Three feasible investment ideas in Asia-Pacific: Keyence, Lenovo, and Zhibang Technology are all positive rating (Morgan Stanley)
Morgan Stanley released three actionable investment ideas in the Asia-Pacific region, all with an positive rating rating.
Morgan Stanley released three actionable investment ideas in the Asia-Pacific region, all with an positive rating rating. The three recommendations are: Keyence (6861.T), citing the long-term growth theme from factory automation to physical AI; Lenovo (0992.HK), based on the improvement of profit structure under AI-driven demand; Zhibang Technology (2345.TW), which is expected to have strong shipments of network switches and AI acceleration modules in 2H26. The report shows that since the launch of this series of investment portfolios, the cumulative outperformance has reached 9,234 basis points, with an average 12-month total return of 13.3%. Morgan Stanley believes that these three targets belong to different industry chain links, but they all directly benefit from the expansion of AI infrastructure from cloud to end. As competition in the current market for the implementation of AI applications intensifies, these stocks with fundamental and valuation support provide better risk returns. One-sentence conclusion: The three Asia-Pacific AI-related stocks selected by Morgan Stanley represent the three deterministic growth directions of physical AI, AI PC, and AI network respectively, and have good offensive and defensive characteristics in the AI theme rotation. Positive/negative: Positive for Keyence (6861.T), Lenovo (0992.HK), and Zhibang Technology (2345.TW). This report could bring new incremental funding attention to these stocks. The short-term fluctuations in the AI theme may have been partially priced in, but the medium- and long-term growth logic given by Morgan Stanley is clear. Catalysts: 1) Keyence's 3Q26 financial report, observing the recovery of factory automation orders; 2) Lenovo's changes in AI PC market share and H2 shipment target; 3) Zhibang Technology's monthly revenue data, verifying the shipment pace of AI acceleration modules.