Much of AI coverage is speculative or demo-driven — but real-world deployments are harder and far more revealing. In this article, we look at five ambitious AI systems now operating (or in trial) that push boundaries, show failure modes, and point toward where the frontier is headed.

AI agents are evolving beyond chatbots. This deep-dive explores how agentic AI is changing work, creativity, ethics, and future society, with real-world examples and design challenges.

OpenAI just dramatically expanded its infrastructure arsenal, signing a multi-gigawatt chip supply agreement with AMD and soliciting memory supply letters of intent from Samsung and SK Hynix for its vast Stargate project. These deals underscore how vital hardware supply chains have become in the global AI arms race.

OpenAI has launched a sweeping “long memory” upgrade for ChatGPT, allowing it to reference all past conversations—not just saved ones. For users, this means your past interactions inform future replies, making the AI seem more human, consistent, and personalized.

At DevDay 2025, OpenAI unveiled AgentKit, a comprehensive toolset enabling developers and enterprises to build, test, and deploy true AI agents. This marks a pivotal moment: transitioning from reactive assistants to goal-driven, autonomous agents that can plan, act, and reason across tools.

Agentic AI isn’t just about smarter models — it’s about AI systems that can plan, act, and collaborate autonomously. At the heart of this transformation are frameworks like LangChain, AutoGen, and CrewAI, which are redefining how developers build AI agents capable of performing multi-step reasoning and coordinated workflows.