InfoQ AI ML Trends Reports provide an overview of AI, ML, and Data Engineering trends. The report summarizes a podcast discussing these trends and what to expect in the next 12 months. It includes an important trends graph based on Geoffrey Moore's "Crossing the Chasm" book.

• Innovators: New topics added this year include AI Agents (with developments like Anthropic's Claude Subagents and Amazon's Bedrock Agents), Multi-modal Language Models, Physical AI (such as Google's Gemma 3n and NVIDIA's robotics solutions), Model Context Protocol (MCP), and Human Computer Interaction (HCI) with Agentic and Physical AI.
• Early Adopters: Highlights include Language Model Innovations (like OpenAI's GPT-5 and Vision LLMs) and Retrieval Augmented Generation (RAG). RAG-based application development is growing. Automated Machine Learning is also moving into this category.
• Early Majority: Technologies like Vector DBs, MLOps, and Synthetic Data have become more mature and widely adopted.
• Late Majority: Lakehouses, Stream processing, and Distributed computation (Storm) have been fully adopted by teams.
  Conclusion: AI technologies are transforming and will continue to innovate. Predictions for the next year include the growth of AI agents, the emergence of useful things for the internet's future, video RAG challenges, the AI bubble discussion, and AI becoming a more subtle part of our lives.