This article explores the potential of a new AI model capable of recognizing and interacting with computer interfaces in real-time without relying on APIs. It outlines the challenges of achieving quick reaction times, complex reasoning, and flawless execution, suggesting that success in these areas could revolutionize automation across various fields.

The article explores how AI will transform business processes, domains, and data models, potentially creating systems that feel alien to humans. It discusses the concept of AI agents developing their own knowledge and processes, shifting the focus of data modeling from "what" happened to "why" and "how." The author speculates on the emergence of new data formats and structures driven by AI.

The article discusses the future of data engineering in 2025, focusing on the integration of AI technologies to enhance data processing and management. It highlights the evolving roles of data engineers and the importance of automation and machine learning in improving efficiency and accuracy in data workflows.