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Dimensional Rotation (Moore’s Law)

The structural response Gordon Moore’s career documents when an exponential curve hits a physical wall: rather than stopping, the scaling trajectory rotates to a new dimension of growth—the move from clock speed to multi-core parallelism being the paradigm case, and the AI industry’s looming data, energy, and economic walls its most immediate test.
Every exponential scaling law eventually meets a physical limit, and the history Gordon Moore lived through provides both the clearest documentation of that encounter and the most instructive record of survival strategies. When Intel cancelled the Tejas processor in 2003 because the heat generated at four-plus gigahertz exceeded what any practical cooling solution could handle, the semiconductor industry did not abandon the trajectory that Moore’s Law had set. It rotated: instead of faster processors, it built wider ones, placing two then four then dozens of processing cores on a single chip. The overall computational throughput continued to increase roughly on the schedule Moore’s trend predicted, but the dimension of growth had changed from clock speed to parallelism. This pattern—exponential growth, physical limit, dimensional rotation to a new axis—is the structural signature of every sustained scaling law, and it is the
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