Speaker: Ariana Salvatore, Morgan Stanley's US Public Policy Strategist [00:00:00]
Date & Time: Wednesday, June 17, 2026, at 10:00 a.m. in New York [00:00:12]
Context: A follow-up to a previous discussion by colleague Sha Kim regarding "chipflation" and the surging cost of memory chips driven by AI infrastructure demand [00:00:19]
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Memory chips have become an increasingly strategic global resource because AI infrastructure depends heavily on them [00:00:29]. When a resource becomes this strategic, governments naturally get involved; however, policy tools can only help at the margin and cannot solve the core supply bottleneck quickly [00:00:36].
Available government mechanisms—such as direct subsidies, tax credits, procurement guarantees, and faster permitting—support new fabrication plants, testing capacity, and packaging facilities [00:00:49].
However, memory supply cannot materialize overnight. This new capacity must be built, equipped, qualified, and ramped up—a process that takes years [00:01:00].
While China may add some supply in conventional memory markets, it is not enough to close the broader supply-demand gap accelerated by AI [00:01:13].
High-Bandwidth Memory (HBM)—the strategic type crucial for frontier AI systems—remains highly concentrated, technically complex, and difficult to scale [00:01:19].
The base-case scenario projects that US policy will remain more restrictive rather than accommodative [00:01:33].
A broad loosening of export controls is not expected due to the strategic importance of the technology [00:01:38]. Policymakers are highly likely to continue prioritizing long-term supply chain resilience, trusted capacity, and geopolitical de-risking over near-term price relief [00:01:43].
Strategic Segmentation of Memory Markets
To evaluate the policy landscape, the memory market must be bifurcated into two distinct categories [00:01:53]:
AI Strategic Memory (High-Bandwidth Memory & Advanced DRAM):
Role: Enables the most advanced, frontier AI systems [00:02:00].
Policy Focus: Focused heavily on protecting core strategic capabilities, limiting geopolitical vulnerabilities, and expanding trusted supply lines across the US and its allied nations [00:02:09].
Commodity / Legacy Memory:
Role: Applied across non-frontier sectors including automotive, industrial systems, consumer electronics, and other standard applications [00:02:21].
Policy Focus: Policymakers could explore more flexible alternatives here, such as differentiated licensing and support for critical sectors [00:02:33]. However, practical boundaries like permitting, workforce tools, qualification cycles, and production lead times restrict rapid relief [00:02:39].
The Role and Constraints of Chinese Producers
Relief Valve Potential: Chinese semiconductor manufacturers are scaling up capacity in conventional DRAM and NAND [00:02:48]. In some consumer-grade applications, this supply could act as a relief valve for buyers who have been crowded out by massive AI-related demand [00:02:54].
Hard Technology & Policy Ceilings:
Chinese firms continue to face clear yield rates and technology gaps, meaning China alone will not solve the high-bandwidth memory bottleneck [00:03:03].
The regulatory backdrop reinforces this boundary: certain Chinese memory producers remain under direct US restrictions or heightened scrutiny [00:03:14].
A definitive operational ceiling remains their restricted access to the most advanced lithography tools, making scaling leading-edge memory much more difficult [00:03:23].
Conclusion / Bottom Line
Policy can mitigate chipflation, but it is highly unlikely to end it in the near term [00:03:32]. For AI strategic memory, policymakers will defend access, deepen allied coordination, and encourage trusted capacity over loosening restrictions [00:03:37]. For commodity memory, targeted flexibility remains possible, but geopolitics and long manufacturing time horizons remain the dictating factors [00:03:46].
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