IBRS Analysis Insight Judgement

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Kimi K3 enters a competitive LLM market and, like Deepseek before it, disrupts the economics of AI-powered software development workflows and AI-enabled knowledge work. Its advertised 1-million-token context window offers theoretical capacity for data-intensive enterprise work: navigating large codebases and long-form knowledge synthesis.

The past month’s inquiries highlight a critical focus for senior ICT executives: strategic alignment and practical implementation of data, governance, and architecture. Specifically, there has been a surge in interest in planning for migrations, particularly to Microsoft’s Power Platform and Azure. This comes as interest in Copilot surges, with organisations exploring its applications while grappling with associated governance and ethical considerations.

A new US strategy to ban competing AI models aimed at slowing China’s gains in the tech race highlights a growing fear: cheap alternatives could crash the multibillion-dollar AI market. Dr Joe Sweeney suggests that China is outpacing all other nations in cultivating AI experts and securing tech-related patents by a significant margin, whereas the US relies heavily on importing its top technical talent. At its core, AI model performance hinges on the expertise of the professionals refining them.

In an interview with Capital Brief for their article on ‘HFT firms target IREN as ‘retail mania’ for AI fuels extreme volatility,’ July 2026, Dr Joseph Sweeney has made a few observations regarding the volatility of the neocloud market.

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IBRS advisor, Dr Joe Sweeney, thinks that big data centre operators are right to be worried. The global dominance of NVIDIA faces severe structural threats as geopolitical pressures and architectural shifts erode its market monopoly. Following US export controls, NVIDIA’s market share in China collapsed from 95 per cent to near zero, rapidly catalysing a domestic Chinese GPU ecosystem featuring eight viable vendors, including Huawei.

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This interactive webinar explored the human side of artificial intelligence: the economics of adopting new technology, its impact on people, and how people in turn shape how the technology is used. While much of the current market conversation centres on Microsoft Copilot, the themes apply equally to Claude, ChatGPT, Gemini, DeepSeek and other tools. A presentation kit has been made available for attendees to carry the discussion into their own organisations.

Every morning I wake up, log in to my research feeds, and read about the ‘AI War’. Pundits talk about epochal battles, national security moats, and civilisational challenges as if Silicon Valley executives are currently commanding legions of digital centurions. Governments ban AI models as weapons of mass distraction. They change their minds five days later. But let’s be honest. Generative AI is not a war. It’s not even a bar fight.