Equation 12 · Edge AI Electronics and Sensor Systems in 2035: Scenarios, Signals, and Falsifiable Predictions
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Scenario A — incremental compounding. continues to improve mainly through architecture, quantization, and process refinements within digital CMOS, compounding at a slowing but still positive rate as the Horowitz-style voltage floor is approached more closely each generation. Event cameras and neuromorphic processors remain concentrated in the applications where their narrow strengths already fit — industrial sensing, some automotive perception, always-on wake tasks — without breaking into general-purpose vision. On-device privacy architecture spreads because it is commercially and operationally convenient under AI Act-style obligations, not because any law explicitly mandates it.…
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Scenario A — incremental compounding. continues to improve mainly through architecture, quantization, and process refinements within digital CMOS, compounding at a slowing but still positive rate as the Horowitz-style voltage floor is approached more closely each generation. Event cameras and neuromorphic processors remain concentrated in the applications where their narrow strengths already fit — industrial sensing, some automotive perception, always-on wake tasks — without breaking into general-purpose vision. On-device privacy architecture spreads because it is commercially and operationally convenient under AI Act-style obligations, not because any law explicitly mandates it. Assumption: no compute-in-memory or comparable approach reaches high-volume manufacturable yield at competitive cost before 2035.
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