Autonomous AI agents, agentic workflows, tool use, computer use, and multi-agent systems.
1,407 articles
A new approach proposes granting AI agents increasing independence step by step, rather than full autonomy at once. This graduated model aims to close the trust gap between businesses and autonomous AI systems. Source: aws.amazon.com
A model developed by Tufts researchers estimates that Medable's AI agent could deliver up to $21 million in value with an 82-fold return on investment. The projection highlights the potential financial impact of agentic AI in clinical research settings. Source: drugdiscoverytrends.com
An overview outlines three major trends currently defining the enterprise adoption of agentic AI. The trends reflect how companies are moving from experimentation toward practical, value-driven implementation. Source: aibusiness.com
Enterprise use of AI agents is increasingly driven by measurable business value rather than marketing buzz. Companies appear to be prioritizing practical applications tied to industry-specific needs over trendy but unproven use cases. Source: idm.net.au
Perplexity has joined forces with NVIDIA to release an AI agent capable of running locally rather than relying solely on cloud infrastructure. Source: howtogeek.com
Salesforce reports rapid growth in its AI agent business, with revenue expanding by more than 200%, though questions remain about how this will translate into its official order backlog. Source: fool.com
Info-Tech Research Group warns that many agentic AI initiatives underperform not because of the technology itself, but due to poor project selection and misplaced investment priorities. Source: prnewswire.com
Groq's specialized chips are emerging as a key factor in determining the responsiveness and practicality of AI agents in real-world applications. Source: wsj.com
A soldier-developed AI agent aims to help bridge gaps in spiritual readiness within military modernization efforts, according to a new report. Source: army.mil
As search behavior shifts, CX Network outlines three key steps businesses should take to move from traditional SEO strategies toward readiness for agentic AI-driven discovery. Source: cxnetwork.com
Crypto figure Arthur Hayes predicts that future AI agents will transact using a form of computing-based currency rather than traditional fiat money like the dollar. Source: en.bloomingbit.io
Fullspan Health's recently launched AI agent has quickly attracted attention, racking up 1.1 million views since its introduction in June. Source: fiercehealthcare.com
NVIDIA says its Vera Rubin and Blackwell platforms deliver a new standard of performance per watt for agentic AI workloads. The company notes AI agents have moved inference beyond single responses into multi-step reasoning, tool use, and coordination between subagents. Source: google.com
OpenAI is pushing to expand AI agents beyond software developers to mainstream users. The move raises questions about whether broad adoption will follow the technical hype. Source: google.com
Meta is reportedly gearing up for a major launch of Hatch, an AI agent meant to handle a wide range of everyday tasks. The service could come with a tiered subscription model. Source: google.com
Meta Platforms is preparing to release a consumer version of its OpenClaw-based AI agent, internally called Hatch, possibly within the next few weeks. The rollout is part of Meta's broader push into agentic AI products for everyday users. Source: google.com
OpenAI has introduced workspace agents in ChatGPT, powered by its Codex technology, designed to automate complex, multi-step workflows. These agents run in the cloud and let teams securely scale tasks across different tools. Source: google.com
Google's tools let users monitor exactly how an AI agent spends money on their behalf, but offer little protection if the agent makes a purchase without explicit approval. The issue highlights the risks of giving autonomous, multistep AI agents control over financial decisions. Source: google.com
According to OpenRouter, AI agents now generate about 7.3 trillion tokens per week on average — roughly five times the volume produced by human users. Agentic token usage continues to climb rapidly. Source: google.com
As companies deploy more AI agents, technology leaders are struggling to control rising token usage and costs. The challenge is balancing tighter governance with preserving room for employee-driven innovation. Source: google.com