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News articleIEEE Spectrum

We’re Measuring Data Center Sustainability Wrong

View original at spectrum.ieee.org
IEEE Spectrum - Technical Title: We’re Measuring Data Center Sustainability Wrong Date: 2026-02-17 15:00 Source: https://spectrum.ieee.org/data-center-sustainability-metrics <img src="https://spectrum.ieee.org/media-library/a-pile-of-discarded-old-phones.jpg?id=64070651&width=1245&height=700&coordinates=0%2C156%2C0%2C1…
Opening lines of the source · IEEE Spectrum · short snapshot — read the full document at the original

What we drew from this source

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  • 30 percent of energy use in data centers can be reduced by changing just 30 lines of code

    80% confidence

  • Their data centers are 1.5x more energy efficient than industry average

    80% confidence

  • End-user devices globally emit 1.5 to 2 times more carbon than all data centers combined

    80% confidence

  • AI workloads will consume 6.7-12 percent of total U.S. electricity by 2028

    80% confidence

  • Approximately 75 percent of device emissions occur during manufacturing (embodied carbon)

    80% confidence

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Late-2026 biotech is driven by a dense catalyst calendar. ESMO 2026 delivers data from ivonescimab, Enhertu, R-DXd and bemarituzumab, and the FDA has set a 14 Nov PDUFA date for the ivonescimab BLA. Capital allocation is diverging. Krystal Biotech authorized a $400M buyback while lowering FY2026 spend guidance and pushing milestones into 2027. Spago is moving to delist from Nasdaq First North. The facts are clinical and corporate events, not AI or fintech, so the finance angle is limited to capital markets (buybacks, guidance, delistings, regulatory timelines).
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EPKINLY Regulatory-Clinical Success Cascade
High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.
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Where sources disagree
Ford Motor Company
Both facts give cash for Ford Motor Company at the same point in time (2025-12-31; FY 2025 year-end and Q4 2025 year-end are the same date). Both are labelled USD, but the values are 23,356,000,000 and 23.356, which cannot both be true in USD. The two numbers agree once the second is read as billions (23.356 bn = 23,356,000,000), so the economic content is consistent and the conflict is a unit/scale error in the Q4 2025 record. The period is not the reason for the conflict: a Q4 and an FY figure at the same year-end date should match.
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