Description
Every economy is built on its foundational infrastructure. In the industrial age, it was factories, roads and railways. In the digital age, it was the cloud and connectivity.
Today, we are entering the AI economy, where data is the raw material and data centers are the new factories—transforming compute and data into intelligence and decisions.
Unlike traditional factories that ran on steel and steam, these AI factories run on silicon, software, and AI models. That’s why we're seeing an unprecedented $6.7 trillion being invested in data centers globally over the next five years. - Mckinsey
AI infrastructure differs from traditional infrastructure spend as organisations view AI as enterprise value creation, not an IT cost center. This isn’t just about the public cloud — The model is train centrally, infer everywhere.
AI will be hybrid, deployed wherever it makes the most sense, from enterprise data centers to the edge. Neocloud to public cloud.
AI more than traditional applications will drive multicloud with organisation accessing domain specific models, IP and data from different strategic and tactical providers and locations. Hence, Hybrid AI is the new norm, not the exception.
In this new economy, the 'currency' is the token—every word, image, or decision produced by AI has value and must be safeguarded, optimized, and understood to ensure the health of the AI economy.
