Journal

Blog

Project updates, case studies, and tutorials documenting how Beag Labs approaches applied AI systems in practice.

opinion

The $1.4 Trillion Circular Economy: How AI Capital Flows in a Closed Loop

A closer look at the AI industry reveals that much of its capital circulates within a closed loop of the same two dozen companies—Microsoft, NVIDIA, OpenAI, Anthropic, and their hyperscaler partners. Is this sustainable growth or a self-referential financial engine?

ai-economics / nvidia
opinion

The Great AI Divergence: How Frontier Models Concentrate Wealth at the Top

92% of AI industry revenue flows to just six companies. The IMF warns AI will worsen inequality. The top 0.1% captures nearly all gains while middle-skill workers face displacement. The data on AI’s wealth concentration is unambiguous.

ai-inequality / wealth-concentration
opinion

AI’s Hidden Price Tag: 448 TWh, 208 Million Tons of CO₂, and 1.2 Trillion Gallons of Water

The United Nations University projects that by 2030, AI data centers will consume 448 TWh of electricity and 1.2 trillion gallons of water annually, generating 208 million metric tons of CO₂ equivalent. The environmental cost of the AI boom is not reflected in any API pricing.

ai-environment / data-centers
opinion

OpenAI Lost $20.9 Billion in 2025. Here’s Why That’s Everyone’s Problem.

OpenAI reported a $20.9 billion operating loss in 2025 on just $13 billion in revenue—the largest loss ever by a private tech company. When the unit economics of frontier AI are this inverted, the consequences ripple to every business building on the API.

ai-economics / openai