AI boom brings fresh risks to US markets, and more money to M&A

The AI boom is driving a rush of investor and corporate capital into tech — with companies paying premiums for AI capabilities and investors bidding up valuations based on future profits rather than fundamentals, Lazard's Matthew Danzig said — even as McKinsey estimates roughly $7 trillion of data‑centre capital will be required by 2030. Nvidia reported record revenue and a 65% year‑over‑year jump in fiscal third‑quarter net income but its shares slipped about 2.2%, highlighting renewed bubble concerns; investors have largely brushed aside rising leverage needed to fund the buildout. Citadel CRO Joanna Welsh warned markets are faster and amplify shocks and flagged converging credit risks — long 30–40 year bond issuance against assets with short depreciation cycles, a boom in zero‑coupon convertible issuance reminiscent of 2001 and 2021, and large private‑credit/illiquid exposures — creating conditions for potentially sharp drawdowns in stressed scenarios.

Analysis

The AI boom is materially reshaping capital allocation: Lazard's Matthew Danzig said AI is the “number one topic of conversation” for investors and executives, with companies paying premiums for capabilities and investors pricing based on future profit potential rather than current fundamentals. McKinsey estimates roughly $7 trillion of capital will be required for data-center buildout by 2030, a scale that underpins aggressive funding and heightened leverage in the sector.

Chipmaker Nvidia reported record revenue and a 65% year‑over‑year surge in net income for its fiscal third quarter, yet shares turned negative—down 2.2% to $182.46 in afternoon trading—pulling other tech names lower and reigniting bubble concerns despite strong fundamentals. The market reaction underscores the disconnect between headline earnings and valuation-sensitive positioning that prices future optionality into current market caps.

Citadel CRO Joanna Welsh warned that modern markets “amplify shocks” and flagged converging credit risks: heavy issuance of 30–40‑year bonds against assets with roughly four‑year depreciation cycles, a surge in zero‑coupon convertibles reminiscent of 2001 and 2021, and large private‑credit/illiquid exposures. With Citadel citing readiness for drawdowns and the article noting investors have largely brushed aside leverage, these structural mismatches raise the probability of sharp, fast drawdowns if funding conditions or revenue trajectories reverse.

Key Decisions for Investors

• Consider trimming exposure to long‑dated corporate credit and zero‑coupon convertible issuance where maturity schedules materially exceed asset depreciation cycles,
• Reassess large, concentrated growth‑tech positions (including staged exposure to NVDA) after the rapid rerating despite strong quarterly results and use option structures to limit downside,
• Increase portfolio liquidity and run scenario stress tests for rapid volatility spikes tied to leverage unwind; consider targeted tail hedges or reduced allocations to illiquid private credit until cash‑flow coverage and funding durability are validated