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Source document· May 15, 2026

AI data centers employ very few people: What the numbers how

View original at finance.yahoo.com
AI data centers employ very few people: What the numbers how A $10 billion data center campus in Lebanon, Indiana, will employ about 300 people once it is operational…
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  • The Lebanon, Indiana campus will represent more than $10 billion in regional investment, support more than 4,000 construction jobs at peak, and about 300 permanent jobs once operational.

    60% confidence
  • Hyperscale facilities create 100 to 1,000 permanent jobs depending on size, but the numbers are small relative to the capital deployed.

    60% confidence
  • An average retail data center using two to five megawatts employs about 30 permanent workers.

    60% confidence
  • Facilities exceeding 100 megawatts can operate with as few as 20 to 30 permanent staff per 100 MW.

    60% confidence
  • It costs $137,000 to create one job outside of the data center sector — about 100 times less capital investment per job than in the data center sector.

    60% confidence
  • TSMC's total US investment of $165 billion is expected to directly create 12,000 jobs once all sites are completed and fully operational.

    60% confidence
  • Ark Data Centers' $136 million Ohio campus expansion will yield exactly 10 permanent jobs.

    60% confidence
  • Virginia data centers generate just one permanent job for every $13 million invested.

    60% confidence
  • Amazon Web Services' $35 billion Virginia investment will create at least 1,000 total new jobs across the state.

    60% confidence
  • Industry benchmarks put permanent staffing at the most automated campuses at about 25 to 40 operators per 100 megawatts.

    60% confidence

Data points we hold from this source

Amazon Web Services · capital investment virginia35 USD
Amazon Web Services · capital per job35000000 USD
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Morgan Stanley & Co. LLC
Two significantly different EPS values (10.21 vs 2.68 USD_per_share) are reported for Morgan Stanley on the same observation date (2025-12-31). Fact A specifies FY 2025, while Fact B's 'N/A' fiscal period is ambiguous. If both represent FY 2025 annual EPS, these values directly conflict. The magnitude of the difference (3.8x) is too large to attribute to rounding or minor calculation variations. The missing fiscal period in Fact B raises data quality concerns, but same-date observation + same attribute should reference the same period.
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