Hennion & Walsh Asset Management President and Chief Investment Officer Kevin Mahn outlined how artificial intelligence is reshaping markets during a segment on Fox Business’ Varney & Co., stressing what investors should watch as earnings and interest rates guide the next stage of the rally. He addressed who stands to gain, what risks may build, when policy could matter most, where spending is concentrated, and why the cycle may differ from past tech booms.
Background: From Hype To Earnings
AI has moved from pilot projects to a central theme in corporate strategy. Large technology firms have led stock gains in recent years as investors priced in AI-driven growth. That strength has raised questions about concentration risk and whether profits can justify higher valuations.
Unlike the dot-com era, today’s leaders often have meaningful cash flow, diversified businesses, and recurring revenue. Still, history shows that high expectations can outrun delivery if revenue and productivity do not scale. Capital spending on data centers, chips, and cloud services has surged, creating new supply chains and testing power and infrastructure capacity.
Signals Mahn Says Matter Now
Mahn focused on practical markers investors can track to separate durable growth from momentum. His framework centered on earnings breadth, capital allocation, policy, and the cost of money.
- Earnings breadth: Whether profit growth expands past a handful of mega-cap firms into software, industrials, healthcare, and financials.
- Capital spending: The pace of AI-related outlays on semiconductors, data centers, and networking—and the return on that spend.
- Productivity gains: Clear evidence that AI reduces costs, speeds development cycles, or lifts revenue per employee.
- Policy and regulation: Rules on privacy, data use, and model accountability that could raise costs or set guardrails.
- Interest rates: Funding costs that influence valuations, buybacks, and longer-dated growth assumptions.
Winners, Losers, And The Supply Chain
Mahn’s analysis stretched past headline tech names to second-order effects. Chip designers, foundries, memory makers, and equipment suppliers can benefit from heavy demand. So can power producers and grid operators as data centers add load. Software firms that turn AI into subscription features may see steadier revenue than those chasing one-off licenses.
He also flagged bottlenecks. Specialized chips remain hard to source when demand spikes. Lead times for advanced manufacturing tools can stretch. Data centers compete for land, permits, and power, slowing buildouts. These friction points can swing quarterly results and favor companies with scale and supply contracts.
Outside tech, traditional sectors may gain. Logistics, industrial automation, and healthcare analytics can apply AI to raise throughput and accuracy. Financial firms may use it for fraud checks and risk models, though oversight is tighter. Small and midcap companies that adopt AI to streamline operations could see margin lift even without headline-grabbing products.
Valuation Risk And The Case For Discipline
Mahn emphasized that price still matters. If rate cuts come slower than hoped, discount rates stay higher and can pressure long-duration growth stocks. If AI spending outpaces near-term returns, investors may rotate to cash-generative firms with clear payback periods.
Diversification across the AI stack—chips, infrastructure, platforms, and end users—can reduce single-name risk. Balance sheets, free cash flow, and pricing power remain key screens. Clear disclosure on AI investments and measurable outcomes helps distinguish sustainable strategies from marketing.
What To Watch In The Next Leg
Several milestones could shape the path ahead. Quarterly results and guidance on AI contribution to revenue and margins. Updates on data center additions and power sourcing. Progress on regulatory frameworks that clarify liability and data rights. And signals from central banks on inflation and rate policy.
Broader participation may be a healthy sign. If earnings growth widens across sectors, markets can handle periods of consolidation. If leadership narrows and profits miss lofty targets, volatility may rise.
Mahn’s message was steady: AI is moving from promise to practice, but execution and cost of capital will decide the winners. Investors watching earnings breadth, returns on AI spending, and policy signals will be better positioned. The next few quarters should show whether productivity gains keep pace with the investment—and whether the rally can extend to more corners of the market.
