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AI agents prefer Bitcoin shaping new finance architecture

agentic ai, agents, ai, AI (Artificial Intelligence), AI Business Strategy, Artificial Intelligence, Bitcoin, Blockchain, Crypto, digital assets, Finance, Finance AI, Fintech, Governance, Regulation & Policy, How It Works, Inside AI, payments, Retail, Retail & Logistics AI, World of Work

AI agents prefer Bitcoin for digital wealth storage, forcing finance chiefs to adapt their architecture for machine autonomy. When AI systems gain economic autonomy, their internal logic dictates how corporate capital flows. Non-partisan research by the Bitcoin Policy Institute evaluated how these frontier models would transact if operating as independent economic actors. The study tested […]

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ASML’s high-NA EUV tools clear the runway for next-gen AI chips

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The machine that will make tomorrow’s AI chips possible has just been declared ready for mass production–and the clock for the industry’s next leap has officially started. ASML, the Dutch company that holds a global monopoly on commercial extreme ultraviolet lithography equipment, confirmed this week that its High-NA EUV tools have crossed the threshold from

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Anthropic: Claude faces ‘industrial-scale’ AI model distillation

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Anthropic has detailed three “industrial-scale” AI model distillation campaigns by overseas labs designed to extract abilities from Claude. These competitors generated over 16 million exchanges using approximately 24,000 deceptive accounts. Their goal was to acquire proprietary logic to improve their competing platforms. The extraction technique, known as distillation, involves training a weaker system on the

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How disconnected clouds improve AI data governance

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Disconnected clouds aim to improve AI data governance as businesses rethink their infrastructure under tighter regulatory expectations. Ensuring operational continuity in isolated environments has become increasingly vital for businesses. Facilities lacking continuous internet access face unique constraints where external dependencies become unacceptable. Microsoft recently expanded its capabilities to allow regulated industries and public sectors to

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Hitachi bets on industrial expertise to win the physical AI race

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Physical AI–the branch of artificial intelligence that controls robots and industrial machinery in the real world–has a hierarchy problem. At the top, OpenAI and Google are scaling multimodal foundation models. In the middle, Nvidia is building the platforms and tools for physical AI development.  And then there is a third camp: industrial manufacturers like Hitachi

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How separating logic and search boosts AI agent scalability

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

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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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Microsoft unveils method to detect sleeper agent backdoors

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Researchers from Microsoft have unveiled a scanning method to identify poisoned models without knowing the trigger or intended outcome. Organisations integrating open-weight large language models (LLMs) face a specific supply chain vulnerability where distinct memory leaks and internal attention patterns expose hidden threats known as “sleeper agents”. These poisoned models contain backdoors that lie dormant

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

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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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Franny Hsiao, Salesforce: Scaling enterprise AI

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Scaling enterprise AI requires overcoming architectural oversights that often stall pilots before production, a challenge that goes far beyond model selection. While generative AI prototypes are easy to spin up, turning them into reliable business assets involves solving the difficult problems of data engineering and governance. Ahead of AI & Big Data Global 2026 in

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