This week showed how AI agents are learning to work together better than ever before. Companies around the world are joining forces to make sure different AI agents can talk to each other and cooperate on tasks.

The biggest news is that a new group called the Agentic AI Foundation was created to help set rules for how AI agents should work together. This foundation includes big tech companies like OpenAI, Anthropic, and others. Think of it like making sure all AI agents speak the same language, just like how people from different countries might learn English to communicate.

One important tool that teams are using is called the Model Context Protocol (MCP). MCP helps different AI agents understand each other and share information. By December 2025, millions of people were downloading MCP software to help their AI agents work as a team.

Companies are spending huge amounts of money on these teamwork tools. In 2025, businesses spent $37 billion on AI agent systems, which is more than three times what they spent the year before. This money shows that companies really believe AI agents working together will help them get more work done faster.

AnthropJournic, one of the top AI companies, also opened up its Agent Skills tool on December 18, allowing anyone to teach AI agents how to do complex tasks. This is like giving teachers the freedom to create lesson plans that any student can use.

Research shows that teams of AI agents work better than single agents. Scientists found that when you have multiple specialized AI agents working together, they perform 90% better than one super-powerful agent trying to do everything alone. This is similar to how a sports team with different players (a goalie, forwards, and defenders) works better than one player trying to play all positions at once.

Companies across the globe are building new tools to help agents cooperate. Google created a new system called Antigravity for coding tasks. CrowdStrike and NVIDIA partnered to build AI agents that protect computer networks together. Adobe worked with Runway to add AI teamwork to creative tools.

While businesses are excited about these developments, experts warn there are still challenges. Many AI agent teams fail when they leave testing labs and face real-world problems. Researchers at Stanford and Harvard are studying why systems that look amazing in demonstrations often stop working properly when actually used by customers.

The world is entering a new era where AI agents won't work alone anymore. Instead, they will be part of teams, each with special jobs, all working together to solve hard problems for people and businesses everywhere.