Grenadian Prime Minister Dickon Mitchell is calling for Caribbean policymakers and business leaders to recognise the significance of artificial intelligence technologies. Artificial intelligence, or AI, refers to the ability of computer systems to do tasks that typically require human intelligence, such as learning, reasoning, problem-solving, and decision-making. more
Unlike past technological shifts, artificial intelligence is automating high-skilled professions before low-skilled ones. This reversal challenges long-held assumptions about job security, expertise, and governance, forcing policymakers to rethink regulation, trust, and digital sovereignty. more
Granular regulation offers a new governance framework for AI, blending flexibility with enforceability. By translating broad principles into risk-sensitive, technical mandates, it overcomes the rigidity of rule-based models and the vagueness of principle-based approaches. more
Over the past decade, cloud computing has experienced explosive growth, evolving from its nascent stage to widespread adoption and fundamentally changing how businesses and individuals use information technology. At the same time, traditional on-premise computing, while still having its use cases, has been progressively integrated with, and often even controlled by, Cloud Service Providers (CSPs) in many aspects. more
As AI shifts from experimentation to real-world deployment, its unseen foundation - undersea cables - emerges as a strategic frontier. Their resilience may shape not only infrastructure policy but the outcome of US-China AI competition. more
Starlink is leveraging its growing dominance with data-hungry AI ambitions, regulatory demands, and space infrastructure plans. A merger with xAI could solidify its position as an unregulated gatekeeper of orbital connectivity and intelligence. more
As policymakers search for an IAEA for AI, lessons from ICANN and internet governance loom large, raising questions about multistakeholder legitimacy, mission creep, technical fragmentation and whether AI demands sector-specific regulation rather than grand global architectures. more
At NANOG 96, the AI boom dominated discussions as firms race to build gigawatt-scale data centres packed with advanced GPUs, liquid cooling, and lossless networks, raising fears of overinvestment, neglected security priorities, and a looming infrastructure bubble. more
A three-decade natural experiment suggests America's centralized regulatory review fostered far greater wealth creation than Europe's precautionary principle, raising stark questions about whether importing EU-style AI rules would undermine US innovation and prosperity. more