The prevailing narrative surrounding artificial intelligence investment often centers on the dominant technology behemoths. However, Scott Wren, Senior Global Market Strategist at Wells Fargo Investment Institute, posits a nuanced, diversified approach, suggesting that the most compelling opportunities lie not solely within the traditional tech sector, but in the ripple effects AI will generate across the broader economy. His commentary reveals a strategic pivot, advising investors to look beyond the "fully valued" AI frontrunners and identify the foundational industries poised to benefit from this transformative wave.
Wren spoke with CNBC's 'Money Movers' about navigating the evolving AI trade, offering insights into Wells Fargo's broader market outlook and sector preferences. His core message emphasized a conscious move away from an overweight position in certain highly-concentrated tech and communication services sectors, advocating instead for a more distributed investment strategy that still capitalizes on the AI theme.
Wells Fargo's strategy reflects a belief that many of the current AI darlings, particularly the large-cap technology stocks, have reached peak valuations. Wren noted, "A lot of these AI stocks are pretty fully valued, especially the big ones." This sentiment led Wells Fargo to dial back their allocations in both communication services and the Infotech sector, moving them from an "overweight" to an "even weight" recommendation. The rationale is simple: while AI is undeniably a powerful force, its immediate, direct beneficiaries in the tech sphere may already be priced for perfection.
Instead of chasing these elevated valuations, Wells Fargo is exploring "other angles on the AI trade." Wren highlighted Industrials, Utilities, and Financials as key sectors primed to indirectly benefit from the AI revolution. The logic here is compelling for founders and VCs looking at the broader economic impact of AI. The infrastructure required to support AI – massive data centers, robust power grids, and intricate supply chains – necessitates significant capital expenditure and operational upgrades across these traditionally less glamorous sectors.
Consider the Utilities sector. The sheer energy demands of AI data centers are staggering, requiring substantial investments in power generation and distribution. Wren explicitly stated, "Clearly somebody has to build data centers and upgrade the electrical grid and then of course utilities, I mean the surge in demand, rates are going to be higher, they're going to make some money there." This translates into a predictable revenue stream and capital investment cycle for utility companies, far removed from the volatile valuations of pure-play AI software or chipmakers. Similarly, the Industrials sector benefits from the construction and outfitting of these new data centers and the manufacturing of advanced robotics and automation tools that AI drives. These are tangible, physical assets that form the bedrock of AI’s expansion.
Beyond sector-specific plays, Wren foresees a broader market participation, moving away from the concentrated gains seen in recent years. He articulated an expectation for the S&P 500 to reach 7500 by the end of next year, a target he believes requires a more expansive market rally. "We’re expecting broadening where, as far as an earnings contribution, as far as a price contribution to what the S&P 500 does, we expect a little bit less out of let's say the Mag 7 type stocks and a little bit more out of, you know, the other 493 stocks in the index." This broadening suggests a healthier, more sustainable market environment where AI's benefits are diffused rather than concentrated.
This perspective challenges the conventional wisdom that AI investment is synonymous with hyperscale cloud providers or semiconductor manufacturers. While those companies are undoubtedly critical, the sustained build-out of AI infrastructure and its integration into various industries will drive capital expenditures and demand across a much wider array of businesses. These investments are not merely speculative; they are fundamental requirements for AI to function and scale.
The strategist emphasized that while the leading tech companies have consistently "knocked the cover off the ball" with earnings and AI CapEx spending, which has been "twice what the consensus expected," the market still needs a broader base for continued ascent. Consumer spending has also proven remarkably resilient, providing an underlying current of economic stability. This combination of robust consumer activity and sustained, increasing AI-related capital expenditures from corporations creates a strong, albeit shifting, foundation for the market.
Wells Fargo’s approach isn't about abandoning AI, but rather about a judicious reallocation of capital to capture its indirect, yet equally profound, economic impacts. It’s a strategy for founders and investors to consider as the AI revolution matures, suggesting that the next wave of value creation might not be where everyone is currently looking.
