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Source document· January 31, 2026

‘Mr. Buffett, how can I make $30 billion?’: Warren Buffett’s answer reveals his 3 simple investing rules

View original at finance.yahoo.com
‘Mr. Buffett, how can I make $30 billion?’: Warren Buffett’s answer reveals his 3 simple investing rules J. Kempin / Getty Moneywise and Yahoo Finance LLC may earn commission or revenue through links in the content below…
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  • 49% of Americans say they don't invest because they don't have enough money, believing they need about $1,000 to get started

    80% confidence
  • If starting investing again today with $10,000, he would focus on smaller companies because there's more chance something is overlooked in that arena

    80% confidence
  • Small-cap stocks were around 30% cheaper than large-cap stocks as of the start of Q4 2023

    80% confidence
  • He almost passed on acquiring See's Candies over a $5 million price difference, which would have cost Berkshire $1.35 billion in gains

    80% confidence
  • The valuation gap between small-cap and large-cap stocks is near a 25-year low, suggesting potential for small-cap outperformance

    80% confidence
  • Their stock recommendations have beaten the S&P 500 by almost 12% on average across 400 stock picks over four years

    80% confidence
  • The best advice for investors is to get started as early as possible, using compound interest like a snowball rolling down a hill

    80% confidence
  • Success comes from being smart in specific areas and staying within those areas of competency

    80% confidence
What we know · the intelligence behind this page
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What we're seeing
Enterprise Software Races to Govern and Consolidate Around Agentic AI
Enterprise software vendors are repositioning around autonomous AI agents. Salesforce is acquiring Braze, ServiceNow is launching agent governance tools (AI Passport, Super Intelligence Control Tower), SAP is pushing its 'Autonomous Enterprise', and Zeta is launching AthenaOS and its own inference model. Palantir is embedding itself in banking, aviation and sovereign AI infrastructure through partnerships with Customers Bank, Surf Air, Ondas and Armada. Governance, data sovereignty and enforced policy are emerging as preconditions for regulated sectors like finance. Investors such as Norwest see room to disrupt ERP and finance software, and they caution that AI should not be trusted with financial calculations. Consolidation and shareholder disputes (Salesforce/Braze, Tiny/Oso Cloud, ZenaTech/Boardwalktech) show the market reshaping.
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Signals we're tracking
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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