How to keep profiting from AI while shielding your portfolio against the risk of a slowdown
Jamie Wilhelm and Sunit Gogia of Fort Washington Investment Advisors say they expect the AI-driven growth cycle to persist, while also outlining signals that could herald a slowdown. They discuss ways investors can maintain exposure to AI opportunities while managing portfolio risk if the expansion loses momentum.
Why It Matters
AI-related companies have been a major driver of market performance, so guidance from portfolio managers on balancing continued participation with downside protection is relevant to investors allocating to the theme. Identifying early warning signs of a cycle shift can help investors adjust risk exposure before broader market stress arrives.
Key Facts
- Speakers: Jamie Wilhelm and Sunit Gogia
- Firm: Fort Washington Investment Advisors
- Thesis: They expect the AI wave to continue
- Focus: Describe leading indicators of an eventual downturn and ways to protect portfolios
Portfolio managers Jamie Wilhelm and Sunit Gogia of Fort Washington Investment Advisors expect the momentum behind artificial intelligence to persist, but they caution investors to remain vigilant for signs that the cycle could be weakening. Their approach emphasizes staying invested in AI-driven opportunities while implementing measures to limit downside risk if leading indicators point to a slowdown.
Wilhelm and Gogia highlight the importance of monitoring early signals that have historically preceded market pullbacks. They recommend that investors pay attention to identifiable indicators that would suggest growth is decelerating — a development that would call for a more defensive stance even as the longer-term AI thesis remains intact.
To balance participation and protection, the managers advocate strategies that preserve upside exposure but reduce vulnerability to sharp reversals. That can include selective positioning within the AI theme, prioritizing companies with stronger fundamentals or more durable cash flows, and using portfolio-level risk management tools to cap losses if deterioration materializes.
Their guidance frames the AI opportunity as ongoing but not without cyclical risk, urging investors to combine conviction in the technology’s long-term potential with disciplined monitoring and risk controls. By watching for the specified leading indicators and adjusting exposure as needed, investors can aim to capture gains from AI while limiting the impact if the expansion cools.