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AI Factories: The New Operating Model for Intelligence

  • Writer: Gaurav Bhasin
    Gaurav Bhasin
  • Apr 15
  • 1 min read

We're at an inflection point in enterprise AI, and most companies are still measuring the wrong things.


Allied Advisers is pleased to present our 2026 Sector Update: AI Factories, The New Operating Model for Intelligence.


For years, the AI conversation centered on model training: who has the biggest model, the most parameters, the best benchmark scores. That era is over.


The central finding: INFERENCE (running the model) has become the dominant AI workload, and its reshaping infrastructure, economics, and enterprise strategy from the ground up.


📌 Inference accounts for 80–90% of an AI system's lifetime cost.


This shift is why leaders like Jensen Huang (NVIDIA) no longer describe data centers as compute hubs. They're AI factories: purpose-built systems that convert data, compute, and energy into intelligence at scale. The companies that win won't just build AI. They'll operate it, embedding intelligence into workflows as a continuous, measurable business output.


The report covers:


✅ What's driving the shift from data centers to AI factories

✅ How inference is reshaping AI economics

✅ Infrastructure, silicon, and enterprise strategy implications

✅ What the next phase of AI factories looks like


We work with founders and investors navigating this landscape. If you're thinking about where AI infrastructure is heading, or where M&A activity will concentrate in this space, we'd love to connect.



 
 

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