Big Tech’s AI Debt Spree Hits a Wall as Bond Investors Demand Higher Yields From Alphabet, Meta and Nvidia

Alphabet Inc. (NASDAQ:GOOG) (NASDAQ:GOOGL), Meta Platforms Inc. (NASDAQ:META), and Nvidia Corp. (NASDAQ:NVDA) face higher borrowing costs as bond markets adjust pricing for debt issuances funding artificial intelligence infrastructure. According to financial analyst Nicholas Mugalli, credit spreads have widened across technology issuers as debt offering sizes scale upward. Spreads Widen Across Major Issuers Mugalli noted that “bond markets are officially penalizing scale” as larger corporate offerings command wider yields and credit spreads. Alphabet saw credit spreads widen by 15 basis points, moving from 56 to 71 basis points as issuance sizes expanded from $1.25 billion to $3.50 billion. Meta and Nvidia exhibited similar pricing trends, where $4 billion bond offerings pushed spreads out by 15 to 19 basis points. Mugalli stated that credit markets no longer treat big tech debt as “risk free paper.” He added that institutional investors demand concessions to absorb the “supply deluge,” creating an “explicit funding tax” on scale. Bond markets are officially penalizing scale. Larger issuance sizes across big tech are commanding meaningfully wider yields and credit spreads across the board. $GOOGL saw spreads widen 15 bps (56 to 71 bps) as issue sizes scaled from $1.25B to $3.50B. $META and $NVDA mirror… https://t.co/SXD15YORbw pic.twitter.com/4LOS001bI0— Nicholas Mugalli (@RealNickMugalli) September 22, 2026 Read Also: S&P 500 Nears Record High But Breadth Flashes Rare 1929, 1999 Signal — Analyst Says ‘We’ve Never in Almost 100 Years Seen Breadth This Bad’ Capital Needs Outstrip Cash Flow The increase in borrowing costs coincides with expanding capital requirements for infrastructure. Data shared by Mugalli indicates that total required funding has reached $5.5 trillion, alongside a $400 billion upward revision in capital expenditure forecasts. Organic cash flow of $1 trillion and incremental equity of $0.4 trillion cover only about a quarter of the total requirement, Mugalli said, while noting that as a result, issuers rely on $2.1 trillion in high-grade bond markets and $1.4 trillion in alternative capital. Hyperscaler debt expanded 92% year-over-year alongside an 81% increase in capital expenditures, compared to a 4% debt increase across the remainder of the high-grade corporate bond market. Total AI capex forecasts just got revised up by $400B, but total funding required has blown out to a massive $5.5T. Organic cash flow ($1.0T) and incremental equity ($0.4T) cover barely a quarter of the bill. Big tech is being forced to turn massive tap lines to high grade… https://t.co/iqPzBLBAOp pic.twitter.com/3bj9LtMTrr— Nicholas Mugalli (@RealNickMugalli) September 20, 2026 Cloud Revenue and Operating Margins Despite added leverage, cloud operating metrics reflect top-line growth. According to another X post by Mugalli, Quarterly cloud and AI revenue growth accelerated to 52% in 2Q26. According to Mugalli, operating margins across AWS, Google Cloud and Microsoft Corp.’s (NASDAQ:MSFT) Intelligent Cloud converged within a 36% to 41% corridor in the second quarter of 2026, while cloud operating profit growth reached 65%. Read Also: Cathie Wood-led Ark Invest Bets Big On Prediction Markets, Snaps Up Kalshi Shares Across 3 Funds, Dumps Brera Holdings Disclaimer: This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors. Photo courtesy: Shutterstock