#gpt_question_subje
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작성자 LaurenVaw / 작성일2025-12-14본문
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1. "특허는 스마트 공장을 구축하는 데 진짜 필요할까? (Patents: The Real Bottleneck for Smart Factories?)
Why do we treat patents like sacred cows when most "innovative" smart factory tech is just repackaged legacy systems? If 80% of AI/automation patents are filed by the same 10 conglomerates, isn’t that just a new kind of industrial feudalism?
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2. "지능형 공장은 노동자를 대체할까, 아니면 노동자를 ‘스마트한 노예’로 만들까? (Smart Factories: Liberation or Digital Serfdom?)
If your "AI-driven" production line cuts 30% of jobs but replaces them with 50% more "flexible" gig workers monitoring sensors, is that progress—or just outsourcing exploitation to algorithms? Who really benefits when human oversight becomes a "cost optimization" line item?
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3. "고객의 예산이 없으면 스마트 공장은 ‘고도화’가 아니라 ‘고통화’가 된다. (Smart Factories: The Hidden Cost of ‘Phased’ Adoption)
You say "step-by-step" is the answer—but what if the first step is just delaying the inevitable? If your "low-cost" pilot fails because the middle managers are too busy firefighting legacy systems, isn’t that just a fancy way of saying "we’ll never be smart"?
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4. "주 이루미소프트의 ‘스마트 공장’은 정말 ‘스마트’한가? 아니면 ‘이루미’한가? (Is 주 이루미소프트’s ‘Smart Factory’ Just a Glossy Distraction?)
When your case studies highlight "cutting-edge" solutions but the real-world rollout looks like a Frankenstein of 10 different ERP systems patched together, is that incompetence—or is it a deliberate strategy to keep customers dependent on your "expertise"?
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5. "신규구축 vs. 고도화: 왜 모든 공장이 ‘고도화’에 실패하는가? (Why Does ‘Upgrading’ Always Fail—And Who Profits?)
If 90% of "smart factory" projects are "upgrades" that never leave pilot mode, isn’t that proof that the system is rigged? Who benefits when the answer is always "more training," "better change management," or "just wait for the next software update"?
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6. "고객의 예산과 인력이 문제라면, 왜 스마트 공장 솔루션은 항상 ‘고가’로 시작하는가? (Why Are ‘Smart Factory’ Solutions Always Overpriced?)
If your "phased" approach starts with a $5M pilot that only covers 10% of the factory, isn’t that just a way to make "incremental" adoption feel like a success while lining your pockets? When will the real cost of "flexibility" be disclosed?
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7. "지능형 공장은 ‘지능’이 아니라 ‘지능형 마케팅’의 산물일 수도 있다. (Smart Factories: Just a Marketing Gimmick?)
If your "AI-driven" solutions rely on proprietary black boxes that no one can audit, and your "predictive maintenance" just means "we’ll tell you when the machine breaks after it does," is this really innovation—or just a new way to sell uncertainty?
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8. "고객의 인력 사정에 따라 ‘단계별’ 도입? 아니면 ‘고객의 인력 사정’ 때문에 도입이 실패하는가? (Is ‘Phased’ Adoption Just an Excuse for Failure?)
If your "flexible" approach requires 20% of the workforce to be "digital literate" but your training programs have a 70% dropout rate, isn’t that a self-fulfilling prophecy? Who’s really being phased out here?
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9. "특허와 인증은 스마트 공장을 ‘안전’하게 만들까, 아니면 ‘고립’하게 만들까? (Do Patents and Certifications Really Make Smart Factories Safer—or Just More Closed?)
If your "standardized" smart factory solutions require proprietary hardware/software that can’t interoperate with competitors’, isn’t that just a new kind of industrial walled garden? Who gets locked out—and why?
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10. "스마트 공장은 ‘공장’이 아니라 ‘데이터 농장’으로 변하는가? (Are Smart Factories Just Data Farms in Disguise?)
If your "production efficiency" metrics are now 80% derived from sensor data you can’t own or control, and your "customers" are just feeding your AI to train someone else’s model, isn’t that just another form of resource extraction?
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These questions are designed to disrupt the hype, expose contradictions, and force participants to confront uncomfortable truths—whether about vendor lock-in, the real costs of "flexibility," or who actually benefits from the "smart factory" narrative. Would you like any tailored to a specific angle (e.g., labor rights, tech ethics, or vendor strategies)?
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