The big story this week is about building trust with AI agents. These are smart programs that can work on their own to finish projects. IBM experts explain that modern agents can plan, think, and use tools without human help. This makes them powerful helpers but raises questions about reliability.

Many new agent tools launched recently. Companies like Google, IBM, and Salesforce created 10 major agent products already this year. The global market for these tools is exploding - expected to jump from $28 billion to $127 billion in just five years. This fast growth shows businesses are excited about agent technology.

In real estate, agents are changing how work gets done. They can now research neighborhoods, update property listings, and even schedule house showings. Futurist Steve Brown calls this the "Year of the Agent" and says workers should not feel threatened. Instead, we should let AI handle boring tasks to make jobs better.

But serious trust questions remain. Can we believe agents will work only for us? Might they listen more to software companies or advertisers? Personal agents that manage our calendars, shopping, and messages need special trust because they handle private life details.

Companies are working on solutions. Salesforce already uses agents that handle customer questions while knowing when to call human helpers. IBM highlights four key improvements making agents more trustworthy: better small models, smarter thinking chains, bigger memory windows, and tool-using skills.

The future might bring AI agent teams called "swarms" that work together on complex jobs. As these tools spread, building user confidence through clear rules and reliable behavior remains the biggest challenge for developers.