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Source document· February 18, 2026

Bitcoin Can Send 'Any Amount' Of Money Anywhere On Earth In Minutes On A Bank Holiday, Says Michael Saylor — Critics Aren't Buying It

View original at finance.yahoo.com
Bitcoin Can Send 'Any Amount' Of Money Anywhere On Earth In Minutes On A Bank Holiday, Says Michael Saylor — Critics Aren't Buying It Benzinga and Yahoo Finance LLC may earn commission or revenue on some items through the links below…
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  • Bitcoin's low fees are not the result of innovation but of historically low transaction demand

    80% confidence

  • Bitcoin can send any amount of money anywhere on earth in minutes on a bank holiday for $0.44

    80% confidence

  • Scalability and bandwidth concerns from the 2015-17 blocksize wars have been overcome by markets and innovation

    80% confidence

  • Low Bitcoin fees reflect lack of use, and future halvings will threaten miner viability as subsidy plus fees become insufficient

    80% confidence
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Enterprise finance software vendors—BlackLine, OneStream, Numero AI, and Oracle—are racing to embed autonomous AI agents into core financial operations (close, consolidation, reporting), backed by consolidation M&A (Numero-Royu, BlackLine-WiseLayer), fresh leadership hires, and survey data showing nearly a quarter of CFOs plan to boost AI spending over 50%. Adoption momentum is strong even as at least one bellwether (Oracle) sees its stock lag year-to-date, suggesting the market hasn't yet fully priced in the shift from AI-as-feature to AI-as-agent in finance.
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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
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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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