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Source document· February 19, 2026

AI: The companies hurting the most from latest infrastructure boom

View original at finance.yahoo.com
AI: The companies hurting the most from latest infrastructure boom US stocks (^DJI, ^IXIC, ^GSPC) closed Wednesday's session in positive territory — the Nasdaq Composite leading the way in gains — as investors ease up around AI worries tied to last week's sell-off in the software sector…
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  • 2026 will be more of an idle year with next year being more positive

    80% confidence
  • Taiwan Semiconductor is a good play not just for 2026 but for the balance of this decade

    80% confidence
  • US markets are dominated by three sectors: Information technology, communication services, and consumer discretionary, while international developed markets are dominated by health care and financials

    80% confidence
  • More short-term bouts of volatility expected throughout 2026

    80% confidence
  • International has been significantly outperforming the US over the course of the last full one-year period

    80% confidence
  • The international outperformance divergence may not continue due to multiple tailwinds for US markets including deregulation, potential interest rate reductions in second half of year, and massive CAPEX spending

    80% confidence
  • Investors are wise to question the amount of spending software companies are doing on AI and how they're financing it, but they need to be patient because ROI won't be seen for years

    80% confidence
  • AI infrastructure spending is not even at a trillion dollars right now

    80% confidence
  • Iron Mountain pivoted from storing paper documents to leasing excess warehouse space to data centers

    80% confidence
  • Looking back to 1950, there have been five times where the stock market rallied double digits over three consecutive years, and in the fourth year the market was only positive 40% of the time with average return under 20 basis points

    80% confidence
  • The Federal Reserve's neutral rate for Fed funds target rate is 3%, currently at 3.5% to 3.75%

    80% confidence
  • The new Federal Reserve chair won't be as dovish as many had earlier thought

    80% confidence
  • The market can continue to move higher without Fed rate cuts if the economy is still growing, inflation is moderating, and employment remains stable

    80% confidence
  • Duke Energy pays a dividend yield of about 3.3%, trades at 18 times forward earnings, and stock is up over 10% year to date

    80% confidence
  • There will be between 3 and 4 trillion dollars spent on AI infrastructure by the end of this decade

    80% confidence
  • Emerging markets are outperforming developed markets within international equities

    80% confidence
  • International markets have been outperforming US markets, with international up around 9% while S&P 500 is up less than 1% so far in 2026

    80% confidence
  • By the second year after three consecutive double-digit years, the market is higher 100% of the time by an average return of 27%

    80% confidence
  • Taiwan Semiconductor stock is up 20% year to date

    80% confidence
  • Maybe two rate cuts towards the second half of 2026

    80% confidence
  • Duke Energy owns and operates 11 different nuclear sites on six different locations in North and South Carolina

    80% confidence
  • Data center maintenance goes on in perpetuity unlike data center construction

    80% confidence
  • There are multiple market rotations taking place in 2026: small cap over large cap, value over growth, and international over US

    80% confidence
  • For immediate growth, investors should look to AI infrastructure names in construction, power, and cooling rather than software companies

    80% confidence

Data points we hold from this source

What we know · the intelligence behind this page
Live from the substrate
What we're seeing
Enterprise AI Agents Scale Up Through Partnerships and Funding, But Data Readiness Lags Ambition
A wave of vertical AI-agent startups (Swarm, Veridox, Avallon AI, DA2, F2, Earthian, Meanwhile, Covecta, Penguin AI, Maisa AI) is being funded and profiled just as major infrastructure players — Microsoft/Mistral, Siemens/NVIDIA, and Manulife/Microsoft — cement enterprise AI governance and compute partnerships. Yet a Google Cloud report shows AI agents still lack access to the majority of company data (only 45% on average), and insider selling at incumbent C3.ai signals investor caution even as adoption intent (100% planned agentic AI use within two years) races ahead of actual data infrastructure.
Our read on the data ›
Signals we're tracking
Satellite-Terrestrial Network Integration Acceleration
Increased investment and launches in hybrid satellite-cellular networks across telecom industry; competitive responses from other carriers; regulatory activity around satellite spectrum; expansion of emergency/rural connectivity use cases
Patterns we're watching ›
Where sources disagree
Berkshire Hathaway
Both facts report Berkshire Hathaway's cash position on 2026-01-01 with identical observation timestamps, but claim vastly different values: 380 billion USD vs 400 USD. These cannot both be true for the same entity at the same point in time. The magnitude of the discrepancy (a factor of ~10^9) rules out rounding, unit conversion, or methodological differences.
We flag conflicts openly ›
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