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.
DeepSeek has released a preview of its V4 language model, highlighting lower inference costs and strong performance. The launch intensifies competition in China’s fast-growing AI market.
OpenAI has launched GPT-5.5, a new flagship model designed for coding, computer use, knowledge work, and scientific research, with stronger performance, lower token usage, and broader real-world autonomy than GPT-5.4.
OpenAI has introduced workspace agents in ChatGPT, letting business teams build and share AI agents that autonomously handle multi-step workflows across tools like Slack and internal systems.
Nvidia and Google Cloud unveiled new AI infrastructure and agentic AI capabilities at Google Cloud Next, targeting large-scale enterprise and industrial deployments.
Adobe has launched CX Enterprise, a new AI platform integrating agents across major tech ecosystems. The move aims to streamline customer experience workflows at scale.
Salesforce has launched Headless 360, exposing its entire platform to AI agents via APIs and tools. The move redefines how enterprise software is accessed and used.
OpenAI has upgraded Codex with computer control, memory, and workflow integrations. The update pushes Codex beyond coding into a full development lifecycle assistant.
Anthropic has introduced Ultraplan for Claude Code, a new feature that shifts software planning tasks from the terminal to the cloud so developers can review, revise, and execute agent-generated plans more flexibly.
Anthropic has launched Managed Agents, a new system designed to run long-horizon AI tasks by separating reasoning, execution, and memory layers. The approach aims to improve reliability and scalability.
Meta shares climbed 7% after unveiling Muse Spark, its new multimodal AI model, signaling investor confidence in the company’s revamped AI strategy.