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We let Chrome’s Auto Browse agent surf the web for us—here’s what happened

We are now a few years into the AI revolution, and talk has shifted from who has the best chatbot to whose AI agent can do the most things on your behalf. Unfortunately, AI agents are still rough around the edges, so tasking them with anything important is not a great idea. OpenAI launched its […]

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How insurance leaders use agentic AI to cut operational costs

Agentic AI offers insurance leaders a path to scalable efficiency as the sector confronts a tough digital transformation. Insurers hold deep data reserves and employ a workforce skilled in analytic decision-making. Despite these advantages, the industry has largely failed to advance beyond pilot programmes. Research suggests only seven percent of insurers have scaled these initiatives

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Agentic AI in healthcare: How Life Sciences marketing could achieve US$450bn in value by 2028

Agentic AI in healthcare is graduating from answering prompts to autonomously executing complex marketing tasks—and life sciences companies are betting their commercial strategies on it. According to a recent report cited by Capgemini Invent, AI agents could generate up to US$450 billion in economic value through revenue uplift and cost savings globally by 2028, with 69% of

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Exclusive: Why are Chinese AI models dominating open-source as Western labs step back?

Because Western AI labs won’t—or can’t—anymore. As OpenAI, Anthropic, and Google face mounting pressure to restrict their most powerful models, Chinese developers have filled the open-source void with AI explicitly built for what operators need: powerful models that run on commodity hardware. A new security study reveals just how thoroughly Chinese AI has captured this space. Research published by SentinelOne

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Goldman Sachs tests autonomous AI agents for process-heavy work

Goldman Sachs is pushing deeper into real use of artificial intelligence inside its operations, moving to systems that can carry out complex tasks on their own. The Wall Street bank is working with AI startup Anthropic to create autonomous AI agents powered by Anthropic’s Claude model that can handle work that used to require large

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How separating logic and search boosts AI agent scalability

Separating logic from inference improves AI agent scalability by decoupling core workflows from execution strategies. The transition from generative AI prototypes to production-grade agents introduces a specific engineering hurdle: reliability. LLMs are stochastic by nature. A prompt that works once may fail on the second attempt. To mitigate this, development teams often wrap core business

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Why Darren Aronofsky thought an AI-generated historical docudrama was a good idea

Last week, filmmaker Darren Aronofsky’s AI studio Primordial Soup and Time magazine released the first two episodes of On This Day… 1776. The year-long series of short-form videos features short vignettes describing what happened on that day of the American Revolution 250 years ago, but it does so using “a variety of AI tools” to

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Intuit, Uber, and State Farm trial AI agents inside enterprise workflows

The way large companies use artificial intelligence is changing. For years, AI in business meant experimenting with tools that could answer questions or help with small tasks. Now, some big enterprises are moving beyond tools and into AI agents that can actually do work across systems and workflows, not just answer prompts. This week, OpenAI

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AI Expo 2026 Day 2: Moving experimental pilots to AI production

The second day of the co-located AI & Big Data Expo and Digital Transformation Week in London showed a market in a clear transition. Early excitement over generative models is fading. Enterprise leaders now face the friction of fitting these tools into current stacks. Day two sessions focused less on large language models and more

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AI Expo 2026 Day 1: Governance and data readiness enable the agentic enterprise

While the prospect of AI acting as a digital co-worker dominated the day one agenda at the co-located AI & Big Data Expo and Intelligent Automation Conference, the technical sessions focused on the infrastructure to make it work. A primary topic on the exhibition floor was the progression from passive automation to “agentic” systems. These

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