Multi-agent Systems Weekly AI News
October 20 - October 28, 2025The world of artificial intelligence reached an important moment this week. Companies everywhere are moving from using simple AI tools to using agentic AI systems that can work all by themselves. This is like the difference between having a helper who answers questions and having a worker who actually finishes jobs without being told every single step.
What is agentic AI? It's AI that can think about a big goal, break it down into smaller tasks, and then complete those tasks without needing a human to tell it what to do next. Instead of just reading and answering questions, these systems can read information, think about it, make decisions, and take action. This is sometimes called the shift from "read-only" to "read-write" artificial intelligence.
Google's DeepMind team showed off their latest creation this week: an AI agent called Dreamer 4. This agent can learn to do complicated things all on its own, kind of like how you learn to ride a bike by practicing over and over. The special thing about Dreamer 4 is that it learns inside a world model, which is like practicing in a safe pretend world before doing the real thing.
Real estate is changing fast. Companies that sell houses and apartment buildings are using agentic AI to help customers right away, answer questions, schedule tours, and even figure out what price a house should be. Instead of waiting for a real estate agent to call them back, customers now talk to AI systems that help them 24 hours a day. The business model is changing so that AI agents do the routine work while real people handle special situations.
Banks are saving money too. Big financial institutions are using AI to check if customers are really who they say they are (this is called KYC or "Know Your Customer"). The AI is cutting the cost of these checks by almost 50 percent while actually doing a better job. This means banks can work faster and safer at the same time.
Healthcare is joining the revolution. League, a healthcare company, just released something called League Agent Teams. This is a system of multiple AI agents working together to help people with their health needs around the clock. It's like having a whole team of helpers instead of just one assistant.
KPMG, one of the world's biggest business consulting companies, made a big announcement this week. Their head of AI said that the agentic revolution is here and moving very fast. They said it's no longer a question of "if" these systems will change how work gets done. The question is now "when" and "how fast."
But here's something really important: keeping these systems safe is critical. When AI systems can do things on their own, they need really strong security protections. Think of it like this - if you give a robot the keys to your house, you need to make really sure the robot is trustworthy and won't do anything wrong. Security experts are worried about new types of attacks on AI agents, like someone trying to trick an agent into doing something it shouldn't.
Multi-agent systems are becoming more practical and powerful. Instead of having one giant AI try to do everything, companies are having several smaller AI agents that each specialize in different things. One agent might analyze data, another might write reports, and another might check if everything is correct. They all work together as a team. This approach is working better than having just one big AI because specialized agents are better at their own jobs.
The bottom line is clear: agentic AI is not science fiction anymore - it's here and companies are using it right now to make work faster, cheaper, and better. From real estate to banks to healthcare, AI agents are taking on real jobs. But as they become more powerful, everyone needs to make sure they're being used safely and in ways that help people.