses the community-building potential of next-generation chatbots. These perspectives reflect a broad industry consensus on measuring progress by real-world utility and market impact, providing actionable guidance for AI businesses seeking competitive advantage (source: DeepLearning.AI, Jan 2, 2026).