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Source document· March 2, 2026

Michael Saylor Once Said You Should Master This Technology To Get Wealthy: Bitcoin Billionaire Wants People To Set Their Egos Aside To Achieve Success

View original at finance.yahoo.com
Michael Saylor Once Said You Should Master This Technology To Get Wealthy: Bitcoin Billionaire Wants People To Set Their Egos Aside To Achieve Success Benzinga and Yahoo Finance LLC may earn commission or revenue on some items through the links below…
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  • AI contains the collective wisdom of every great entrepreneur available at your fingertips

    80% confidence
  • Saylor consults AI before seeking counsel from legal team, arguing with AI to find solutions

    80% confidence
  • People should set their egos aside and have humility to seek help from AI

    80% confidence
  • You need to master artificial intelligence if you would be wealthy

    80% confidence
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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.
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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
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.
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