2026 Equity Outlook: Broadening Markets Beyond AI Concentration

The 2026 Equity Outlook: Beyond the Hype, Towards Sustainable Value

This conversation reveals a critical shift in equity investing: moving beyond the narrow focus on AI enablers and towards a broader, more resilient market driven by dual policy support and a maturing behavioral cycle. The non-obvious implication is that while AI will remain a powerful force, its true value will be unlocked through widespread adoption across industries, not just by a few dominant players. Investors who understand this broadening trend, coupled with the structural support of capped real rates and a more favorable global landscape, can gain a significant advantage by identifying opportunities beyond the current concentration. This analysis is essential for portfolio managers, investment strategists, and individual investors seeking to navigate the complexities of 2026 and build portfolios that are not only optimistic but also durable.

The Late Cycle, Not End of Cycle, Dynamic

Andrew Slimmon frames the current market environment not as the end of a bull run, but as a "late cycle, but not end of cycle" phase. This distinction is crucial. He argues that the typical behavioral pattern of a bull market involves an initial period of pessimism, followed by growing optimism, and ultimately, a phase of volatility and compressed returns as euphoria sets in. The market has moved through the early stages of recovery from the 2022 bear market, and investors are now exhibiting increased optimism. However, Slimmon cautions against mistaking this optimism for peak euphoria, suggesting there's still room for growth, albeit with increased volatility. This perspective challenges the notion that the market is about to turn decisively downward, instead pointing to a more nuanced phase where careful selection becomes paramount.

"Ultimately, bull markets die on euphoria. So I think it's late cycle, but it's not end of cycle. That's my theme; is late cycle but not end of cycle."

-- Andrew Slimmon

The dual support of simultaneous monetary and fiscal policy is presented as an unusual, yet powerful, tailwind. This combination, rarely seen outside of recessions, creates a fertile ground for equities. Slimmon points to the historical success of equities during periods of monetary easing, a condition currently in play. The addition of fiscal policy, specifically mentioning tax relief, further bolsters the case for optimism. This dual policy support is not merely a short-term boost; it’s a structural element that is expected to continue influencing market behavior. The implication for investors is clear: stick with pro-cyclical sectors like Finance, Industrials, and Technology, and consider moving down the market capitalization curve. These areas have already shown strength and are poised to continue benefiting from the prevailing policy environment.

The Age of Capped Real Rates and the Great Broadening

Jitania Kandhari introduces the concept of the "age of capped real rates," defining real rates as the 10-year Treasury yield adjusted for CPI. This view challenges the simple linear thinking that tariffs directly equate to sustained inflation and higher rates. Kandhari argues that tariff impacts can be offset, and economic relationships are not always straightforward. The primary constraint, she posits, is debt arithmetic. Historically, periods of surging public debt in the US, from the Civil War to COVID-19, have seen real rates remain negative. This suggests that while short-term rate fluctuations are possible, a structural cap on real rates is likely to be enforced by market dynamics, not solely by central bank actions.

This backdrop sets the stage for what Kandhari describes as the "great broadening" of 2026. The previous decade was characterized by concentration, particularly in the "Mega Seven" and the AI trade. However, cracks are appearing in this consensus, with adoption of AI happening but monetization lagging. The next phase of value creation, she suggests, will shift from enablers to adopters, moving from model building to the application layer. Furthermore, the evolution of two distinct AI ecosystems--the high-cost US innovation engine and the lower-cost Chinese model--will create diverse supply chain beneficiaries. Limitations on global tariff policies and the US need for intermediate goods also contribute to this broadening. Coupled with upward-inflecting domestic cycles in various global pockets, the message is that market leadership is expanding, and portfolios should reflect this breadth.

"The next phase of value creation could happen from just the model building to the application layer, as you guys have also talked about -- from enablers to adopters."

-- Jitania Kandhari

Andrew Slimmon echoes this sentiment, drawing a parallel to the internet revolution. He recalls how early attempts to pick the definitive internet winners (Ask Jeeves, Yahoo, Netscape) ultimately failed, as the technology's true value was realized through widespread adoption across industries. Similarly, AI is a productivity-enhancing tool that companies will embrace. The doubling of the stock market between 1997 and the dot-com peak was fueled by productivity gains across numerous industries adopting the internet. Therefore, a broadening market that looks at lower valuations is a safer bet than trying to pinpoint specific technology winners. This implies that the benefits of AI will be diffuse, impacting a wide array of industries rather than a select few.

Marrying Macro with Micro for Durable Returns

The podcast also addresses the perennial debate between top-down macro analysis and bottom-up fundamental stock picking. Slimmon advocates for a blended approach, asserting that statistically, two-thirds of a manager's relative performance stems from macro factors (e.g., growth vs. value performance), while one-third comes from individual stock selection. Ignoring the macro environment, such as the implications of Fed rate cuts on different stock types, is a significant mistake. Conversely, neglecting company-specific fundamentals means missing out on a crucial component of returns. This integrated approach allows investors to capture both the broad market trends and the specific opportunities within individual companies.

The discussion then turns to the shift in global exposure. Slimmon notes that while the US performed well, other parts of the world, particularly Europe and Japan, have begun to show signs of strength, with pro-cyclical and value stocks starting to work. This change in global signals has prompted an increase in non-US exposure in their global strategies, moving away from a solely US-centric view. This broadening of opportunity is not about the end of US exceptionalism but rather about recognizing emerging cyclical biases and relative leadership in other regions.

Jitania Kandhari further elaborates on global opportunities, highlighting that ex-US markets are more weighted towards industrials and financials, mirroring the cyclical stage of different countries. Europe, various pockets of emerging Europe, and emerging markets in general are presented as attractive. She points to restored fiscal and monetary credibility in emerging markets, the structural story of "new China" with its manufacturing and technology pivot, North Asian markets in supply chains, India as a structural market, and Latin America for its fiscal and monetary management. This global perspective underscores the idea that opportunities are now scattered worldwide, aligning with the broadening market theme.

Key Action Items

• Embrace the "Late Cycle, Not End of Cycle" Mindset: Adjust portfolio strategy to account for increased volatility and compressed returns, focusing on quality and resilience rather than chasing speculative growth. (Immediate)
• Leverage Dual Policy Support: Continue to favor pro-cyclical sectors (Finance, Industrials, Technology) and consider opportunities down the market cap curve, as monetary and fiscal easing provides a supportive backdrop. (Immediate)
• Look Beyond AI Enablers to Adopters: Shift focus from companies purely building AI models to those integrating AI into their applications and operations, unlocking true monetization. (Over the next 6-12 months)
• Prepare for Market Broadening: Diversify portfolios beyond concentrated mega-cap tech names to include a wider range of industries and geographies that will benefit from AI adoption and global economic cycles. (Immediate)
• Integrate Top-Down and Bottom-Up Analysis: Combine macro insights (like Fed policy and global trends) with rigorous bottom-up fundamental analysis to capture the majority of potential returns. (Ongoing)
• Increase Non-US Exposure: Actively seek opportunities in regions like Europe and emerging markets where cyclical biases are shifting favorably, recognizing that global leadership is broadening. (Over the next 6-12 months)
• Understand Capped Real Rates: Recognize the structural constraint on real rates due to debt arithmetic, which supports a more optimistic view on equities despite potential short-term rate swings. (This pays off in 12-18 months by providing a stable valuation anchor)