The Kiplinger Letter Says Almost None of the GDP Growth Washington Is Celebrating Actually Came From AI and for Investors the Implications Are Uncomfortable

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By Michael Williams Published
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The Kiplinger Letter Says Almost None of the GDP Growth Washington Is Celebrating Actually Came From AI and for Investors the Implications Are Uncomfortable

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The Kiplinger Letter’s argument is uncomfortable for anyone overweight artificial intelligence: almost none of the GDP growth Washington has been celebrating actually came from AI. The mechanics are counterintuitive. When hyperscalers buy NVIDIA chips manufactured by TSMC in Taiwan and servers assembled overseas, that spending lands in the import column, which subtracts from GDP. The capex is real. Its domestic output contribution is thinner than the headlines imply.

The Capex-to-Revenue Gap Inside Recent Earnings

NVIDIA (NASDAQ:NVDA | NVDA Price Prediction) posted Q4 FY2026 data center revenue of $62.31B, up 75% year over year, and full-year revenue of $215.94B (+65.47%). Microsoft (NASDAQ:MSFT) reported an AI annual run rate of $37 billion, up 123% YoY, against a single-quarter CapEx of $30.88B (+84.39% YoY). Alphabet (NASDAQ:GOOGL) more than doubled CapEx to $35.67B in Q1 alone, while free cash flow fell 46.63% YoY. Cash going out is outrunning AI revenue coming back in.

Valuations have already priced the payoff. NVDA trades at 46x trailing earnings, GOOGL at 30x, MSFT at 25x. The Invesco QQQ Trust (NASDAQ:QQQ) is up 35.31% over one year and 119.20% over five. On a $500,000 QQQ position, roughly $200,000 sits in a handful of AI mega-caps.

The Historical Rhyme Kiplinger Does Not Spell Out

The 1999 to 2000 fiber optic buildout produced bandwidth nearly a decade ahead of demand and punished equity holders for years before survivors compounded. The 2012 to 2015 cloud capex cycle preceded measurable enterprise productivity gains by roughly four years. Spending arrives first. Returns arrive later than the multiple assumes.

How to Reposition Without Bailing

This reframes concentration risk rather than triggering a wholesale exit. Options worth considering:

  • Equal-weight the index. An equal-weight Nasdaq-100 ETF caps single-name AI risk versus QQQ’s mega-cap tilt.
  • Utilities that power data centers. NextEra Energy trades at a 24x P/E with a 2.43% yield and 0.72 beta, guiding to 8%+ EPS CAGR through 2032 with 30+ data center hubs in development.
  • Industrial REITs hosting the build. Prologis commenced 66.7M sq ft of leases in Q1 2026, with a 5.6GW data center pipeline and cash same-store NOI growth of 8.8%.

The thesis breaks if AI-attributed revenue catches up to capex within two to three quarters. It is simply early if hyperscaler CapEx growth outpaces AI revenue growth into 2027. The Kiplinger finding changes what a portfolio should pay for direct exposure today.

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About the Author Michael Williams →

I am a long time investor and student of business, and believe finding good companies that can become great investments is the best game on earth. After 20 years of writing and researching the public markets it is clear that individuals have never had more tools and information to take control of their financial lives. From ETFs and $0 commissions to cryptos and prediction markets there has never been a greater democratization of access to investing. 

I write to help people understand the investments available to them so they can make the best choice for their portfolio, whether they're starting out or looking for income in retirement. 

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