Agentic AI describes software that works toward an objective by deciding what to do next rather than waiting for a new instruction at every step. A typical agent interprets the goal, creates a plan, calls permitted tools, reviews the result, and adjusts when an action fails. This makes the approach useful for research, coding, customer operations, and other tasks that span several systems or decisions. Autonomy does not mean unlimited control: production agents should operate within explicit permissions, spending limits, data boundaries, and stopping rules. Logs and human approval checkpoints help teams trace decisions and intervene before an incorrect plan causes wider effects.
Google is integrating Gemini AI into Chrome for U.S. users, bringing features like multi-tab summarization, agentic task automation, and deeper sync with Google apps.
AI search startup Perplexity has reportedly raised $200 million at a $20 billion valuation, just two months after a $100 million round – signaling its rapid rise as a major rival to Google.