AI tools promise efficiency, but London studios are discovering an unexpected paradox: automation creates new bottlenecks requiring precisely the expertise being eliminated. We investigate what's actually happening to entry-level design work.

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The Inference Economy: Why Running AI Models Just Got Cheaper Than Training Them

The Inference Economy: Why AI’s Biggest Cost Shift Is Happening After Training

A major shift in AI economics is reshaping the industry. As training frontier models becomes more expensive and inference becomes dramatically cheaper, companies are being forced to rethink how they build, deploy, price, and monetise intelligent systems.

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The Emergence of Small Language Models: Why Efficiency Is Overtaking Scale

As the AI industry confronts computational costs and environmental concerns, a new generation of compact models is proving that bigger isn't always better. Small language models are reshaping enterprise AI deployment.

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