• Asks about surging valuations of private software companies (like Databricks) and what it means for public and private market investors.
    speaker1
  • Sitara Sundar
    The key question is whether AI valuations are supported by fundamentals. Public market valuations for hyperscalers have contracted due to doubled earnings growth, while private markets show isolated froth in early stages.
  • Asks if isolated froth in private markets makes public markets more attractive due to greater visibility, noting Databricks trades cheaper than private counterparts.
    speaker1
  • Sitara Sundar
    The focus is on where we are in the value chain. Value has accrued to infrastructure (semiconductors, hyperscalers, utilities), but we are on the precipice of moving to the application layer (software as a service to services as software). Sees meaningful opportunity in private companies but requires selectivity.
  • Cites JPMorgan research showing AI build-out is only 1% of GDP vs. 2-5% for past tech revolutions, asking if this means more room to grow and bubble fears are overblown.
    speaker1
  • Sitara Sundar
    AI does not show signs of a bubble based on four criteria: no excess capacity being built, valuations justified by fundamentals, no excess leverage. The investment cycle has years to go because the economy is still compute and power constrained, with data center vacancy at multi-year lows and demand outstripping supply.
  • Asks why inflation matters to investors when it hasn't stopped the bull market or record highs, suggesting valuations are the current market driver.
    speaker1
  • Sitara Sundar
    The macroeconomic environment has shifted post-2022. Inflation will peak mid-next year but stay above Fed target, leading to 'higher for longer' rates amid moderating growth. Portfolio building blocks must shift to ensure durable returns, emphasizing inflation protection.
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