FRED · Y034RC1Q027SBEA · LNFACBW027SBOG · S&P 500 · Quarterly/Weekly · $bn
AI Bubble Watch Fixed IT Investment vs Bank Loans to Non-Depository Financial Institutions
IT Equipment Investment (FRED Y034RC1Q027SBEA)
MA(24)
S&P 500
Bank loans to non-depository financial institutions
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S&P 500
IT equipment · $bn
Bank loans to non-depository financial institutions (FRED LNFACBW027SBOG)
$bn
This is an independent recreation inspired by a published StockCharts.com chart built from user-uploaded FRED series. It is not affiliated with or endorsed by StockCharts.com, the U.S. Bureau of Economic Analysis, or the Federal Reserve, and it is not investment advice. All figures come from public FRED/Yahoo Finance data and may be revised as the source agencies restate their releases.
What this shows: the two ingredients of the current "AI bubble" debate, side by side. The top panel plots fixed investment in IT equipment — BEA Gross Private Domestic Investment: Nonresidential Equipment (FRED Y034RC1Q027SBEA, $bn, seasonally adjusted annual rate, quarterly). The red line is the raw series; the blue line is its 24-quarter moving average; the gray line is the S&P 500 (monthly closes, Yahoo Finance ^GSPC) on the left axis for context. The summary strip shows RSI(14) — Wilder's RSI computed on quarterly closes — where readings above 70 are historically rare and mark parabolic up-moves (the current reading is in the mid-90s).

Why it matters: the 1998–2000 surge in IT equipment investment (labelled "Y2K") and the 2007–08 run-up (labelled "2008") were both followed by sharp reversals. The 2023–2026 surge is the AI-capex analogue: investment has roughly doubled in three years, blowing past the dot-com peak in dollar terms.

Bottom panel: bank loans to non-depository financial institutions — the Fed H.8 weekly series (FRED LNFACBW027SBOG, $bn, not seasonally adjusted) — lending to hedge funds, private-credit funds and other non-bank financials. It has risen from ~$320bn in 2015 to ~$2.0 trillion today: the credit-side analogue of the AI capex boom.

Reading the chart: zoom in (scroll / shift+drag) to isolate individual episodes; the panels share one time axis. Data may be revised. Sources: chart data (JSON) · source series (CSV)