Companies around the world are building AI agents that can make decisions and work on their own. However, people are worried about trusting these AI helpers with important jobs. This weekly update looks at how businesses are trying to make AI agents trustworthy.

What Is an AI Agent? An AI agent is different from a chatbot like ChatGPT. ChatGPT just predicts the next words to write. AI agents actually think about what's happening around them and make decisions. They can do jobs that might be dangerous for people, like working in hospitals or handling money in banks. But companies need to trust them first.

The Trust Problem Research shows that trust is the biggest problem stopping companies from using AI agents. Companies worry that AI agents might make mistakes that cost money or hurt people. AI agents struggle with understanding the situation around them, like humans do. When companies test these agents in demos, they look perfect. But when real people try to use them at work, they often fail.

What Companies Need to Know Companies need to understand what their AI agents are doing and why. They need to know if the agent is helping a person, helping another AI, or doing something bad. Companies also need to set rules about what their AI agents are allowed to do.

Making Trust Happen Experts say companies need to write better standards and tests for AI agents. The United States is working on this problem, and other countries are too. Universities like Stanford and Harvard are studying why AI agents fail when they leave the lab and go to real work. Businesses are learning that AI agents need careful watching by humans, even when they seem ready to work alone.

Looking Ahead As AI agents become more common in 2026, trust will be the key to success. Companies that figure out how to make AI agents trustworthy will lead the way.