JoAnne Feeney
Partner and portfolio manager at Advisors Capital Management, overseeing growth and balanced strategies. A former senior equity analyst focused on nanotechnology and semiconductor-company valuation, she is a frequent media commentator on AI infrastructure, chip equities, and technology investing.
Cheaper Inference Could Expand Demand for AI Chips and Data Centers
Advisors Capital Management’s JoAnne Feeney argues that cheaper AI inference should expand usage and sustain demand for data centers and chip suppliers such as Nvidia and Broadcom, even as intensifying model competition erodes providers’ ability to defend margins. She sees the recent AI-stock volatility as a reassessment of where durable advantages lie, not evidence that infrastructure demand has broken. Feeney is more cautious on memory stocks including Micron, arguing that today’s strong pricing will eventually draw new capacity and revive the sector’s familiar cycle.
AI Demand Is Stress-Testing the Global Semiconductor Supply Chain
Bloomberg’s primer argues that the AI boom is turning the semiconductor supply chain into a strategic stress test, raising demand for advanced processors while exposing how dependent the industry remains on a handful of companies, machines and manufacturing clusters. The source traces that pressure through ASML’s lithography tools, AMD’s AI chip designs, TSMC’s concentration of advanced fabrication in Taiwan, and competing US and Chinese efforts to rebuild domestic capacity. Its central claim is that chips are becoming more economically and politically essential just as their production remains physically fragile, capital-intensive and difficult to replicate.