TL;DR
· Morgan Stanley raised its SIMO target price from $155 to $400, with the core thesis being accelerated demand for enterprise SSDs and boot drives driven by AI.
· It expects global NAND to face a 15% shortage in 2026 and still a 9% shortfall in 2027, with AI-related demand reaching 609EB by 2027.
· Suppliers and controller makers benefit more directly, but consumer price increases are limited; YMTC's capacity expansion and a slowdown in AI capex could shift supply-demand dynamics in 2028.

Morgan Stanley significantly raised its target prices for Silicon Motion (SIMO.O) and Longsys in its latest report, attributing the core reason to the NAND demand gap driven by AI servers. For investors, this is not an ordinary SSD price hike expectation, but rather a new cycle driven by AI data centers pushing NAND demand from consumer electronics cycles like smartphones and PCs to enterprise SSDs, AI boot drives, and long-term procurement by cloud providers.

The most aggressive adjustment was for SIMO. Morgan Stanley raised its target price from $155 to $400, corresponding to 23x expected 2027 EPS, and expects the company's 2026 revenue to reach a record high. Longsys' target price was also raised from 300 yuan to 673 yuan, and Phison's target price from NT$2,248 to NT$2,588. However, Morgan Stanley maintained Equal Weight ratings for Longsys and Phison, indicating that not all module makers will benefit equally from this cycle.

The core thesis of the report is that AI's pull on NAND will persist through 2027. In 2025, the aftermath of the previous inventory glut still leaves global NAND supply-demand with about 2% oversupply; by 2026, the market is expected to shift to a 15% shortage; and in 2027, even as supply continues to ramp, there could still be a 9% gap. The key driver is not smartphones and PCs, but demand from AI servers, cloud provider SSDs, enterprise storage, and boot drives.

Global NAND supply-demand still points to a shortage in 2027. 2025-2027e total demand: 1111/1250/1484 EB, supply: 1128/1058/1347 EB, with supply-demand ratio shifting from 2% to -15% and -9%.

AI Shifts NAND Demand Center from Consumer Electronics to Data Centers

NAND used to be more easily swayed by inventory cycles of smartphones, PCs, and consumer SSDs. The change now is that AI servers require not only GPUs and HBM, but also substantial local storage, enterprise SSDs, and boot drives. Once cloud providers' procurement enters long-term agreements, the fluctuation patterns of NAND prices and supply-demand also change.

Morgan Stanley expects AI-related NAND demand to grow 60% YoY in 2027, reaching 609EB, accounting for 41% of total NAND demand. In the same year, total global NAND demand is projected at 1484EB, while supply is 1347EB, corresponding to about 9% shortage. In contrast, assumptions for smartphones and PCs are not aggressive: per-unit NAND capacity remains roughly flat, and end-unit shipments decline according to hardware team models.

This means the shortage conclusion in the report is not based on a comprehensive recovery in consumer electronics, but on continued expansion in AI server and cloud capex. The greater the contribution of AI demand, the more sensitive the NAND cycle becomes to CSP procurement, server configurations, and enterprise SSD supply.

Channel prices have already started to diverge. Channel checks for 3Q26 show TLC enterprise SSD pricing up about 30% QoQ, server DRAM up 20% QoQ, and legacy DRAM like DDR3/DDR4 up 30%-40% QoQ. However, consumer NAND price increases are significantly smaller, because smartphone and PC customers face greater margin pressure and cannot bear similar price hikes.

In other words, price increases are indeed happening, but the strongest hikes are for data center-related products, not all NAND categories.

Why Was SIMO Upgraded the Most?

The core reason for SIMO's target price upgrade is that its business exactly hits two segments of AI storage growth: enterprise SSD controllers and AI boot drive modules.

The MonTitan enterprise SSD business is seen as the company's most important new growth driver in the coming years. Morgan Stanley expects this business to contribute 5%, 13%, and 19% of SIMO's revenue in 2026, 2027, and 2028, respectively. Meanwhile, boot drive modules will also begin to ramp, expected to contribute about 15% and 21% of total revenue in 2026 and 2027, respectively.

For AI servers, boot drives are not the most visible components, but they are indispensable storage configurations for system startup, management, and operation. As AI server shipments increase, demand for related controllers and modules will also rise. SIMO used to be more easily viewed by the market as a consumer controller company; the key to its valuation upgrade now is the rapidly increasing share of enterprise and AI-related revenue.

But this remains a forecast, not realized profits. Morgan Stanley's $400 target price corresponds to 23x expected 2027 EPS, with implicit assumptions that enterprise SSD and boot drive ramp-up goes smoothly, customer adoption progresses, and AI server demand does not slow significantly. Any link below expectations could affect whether the valuation holds.

Module Makers Get Target Price Hikes, but May Not Capture the Biggest Share

Longsys and Phison also benefit from storage price increases and AI server demand, but the report did not upgrade their ratings to more positive levels. The reason is that module makers face a practical constraint in this cycle: when NAND supply is tight, original manufacturers are more likely to prioritize capacity for large cloud providers and core CSP customers, and module makers may not get enough incremental volume.

This is why target prices can be raised, but ratings remain at Equal Weight. Price increases help inventory and ASP, and improvements in enterprise product mix support margins, but if volume is locked by upstream suppliers and large customers, module makers' revenue elasticity will be limited.

Long-term agreements (LTAs) are another important clue. Suppliers can obtain some downside price protection through LTAs; Kioxia's LTA coverage ratio is expected to exceed 50% in 2027. However, such agreements are not unilaterally beneficial; Micron also noted that LTAs often have both price floors and ceilings. They can reduce the risk of price crashes but may also limit suppliers' ability to raise prices during extreme shortages.

Module makers hope to use models like TCM to transfer more inventory pressure to customers, stabilizing long-term gross margins in the 25%-35% range. But this also depends on customer acceptance, supply tightness, and whether the products are sufficiently high-end.

The 2028 Risk Lies in Supply and AI Spending

The biggest boundary for this optimistic forecast lies in 2028.

In Morgan Stanley's base case scenario, even in 2028, if AI NAND demand still grows 60% YoY and YMTC capacity remains around 310kwpm, the market could still face about 5% shortage. However, if YMTC capacity rises to 470kwpm and AI growth slows, the NAND market could shift from shortage to oversupply.

YMTC 2028 capacity expansion vs AI SSD growth scenario test. The matrix shows that under YMTC capacity of 310-470kwpm combined with AI growth of 30%-60%, supply-demand could shift from shortage to near balance or even oversupply.

This is the hardest part of memory cycles: short-term price increases and low inventory easily reinforce optimistic expectations, but once supply discipline loosens in semiconductor storage, oversupply can quickly return. On the consumer side, some order cuts have already appeared; smartphone and PC customers have limited tolerance for price increases, and the price ceiling for consumer NAND may arrive earlier than for enterprise products.

Therefore, the real question this report poses to the market is not "Will SSD prices rise?" but "Can AI demand be strong enough to digest the new supply over the next two years?" For controller companies like SIMO and AI storage chain players, 2026 may be the starting point for enterprise and AI business ramp-up; for the entire NAND cycle, the pace of capacity expansion by YMTC and other players, the intensity of CSP capex, and supplier discipline in 2028 are the key factors determining whether the shortage can persist.

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