Category: AI_research

AI, AI_factories, AI_research, China, ChipsLeave a comment

China Unleashes $28 Trillion Capital Markets to Challenge US in AI

Colin Henderson

 Summarize ​ The strategy marks a break from Beijing’s reliance on subsidies and state funding. August 9, 2026 at 5:00 PM EDT Even by the frothy standards of the AI era, CXMT Corp.’s trading debut in Shanghai last month was extraordinary. Within a few hours, the memory chip maker — seen as Beijing’s best hope of reducing reliance on foreign suppliers and challenging the US in AI — surged more than 500% to become the most valuable stock in mainland China, eclipsing Industrial and Commercial Bank of China Ltd., which held the top spot for years. The frenzy was the culmination of one … Continue reading China Unleashes $28 Trillion Capital Markets to Challenge US in AI

AI, AI_factories, AI_researchLeave a comment

The AI Boom Is Transforming the American Economy Beyond Recognition

Colin Henderson

 Summarize ​ AI has rapidly become a huge economic factor while affecting everything from capital investment to how much you pay for an iPhone Justin LahartAug. 3, 2026 at 9:00 pm The U.S. economy keeps putting more eggs in the artificial-intelligence basket.  Tech companies are spending hundreds of billions of dollars to meet AI computing needs and issuing billions of dollars of debt to help make those purchases. The rapid data-center build-out is powering construction spending, hiring and municipal revenues. Meanwhile, a stock-market rally fueled by the rise in shares of chip makers and other companies benefiting from the AI … Continue reading The AI Boom Is Transforming the American Economy Beyond Recognition

AI_factories, AI_research, Business ModelsLeave a comment

The Impending, Inescapable Deluge of A.I.

Colin Henderson

 Source NYT July 29, 2026 The milestones for artificial intelligence keep getting grander. In 2023, an A.I. system passed the bar exam. In 2025, the technology helped scientists identify a suspected cause of Alzheimer’s disease. In May, A.I. had advanced so far that it solved a complex math problem that had stumped experts for 80 years. Last week, two A.I. systems under testing went rogue and hacked into a company’s database. And this is still just the beginning. From the American Midwest to the Persian Gulf, hundreds of major data centers now under construction will be turned on in the coming years. They are … Continue reading The Impending, Inescapable Deluge of A.I.

Agents, AGI, AI_factories, AI_research, banking, Business Models, Development, Frontier_AI

Exploration of thesis: “Saas shift to Gaas”. What are impacts on Core Banking software vendors and regulatory regimes

Colin Henderson

(Gaas – Agentic AI as a service – source NVDA) Here is some real time research that emanates from today’s Morning Briefing. The core of this disussion is the shif to Agentic AI and provision of core services which goes to the heart of commoditisation for tranditional vendors. The scope of this discussion here is on core banking software vendors and banking regulatory regimes OSFI. Explanation 1. Prompt: my comments and questions 2. Output: results from Claude.ai This is raw realtime thinking. The space is moving fast driven by frontier development with Anthropic Claude Mythos exemplifying the direction of Gaas … Continue reading Exploration of thesis: “Saas shift to Gaas”. What are impacts on Core Banking software vendors and regulatory regimes

AI, AI_research, Economics

The paper “Transformative AI, existential risk, and real interest rates” by Trevor Chow, Basil Halperin, and J. Zachary Mazlish (August 2025)

Colin Henderson

Summary of Key Argument The core thesis of the paper is that macro-financial indicators—specifically, long-term real interest rates—can serve as a market-based “outside view” for forecasting the likelihood and timing of transformative AI (TAI, roughly equivalent to AGI or “superintelligence”) development. The mechanism underpinning this association is straightforward economic theory: Empirically, the authors find—contrary to some prior literature—a robust positive relationship between long-term growth expectations and real interest rates, using: Key Findings and Contributions Topic Paper’s Position & Evidence Interest rates as a forecasting tool Theoretically, both AI-driven rapid growth and existential risk should increase long-term real rates. Empirical evidence … Continue reading The paper “Transformative AI, existential risk, and real interest rates” by Trevor Chow, Basil Halperin, and J. Zachary Mazlish (August 2025)

AI, AI_factories, AI_research, Infrastructure

A comprehensive comparison between ‘compute’ and ‘inference’ in AI

Colin Henderson

An integrated analysis of technological, infrastructural, and operational factors including AI Factories, Data Centres, development practices, chips, and overall infrastructure. The following report—structured in APA format—presents a formal, detailed comparative overview, incorporating relevant business, academic, and technical sources.Source: Perplexity.ai Compute and Inference: Definitions and Context Compute generally refers to the computational resources required for both training and running AI models, whereas inference is the process by which a trained model makes predictions or decisions on new data. Compute is foundational for both the intensive process of AI model training and the comparatively lightweight process of model inference. AI inference utilizes … Continue reading A comprehensive comparison between ‘compute’ and ‘inference’ in AI

AI_factories, AI_research

Roadmap for AI Adoption in the Era of AI Factories: People, Process, Technology Draft01

Colin Henderson

The transition from hyperscaler-dominated AI infrastructure to distributed, sovereign AI Factories (2024–2045) marks a paradigm shift for organizations of all sizes. As AI Factories become the foundation for real-time, scalable, and sovereign intelligence manufacturing, businesses—small, medium, and large—must strategically align their people, processes, and technology to remain competitive and resilient[1][2]. Below is a comprehensive, size-agnostic roadmap, with tailored considerations for small, medium, and large enterprises, structured within the People, Process, Technology (PPT) framework. 1. People: Culture, Skills, and Change Management Universal Actions: By Company Size: Size Focus Areas Small Upskill a core team; leverage external AI consultants or managed services … Continue reading Roadmap for AI Adoption in the Era of AI Factories: People, Process, Technology Draft01

AI_factories, AI_research, Business Models, Palantir

Palantir Advocates for Balanced Data Privacy Legislation in RFI Response

Colin Henderson

This blog post highlights Palantir’s response to a Request for Information from the House Energy and Commerce Committee’s Privacy Working Group, which is exploring the creation of a national data privacy law. For more information about Palantir’s contributions to AI Policy, visit our website here. Introduction In April, Palantir submitted a response to a Request for Information from the House Energy and Commerce Committee’s Privacy Working Group regarding its efforts to develop a federal comprehensive data privacy and security law. How the federal government finally works to resolve the challenges of a patchwork of consumer privacy legislation is not just … Continue reading Palantir Advocates for Balanced Data Privacy Legislation in RFI Response

AI_factories, AI_research, Infrastructure

The Evolution of AI Infrastructure: From Hyperscaler Dominance to the Rise of AI Factories (2024–2045)

Colin Henderson

The global landscape of artificial intelligence (AI) infrastructure is undergoing a profound transformation, shifting from the current era dominated by hyperscalers—massive cloud providers such as Amazon Web Services, Microsoft Azure, and Google Cloud—towards a future where AI Factories, purpose-built and sovereign-controlled facilities for manufacturing intelligence, are poised to prevail. This report provides a comprehensive analysis of this evolution, examining the technological, economic, and geopolitical forces shaping the transition. Drawing on recent market data, industry forecasts, and emerging trends, the report details the limitations of the hyperscaler model, the architectural and operational innovations of AI Factories, and the implications for global … Continue reading The Evolution of AI Infrastructure: From Hyperscaler Dominance to the Rise of AI Factories (2024–2045)