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Google vs. Microsoft (VC Style)

In the course of doing the voodoo that VCs do, I've started to ask a number of questions of new companies in order to get a "man on street" view of this or that battle, this or that standard, and other things that might (or might not) matter to start up companies.

The Post Money Value Whatshisface

Context & Ripple Effects

This 2005 post captures a venture capitalist doing informal diligence by polling founders on which way they read the then-brewing Google–Microsoft platform fight — a reminder that the two companies' rivalry has been a reference point for startup strategy for two decades. That duel never resolved so much as migrated: it now runs through search economics and AI capex, as analyzed in the LLM-in-search cost structure facing both firms.

First-order effects

  • Startups pitching in 2005 had to position against two incumbent gravity wells at once — deciding whether their product was a feature Google would absorb or a wedge Microsoft would counter, straight from the mouths of founders rather than analyst reports.
  • For the VC doing the asking, founder sentiment functioned as cheap primary research: a real-time read on which standard or distribution channel startups actually feared.

Second-order effects

  • When incumbents' platform intentions become common diligence questions, startups increasingly design around acquisition-or-extinction scenarios, shaping product roadmaps toward what Google or Microsoft might buy or clone.
  • The habit of treating big-tech battles as investable weather persists — the same two companies now anchor AI-era capex races, including the tens of billions Amazon, Microsoft, and Google have pledged in India's AI buildout.

Third-order effects

  • If platform duopolies keep defining the viable exits and threats for startups, industry structure drifts toward a barbell: a few system-scale incumbents competing on [[c:system-level-moat|stacked distribution and infrastructure advantages]], with venture capital acting as the sensing layer feeding them both talent and acquisitions.
  • Whether that pattern holds depends on whether new layers (mobile then, AI now) genuinely reset distribution — a question this kind of street-level VC polling was an early instrument for answering.

The trend: This post is an early data point in the long arc of platform incumbency shaping venture strategy, from the 2000s Google–Microsoft standoff to today's AI-driven capital concentration among the same giants.