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The AI trade should be the anchor of a revamped 60/40 portfolio, Apollo's chief economist says

AI should anchor the revamped 60/40 mix, says Apollo’s chief economist—discover how AI‑driven stocks and bonds can boost returns and protect downside.

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#ai portfolio #60/40 strategy #equity ai exposure #ai bonds #modern asset allocation #tech-driven investing #ai market trends #balanced growth
The AI trade should be the anchor of a revamped 60/40 portfolio, Apollo's chief economist says

Table of Contents

60/40 Portfolio Meets AI

The traditional 60/40 allocation — 60 % equities and 40 % fixed‑income — has long been a cornerstone for balanced investors seeking growth with downside protection. In recent years, artificial‑intelligence (AI) technologies have become pervasive across both asset classes, prompting a re‑evaluation of the mix.

Apollo’s View

“The 60/40 portfolio is due for a rethink in the age of AI, as stocks and bonds are increasingly exposed to the technology.”
— Torsten Sløk, Chief Economist, Apollo Global Management

In a Business Insider interview (June 18 2026), Sløk argued that the “AI trade” should serve as the anchor of a modernised 60/40 framework. While he did not provide a precise re‑allocation, his comment signals a shift from a static equity‑bond split toward a model where AI‑related exposures drive the portfolio’s core risk‑return profile.

Analyst Context

  • Equity side: AI has accelerated growth in sectors such as cloud computing, semiconductor manufacturing, and autonomous systems. Companies that embed AI into products or services are seeing higher revenue growth, which can boost equity returns.

  • Fixed‑income side: Corporate issuers focused on AI development are issuing more bonds, and sovereigns are financing AI‑centric research programs. This creates a nascent AI‑themed bond market that could complement traditional government and high‑grade corporate debt.

If investors adopt Sløk’s suggestion, the 60 % equity portion may be tilted toward AI‑heavy stocks, while the 40 % bond allocation could incorporate AI‑linked credit exposures. Such a tilt would likely increase overall portfolio volatility, given the sector’s rapid innovation cycles and valuation sensitivities. Active management and rigorous risk monitoring would therefore become more critical than in a conventional 60/40 structure.

Potential Implications

  • Diversification: AI‑focused assets may correlate less with traditional defensive sectors, offering an additional diversification layer.

  • Liquidity: Some AI‑related securities, particularly newer corporate bonds, may have thinner markets, affecting trade execution.

  • Skill set: Portfolio managers may need deeper technical expertise to assess AI business models and associated credit risk.

Key takeaway: Apollo’s chief economist sees AI as the strategic centerpiece of a refreshed balanced portfolio, urging investors to consider how the technology’s reach across equities and bonds could reshape risk‑adjusted returns.

Source: Business Insider, 18 June 2026.

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