Artificial intelligence (AI) makes daily headlines, and investors are questioning if businesses’ AI-related investment can continue at this pace. The money spent on data centers, software, and other AI-related investments reveal the structural shifts occurring in the economy. The latest on Commercial & Industrial (C&I) Loans gives us insights into the sustainability of this trend. If an economy wants to encourage innovation, entrepreneurship, and scientific development, businesses need a stable macro environment with price stability, strong property rights, and dynamic capital markets that can fund great ideas.AI Investment Surge Signals Structural Shift In GrowthAI-related business investment is rapidly becoming a cornerstone of U.S. economic growth, marking a structural shift in how expansion is financed and sustained. In the first half of 2025, investment in information-processing equipment and software — largely driven by AI infrastructure — is a small yet mighty slice of the economy, yet contributed a majority to economic growth during that period.This surge is being led by hyperscalers, like Microsoft, Amazon, Meta, and Alphabet, which are collectively projected to spend hundreds of billions on AI-related capital expenditures this year. The boom includes massive data center construction, hardware purchases, and early-stage investments in supporting infrastructure like power grids. While the full economic impact is still unfolding, AI investment has already outpaced traditional growth drivers like consumer spending, suggesting a fundamental restructuring of the economy’s growth model.AI-related capital spending is expected to play an even larger role, and not just in tech, but across sectors adapting to automation, data-driven decision-making, and productivity enhancement. The reordering of international trade this year intensifies the pressure on domestic firms to improve productivity and lower input costs. AI is part of that process.Business spending on intellectual property products, which includes software as well as any research and development spending, boosted economic growth by the largest amount in the history of the data going back to 1947. The “Intellectual Property Added Historic Level to Growth in Q2” chart illustrates the 0.8 percentage point contribution to gross domestic product (GDP), and if we include computer and peripheral equipment, the numbers are more staggering.Together, these AI-related categories contributed 1.5 percentage points to the 3.8% annualized growth in the second quarter. Business investment in intellectual property could continue to have an outsized role in the economy in the years to come.Strong Loan Demand Implies Capital Investments Will ContinueOne question plaguing investors is if the surge in capital expenditures will continue. And for that, we pay attention to what the banks tell us about loan demand, especially for commercial and industrial (C&I) loans often used for capital spending.In Q3 2025, banks reported stronger loan demand from large and middle-market firms. Small firms saw little change in loan demand. A set of special questions within the report highlighted a key driver was firms’ increased investment needs for inventory management due to trade-related tensions.This suggests that businesses may be leveraging loans to build out domestic supply chains and investing in technologies like AI to manage pricing and inventory challenges. Businesses are responding to global supply chain disruptions and tariff uncertainties by tapping credit markets to fund investments in automation and AI, aiming to reduce trade exposure and boost operational efficiency.Composition Of The Economy Is Fundamentally ChangingThe latest growth figures revealed that intellectual property products grew to roughly 7% of the U.S. economy. Over the past three decades, this category grew from under 2% to where it is today. This small but mighty portion of our economy is fueling growth and could become an even greater part of our economy.If an economy wants to encourage innovation, entrepreneurship, and scientific development, businesses need a stable macro environment with price stability, strong property rights, and dynamic capital markets that can fund great ideas.Construction Cash Converging On Data CentersA popular expression in the capital market is “money flows where it’s treated best.” In this context, we could say “capital is flowing toward AI because that’s where expected productivity gains are the strongest.” Businesses are increasingly channeling investment into AI infrastructure, tools, and talent, not just to stay competitive but to redefine productivity itself.This isn’t a passing trend; it’s a structural shift in the economy, where dollars are chasing data, algorithms, and automation. As firms seek higher returns and long-term efficiency, AI-related spending is emerging as a key driver of growth, innovation, and transformation across industries.Capital spending on nonresidential structures, which include a wide range of buildings from offices to hospitals, has declined for the past two years. The bright spot is in data centers.The Census Bureau first broke out data center construction as a distinct line item in its Monthly Construction Spending report in July 2025, released on September 2, 2025. This addition reflects the growing economic significance of data center investment, particularly as AI-related infrastructure spending surges.The new categorization allows for more precise tracking of capital flows into digital infrastructure, which has become a key driver of nonresidential private construction.Call To Action And What Will The Fed Do Next?There is room for more expansion in AI-related capital spending, despite some calling this overextended. A more near-term concern is the lingering impact of the historic lapse in appropriations.Since the government shutdown has lasted long enough to prevent the Bureau of Labor Statistics (BLS) from collecting price data, the agency needs a backup plan. Instead of leaving a gap in the data, the BLS could estimate missing months by using data from surrounding months, a method called interpolation.However, applying it to an entire price index — rather than just a few items — is largely uncharted territory. According to recent reports, the BLS will likely work closely with other agencies to ensure any estimates are statistically sound, but it’s a scenario they’ve rarely had to navigate.Despite the lack of visibility as of now, the weakening job market could bring the Federal Open Market Committee (FOMC) to cut rates in December, giving in to what the markets would like to see and potentially appeasing tech-heavy investors.That said, we remain tactically neutral on the information technology sector, where many of these AI names are concentrated, and overweight U.S. large cap growth equities.Given tech’s concentration in large U.S. indexes (~8.4% of the S&P 500, and ~13.7% of the Russell 1000 Growth Index), current positioning provides exposure to the AI theme while continuing to be wary that a market increasingly reliant on a handful of tech giants could amplify volatility and concentration risk going forward.Asset Allocation InsightsWe maintain our tactical neutral stance on equities. Investors may be well served by bracing for occasional bouts of volatility given how much optimism is reflected in stock valuations, but fundamentals remain broadly supportive.Our regional preferences across the U.S., developed international, and emerging markets (EM) are aligned with benchmarks. We still favor growth over value, large caps over small caps, and the communication services and financials sectors.Within fixed income, we hold a neutral weight in core bonds, with a slight preference for mortgage-backed securities (MBS) over investment-grade corporates. We believe the risk-reward for core bond sectors (U.S. Treasury, agency MBS, investment-grade corporates) is more attractive than plus sectors.We do not believe adding duration (interest rate sensitivity) at current levels is attractive and remains neutral relative to benchmarks.