Multi-Agent Systems Become Team Players Companies are teaching AI helpers to work together like human teams. Google’s new Agent Builder helps businesses create AI groups that share information safely using the A2A protocol. Over 50 companies including Salesforce and MongoDB are building this system to connect different apps. For example, stores can use AI teams to set prices and track customer habits across websites.

Smarter Office Helpers Microsoft launched two AI helpers: Researcher (for planning projects) and Analyst (for fixing data errors). These use tools like Python and show work step-by-step. Google’s upgraded Deep Research AI now solves hard math problems 92% of the time using bigger brain models. Hardware company Vecow made special chips to run these AI helpers faster in factories.

School AI Gets Creative Clarivate built AI helpers for schools that can write paper summaries and find research partners. Their Agent Builder tool lets teachers make custom AI helpers for grading or lesson plans without coding. Over 3,000 schools are testing these tools to save time on paperwork.

Safety First for AI Teams As AI helpers get more access to company data, security group OWASP warned about stolen digital keys. Astrix made a shield system that watches what AI helpers do and blocks bad actions. This helps stop hackers from using AI helpers to steal information across multiple apps.

What’s Next for AI Teams? Experts think 33% of work apps will have AI helpers by 2028. Salesforce’s CEO believes 1 billion AI helpers will exist by 2026. These systems could solve 80% of customer problems without human help. Companies like McKinsey say AI teams will handle trip planning, paperwork, and even coding soon.

Tools like GitHub Copilot now have agent mode to fix code errors automatically. Cloudflare made it easier to connect AI helpers to websites safely. Schools and businesses are racing to train workers on these new tools while keeping data safe.