.If we follow the trends and looking what could be expected new upgrades coming in the field of ai.

1. Improving Data Interpretation: Through further advancements in AI, the technology can deliver more precise interpretation and understanding of more complex data sets.

2. Enhanced Predictive Analysis: AI algorithms can become more sophisticated in predicting trends, thus providing better subtopic lists based on user interaction and trends.

3. Real-Time Contextual Relevance: AI models might be upgraded to provide real-time contextual relevance analysis that can adapt the generated subtopic list according to the evolving information landscape.

4. Adaptive Learning: Upgrades in AI may enable them to learn and adapt to the individual user's needs, creating custom subtopic lists based on the user's specific interests.

5. Semantic Understanding: Future AI upgrades would involve increased emphasis on semantic understanding and topic modeling, enhancing its ability to generate relevant and meaningful subtopics.

6. Multi-Language Support: Future AI systems may offer multi-language support to understand, generate, and translate subtopic lists in multiple languages.

7. Improved Sentiment Analysis: AI can be upgraded to better understand emotional context, helping in generating subtopics that resonate more effectively with users.

8. Real-Time Data Integration: Future AI systems may seamlessly integrate real-time data from various sources to generate a more relevant subtopic list.

9. AI chatbots: Improved AI chatbots for real-time interaction and subtopic generation based on the dialogues.

10. Integration of Diverse Data Types: AI may further integrate diverse types of data, like images, videos, and audios, while generating subtopics.

11. Self-Improving Algorithms: AI systems could be designed to learn from every interaction, improving the relevancy and meaningfulness of the generated subtopic over time.

12. Increased Scalability: Future AI systems could handle larger data sets and generate larger numbers of high-quality, relevant subtopics.

13. Use of Advanced Neural Networks: Upgrades to more complex neural networks might improve the depth of understanding and relevance in generated subtopics.

14. Automated Split-testing: AI platforms may use an automated split-testing feature to find the best subtopics for engagement.

15. Advanced Recommendation Systems: Upgrades could improve recommendation systems, making them more intelligent in generating relevant subtopics.

16. Personalized User Experience: Future AI updates might better personalize user experience, tailoring subtopic lists based on user behavior and preferences.

17. AI-Powered Search: AI can use predictive search and autocorrect features to generate subtopic lists based on the search habits of users.

18. Providing Richer Insights: AI algorithms can be refined to provide deeper and richer insights into topics, leading to more meaningful subtopic generation.

19. Enhanced Collaboration: AI systems can evolve to better collaborate with other AI systems to generate interconnected and comprehensive subtopics.

20. Emotional AI: AI could evolve to understand human emotions better, thereby improving its capability to generate relevant and meaningful subtopics.

And we wont be waiting long, as it is lurking at the corner