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AI's explosive demand for high-bandwidth memory (HBM) is causing an unprecedented reallocation of DRAM production from consumer devices to data centers, leading to massive price surges for smartphone memory. This crisis is pushing affordable smartphones out of reach for millions, particularly in developing nations, and impacting premium brands as memory makers prioritize highly profitable AI chips.
AI coding tools have fundamentally altered software development economics, making building code faster and cheaper than extensive planning. This shift has moved the bottleneck from execution to strategic judgment, requiring engineers and leaders to prioritize problem identification, design, and rapid iteration. Companies like Synthesia are pioneering new development models focused on speed of learning over sheer code output.
For years, the argument against introducing an interface or an abstract class in a codebase often boiled down to efficiency: "That's twice the code for the same thing." This perspective, especially prevalent in
