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Claim Text
Labor shortages, supply chain bottlenecks, and regulatory hurdles could delay grid connections, chip availability, and data center expansion—slowing overall AI adoption and innovation.
Simplified Text
Shortages bottlenecks hurdles could delay AI adoption innovation
Confidence Score
0.800
Claim Maker
The author
Context Type
Article
Context Details
{
    "impact": "delayed AI adoption and innovation",
    "industry": "AI",
    "constraints": [
        "labor shortages",
        "supply chain bottlenecks",
        "regulatory hurdles"
    ]
}
Subject Tags
Technology AI Supply Chain
UUID
9fdb53b1-3501-4e79-8264-8deddb268f07
Vector Index
✗ No vector
Created
September 12, 2025 at 2:18 AM (15 hours ago)
Last Updated
September 12, 2025 at 2:18 AM (15 hours ago)

Original Sources for this Claim (1)

All source submissions that originally contained this claim.

Screenshot of https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/the-cost-of-compute-a-7-trillion-dollar-race-to-scale-data-centers
The cost of compute: A $7 trillion race to scale data centers
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Analysis
54 claims 🔥
15 hours ago
https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/the-cost-of-compute-a-7-trillion-dollar-race-to-scale-data-centers

AI infrastructure investments could reach $7.9 trillion. McKinsey analyzes challenges like supply chain constraints and geopolitical risks, advising strategic investment for competitive advantage.

Artificial Intelligence
Data Centers
Compute Infrastructure
Investment
Technology
McKinsey
Cloud Computing
Energy
Infrastructure Investment
Supply Chain

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