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    <title>AI Supercycle on k4i.com</title>
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      <title>The AI Supercycle: Why Investors Still Thinking In 2000 Terms Are Reading The Wrong Chart</title>
      <link>https://k4i.com/the-ai-supercycle-why-investors-still-thinking-in-2000-terms-are-reading-the-wrong-chart/</link>
      <pubDate>Thu, 02 Jul 2026 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;Every AI capex chart published this year gets laid over the same overlay: 1999-2000. Capex-to-sales ratios, VC concentration, IPO froth, Fed warnings — the comparison is everywhere, and it is not baseless. But it is incomplete in a way that matters, because it measures this cycle using the only historical yardstick available and assumes the yardstick still applies.&lt;/p&gt;&#xA;&lt;h2 id=&#34;the-comparison-investors-keep-reaching-for&#34;&gt;The Comparison Investors Keep Reaching For&lt;/h2&gt;&#xA;&lt;p&gt;The parallels are real and worth taking seriously. Big Tech&amp;rsquo;s combined AI capex is expected to reach $650-700 billion in 2026, and one Wells Fargo analysis noted this drove 42% of Q1 GDP growth while representing 2.4% of total US GDP — a figure some analysts expect to surpass dot-com-era peaks by Q4 2026. MIT research found that 95% of organizations report zero measurable return on their GenAI investments so far, and the ratio of infrastructure spending to actual AI software revenue runs close to twenty-to-one. Morgan Stanley has pointed out that capex-to-sales ratios are on track to exceed the 32% peak hit at the top of the dot-com bubble.&lt;/p&gt;</description>
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