How Kevin Approaches It
Kevin separates the tool from the assumption. He shows precisely what AI does well, pattern, repetition, scale, optimisation, and what it still does badly, judgement in ambiguity, design intent, trust, originality, reading a customer. For an engineering-minded Taiwanese audience, drawing that line clearly turns a vague sense of change into a concrete plan.
From there he shows what adaptability requires: using the tools as leverage rather than assuming immunity, moving deliberately toward the higher-value work around the automated core, and treating each change in the job as something to learn. This is how a Taiwanese workforce turns AI from something it merely supplies into something that lifts its own value.
Kevin does not pretend the routine work is safe because Taiwan builds the chips. He is honest that much of it will be automated, which is exactly why adaptability, not complacency, is what protects a career and a firm.