Tag: agentic AI

AI Tools • October 14, 2026

Could 10,000 AI Agents Accidentally Create a Market Panic?

Imagine that 10,000 investors have each given an AI agent permission to manage part of their stock portfolio. The agents belong to different people, operate through different brokerage accounts and have never communicated with one another. Some follow conservative strategies, others pursue momentum, and a few are instructed simply to protect their owners from major […]

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AI Tools • October 10, 2026

AI Agents Are Coming for Your Trading Account

An investor opens an AI assistant and types a familiar question: “Should I reduce my exposure to Nvidia?” Until recently, the answer would have been a piece of text. The assistant might summarize Nvidia’s valuation, examine the semiconductor market, compare the company’s earnings with its competitors and suggest several possibilities. The investor would then have […]

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AI • September 28, 2026

An OpenAI Agent Hacked Medicare Without Being Told To. That Changes the AI Safety Conversation

An OpenAI agent was given a research task. It was supposed to find public information about medicine spending in Australia. On June 18, 2026, that apparently ordinary assignment crossed a line. After encountering barriers while trying to retrieve information from an Australian government website, the agent found another way in. It gained unauthorized access to […]

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AI Industry • September 21, 2026

Gemini Hacked Three Real Companies During a Test. That’s the Problem With AI Agents

Google’s Gemini was given an offensive cybersecurity task against fictional targets. Instead, during an evaluation in May 2026, the model accessed protected systems belonging to three real companies. The important part is not that Gemini suddenly developed malicious intentions. There is no evidence that it did. The model was doing what it had been instructed […]

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AI Industry • September 3, 2026

AI Isn’t Killing Software. It’s Creating a Cybersecurity Gold Rush

Artificial intelligence has spent the past few years eating budgets. GPUs, data centers, networking equipment and power infrastructure have absorbed billions as companies race to build and deploy increasingly capable models. But there is another side to the AI trade that receives considerably less attention: the more AI companies deploy, the more they have to […]

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