Why the AI bubble isn’t what it seems

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🗞️ Driving the news: The "AI bubble" narrative is a misdiagnosis of the current technological landscape, according to Jason Snyder
• Rather than being a speculative bubble, AI’s rise is a fundamental transformation driven by energy
• AI operates not like traditional software, but like infrastructure — relying on energy consumption and thermodynamics
• Unlike past tech booms, the demand for AI infrastructure is real, with multi-year contracts from businesses and governments showing that this growth isn’t based on speculative value, but genuine need

🔭 The context: AI is powered by continuous computation, and every action requires significant electricity
• Nvidia and Microsoft report demand exceeding supply, showing an energy shortage for AI infrastructure, not speculative overvaluation
• The early days of past infrastructure, like electricity and railroads, looked irrational but became essential to modern economies
• Unlike previous booms, where demand was projected, AI demand is contractually guaranteed

🌍 Why it matters for the planet: As AI expands, its energy consumption will have a significant environmental impact
• Managing this demand with sustainable energy sources is critical to minimizing the ecological footprint of AI systems
• The key challenge ahead is balancing AI growth with responsible energy use

⏭️ What’s next: Governments must focus on energy-efficient AI models and sustainable infrastructure to manage AI’s environmental impact.
• The next phase of AI will require measuring its true costs, especially its environmental footprint, and ensuring sustainable development.

See on illuminem's Data Hub™ the sustainability performance of leading tech companies like Nvidia, Microsoft, and Apple

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