The field of artificial intelligence is moving towards the development of agentic AI systems that can improve multimodal web data productivity. These systems are capable of autonomous decision-making and task decomposition, enabling them to perform complex tasks such as journalism and data visualization. The use of multi-agent systems is becoming increasingly popular, as they can automate entire workflows and generate coherent visual narratives. Furthermore, agentic AI is being applied to compliance-critical domains, such as Anti-Money Laundering, to produce high-quality and regulatorily compliant reports. Noteworthy papers include NEWSAGENT, which introduces a benchmark for evaluating multimodal agents in journalism, and Co-Investigator AI, which presents an agentic framework for generating Suspicious Activity Reports. Multi-Agent Data Visualization and Narrative Generation is also a notable work, as it presents a lightweight multi-agent system for automating data analysis workflows.