
AI Shifts from Build-Out to Utilization: A New Investment Landscape

AI is transitioning from build-out to utilization, impacting earnings and investment strategies. Robert Teeter of Silvercrest Asset Management highlights this shift, emphasizing practical AI applications over foundational tech. Investors are focusing on companies demonstrating tangible AI integration. Economic deceleration prompts a reevaluation of risk, with bonds offering stability. Teeter anticipates a market rotation into healthcare and small caps, broadening leadership beyond mega-cap tech.
The current phase of artificial intelligence is marked by a pivotal transition from foundational “build-out” to widespread “utilization,” a shift that promises significant implications for earnings and investment strategies. Robert Teeter, Chief Investment Strategist at Silvercrest Asset Management, recently articulated this critical evolution during an interview on CNBC, offering insights into how this paradigm shift, alongside broader economic deceleration, is reshaping market dynamics and investor sentiment. Teeter, speaking with Frank Holland, discussed the changing leadership within AI, the macroeconomic outlook, and strategic portfolio adjustments for the coming year.
Teeter highlighted that the initial “build-out” phase of AI, characterized by investments in chips and foundational infrastructure—the “picks and shovels” of the AI revolution—is giving way to a new era focused on practical application. This transition to the “utilization phase” is particularly exciting, as Teeter believes “it has some good implications for earnings down the road.” This suggests that the value creation will increasingly come from companies effectively integrating AI into their products and services, driving efficiency and innovation across various sectors, rather than solely from the hardware providers powering the initial development.
This evolution is already influencing investor behavior, leading to a more discerning approach within the technology sector. While the broader tech market has experienced significant outflows, reaching multi-year lows, investors are actively “picking the winners.” This selectivity indicates a maturation of the AI investment thesis, moving beyond speculative bets on foundational tech to a focus on companies demonstrating tangible application and revenue generation from AI. Teeter observed that “the chip names are a little bit of an area of focus here in terms of valuation and speed of execution.” This implies that while the underlying technology remains crucial, the market is now demanding concrete results and efficient deployment of AI capabilities to justify elevated valuations.
The shift in investor focus is also partly a response to a broader economic environment that is “growing but slowing,” according to Teeter. While the economy has not yet reached “stall speed”—defined as growth below 1.5%, which typically signals significant problems for earnings—there are clear signs of deceleration. This economic backdrop necessitates a re-evaluation of risk and return across asset classes.
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In this environment, bonds are emerging as an increasingly attractive option. Teeter confirmed that bonds are “pretty compelling here,” noting that Silvercrest Asset Management recently adopted a more neutral posture on equities due to high valuations and the expectation that companies must “deliver to perfection” on earnings. With yields around 4%, bonds offer a compelling alternative for capital seeking stability and income, creating a degree of competition for the equity market.
Looking ahead, the market is poised for a potential “broadening out.” While mega-cap tech has dominated recent gains, Teeter anticipates a rotation into other sectors. He specifically identified “healthcare and small cap look particularly interesting,” citing their recent strength and future growth potential. This broadening of market leadership would be a healthy development for equities, indicating a more robust and diversified economic growth trajectory beyond the concentrated performance of a few dominant tech giants.

