Artificial intelligence has moved far beyond novelty. It now writes, summarizes, predicts, recommends, diagnoses, and increasingly decides. From boardrooms to classrooms, AI systems are embedded into daily cognitive labor. The dominant narrative frames this shift as acceleration, faster thinking, greater efficiency, amplified intelligence. Yet a deeper transformation is underway, one that is not about how fast intelligence operates, but about the conditions under which thinking itself occurs....

The artificial intelligence hardware industry is entering one of its most consequential transitions since the rise of general-purpose GPUs as the backbone of modern machine learning. Nvidia’s reported $20 billion strategic licensing agreement with Groq is not merely a talent acquisition or a defensive maneuver against competitors; it is an implicit admission that the era of the monolithic, one-size-fits-all GPU is nearing its limits. What is unfolding is a structural reconfiguration of the AI...

The rapid ascent of artificial intelligence has ushered in an era of unprecedented technological ambition. From generative AI chatbots to autonomous vehicles, the computational demands of AI are surging exponentially. Central to this ecosystem are data centers, the physical nerve centers that house the servers and GPUs enabling AI breakthroughs. Yet, as 2025 draws to a close, a stark challenge has emerged: AI data centers face critical power shortages and infrastructure bottlenecks that...