After a downturn lasting over three years, the analog semiconductor sector is regaining investor attention. Morgan Stanley's latest research suggests that the fundamentals of analog chips are recovering from an "L-shaped bottom": channel inventories are leaner, pricing pressure is easing, and selective tightness is emerging in the supply of mature-node and power-related products. More importantly, the construction of AI data centers is shifting the narrative for analog chips from the traditional stories tied to automotive and industrial cycles towards a new theme of "increasing power and interconnect content value." This represents the most significant difference between the current market dynamic and past analog chip cycles. Historically, analog semiconductors relied more on the recovery of end-demand from industrial, automotive, and consumer electronics sectors. This round of recovery, however, is layered with the expansion of AI infrastructure. Morgan Stanley's report points out that AI computing and data centers are creating new opportunities in areas such as rack power supplies, digital power, memory interfaces, and optical interconnects. Related beneficiaries include 800V power architecture, power conversion, MCUs, silicon photonics, optical interconnects, and low-earth orbit satellite communications.

Recovery Signals: Simultaneous Improvement in Inventory, Pricing, and Demand From an industry cycle perspective, analog semiconductors had been under prolonged pressure, primarily due to inventory destocking, declining prices, and weak end-demand. However, Morgan Stanley believes an inflection point has been reached in the current inventory environment. Its distributor surveys indicate that both customer and distributor inventories are leaner, with lead times for some products extending by 4 to 8 weeks. The proportion of respondents planning to further reduce inventory has declined significantly, while the willingness to replenish inventory has increased for analog, MCU, and connector product lines. Marginal improvements are also appearing on the pricing front. Morgan Stanley's report notes that the proportion of distributors reporting analog chip pricing as stronger than usual has risen from 33% to 65%, while the figure for MCUs has increased from 33% to 58%. Furthermore, Analog Devices implemented a list price increase in February 2026, and Renesas Electronics Corp has indicated potential price adjustments if raw material and logistics costs continue to rise. The upward trend in mature-node foundry prices further enhances the ability of analog/MCU manufacturers to pass costs downstream.

AI Data Centers Bring Analog Chips "From Backstage to Center Stage" When discussing AI hardware, market focus has typically centered on GPUs, HBM, and advanced packaging. However, as AI data centers scale, the importance of power management, signal chain, interface chips, and optical interconnects is rising. Analysis of Texas Instruments also suggests that AI data centers are elevating analog demand, particularly for power and signal chain components, "to a new level." Compared to GPUs/HBM, the recovery pace for analog devices in data centers is likely to be "broader, more stable, and longer-lasting." Morgan Stanley is particularly focused on opportunities arising from the evolution of AI rack power architecture towards 800V. The report states that over the next 12 to 24 months, changes in AI rack power architecture will become one of the most significant structural variables in the analog chip space. Taking Nvidia's relevant rack architecture as an example, the power side cabinet integrates functions like traditional power supply units, rack-level battery backup units, and large-capacity capacitors, driving increased demand for power semiconductors such as SiC, GaN, and solid-state transformers. The report predicts that the power semiconductor content value in each Rubin Ultra rack could exceed $20,000.

Company Clues: Texas Instruments, Renesas, NXP Provide Cross-Verification This recovery is not merely a macro narrative; it is also being validated at the company level. Morgan Stanley's report views Texas Instruments, as the analog leader with the broadest coverage, as providing clearer signals regarding demand, pricing, and the health of the industrial and data center sectors. Reports also mention Morgan Stanley raising its price target for Texas Instruments from $180 to $221, reflecting institutional recognition of improving data center and industrial demand. Renesas Electronics Corp exemplifies the growth opportunities in digital power and memory interfaces. The report states the company is experiencing strong near-term demand, plans to increase channel inventory, and is investing 94 billion yen in capital expenditure to expand digital power capacity for data center applications. NXP Semiconductors NV reinforces the recovery thesis for automotive and MCUs, with its Q2 revenue guidance indicating 8.5% sequential growth and 18% year-over-year growth, and its first-time disclosure of revenue exposure related to data centers. STMicroelectronics benefits from optics, low-earth orbit satellite communications, and gross margin recovery. Related reports also show Morgan Stanley recently raising price targets for several semiconductor companies, with the rationale shifting from a pure "AI-concept driven" narrative to "profit recovery driven by both AI and traditional cyclical demand." Companies like Microchip Technology and GLOBALFOUNDRIES Inc. are also seen as beneficiaries of stable demand, improving capacity utilization, and silicon photonics opportunities.

Risks Remain: Don't Misinterpret Early-Cycle Signals as a Full Reversal However, Morgan Stanley does not define this recovery as a risk-free rally. The report cautions that the primary bearish argument is that the analog semiconductor sector might only be experiencing a normal inventory replenishment following a deep correction, rather than a sustained recovery in end-demand. If industrial orders weaken, automotive production declines, or intensified local competition in China leads to pricing deterioration after distributors complete restocking, valuation re-rating could stall. Furthermore, AI data centers themselves carry financing and execution risks. Morgan Stanley's views have been cited noting that AI capital expenditure is rapidly expanding, with new spending by some large tech companies increasingly reliant on debt financing. If credit markets tighten, the pace of AI infrastructure build-out could slow. Morgan Stanley also posits that Agentic AI will drive chip spending to diffuse from GPUs to a broader range of hardware like CPUs and memory, which aligns with the beneficiary logic for analog chips but also means related demand remains contingent on whether AI applications can sustain their volume growth.

Overall, the analog semiconductor sector is at an intersection of "cyclical bottom recovery + increasing AI content value." This market cycle may not require a V-shaped rebound in industrial and automotive demand. As long as inventory normalizes, prices cease deteriorating, capacity utilization improves, and the revenue visibility for AI power and optical interconnect solutions increases, there is room for upward revisions to the profit midpoints and valuation multiples of certain leading companies. What truly needs tracking is whether inventory restocking translates into end-market sell-through and whether the anticipated tightness in AI data center power, interconnect, and mature-node supply and demand can be sustained.