According to Andrew Ng, the introduction of Agentic Object Detection allows for identifying objects in images based on text prompts such as 'unripe strawberries' or 'Kellogg’s branded cereal'. This new method eliminates the need for labeled training data, which could significantly streamline the process of data preparation in AI-driven trading algorithms that rely on image recognition, thus potentially reducing costs and improving efficiency (Source: Andrew Ng).