J.P. Morgan China Summit: Positioning "Big Consumption" as a Source of Funds for Allocation to "AI and Robotics"

```

J.P. Morgan released a strategy report after its Global China Summit, clearly recommending the consumer sector as a source of funds for increasing positions in AI and robotics themes, and maintaining a structurally bullish stance towards industrial automation.

Client exchanges and expert panel discussions during the summit reinforced J.P. Morgan's core view: China’s AI capital expenditure still has significant upside potential. However, currently global and regional investors are mainly deploying AI through US, South Korean, and Japanese stocks, with China’s AI technology sector yet to fully benefit from capital inflows. Meanwhile, the second-order spillover effects generated by AI capital expenditure are accelerating across industrial ecosystems, providing structural support for factory automation and robotics tracks.

In the consumer sector, significant improvement in domestic macro consumer data and further outperformance of per-share earnings in consumer and internet sectors are necessary preconditions for expanding allocation to these sectors. As these criteria are not yet met, the consumer sector currently plays more of a funding source role rather than being an active target for increased positions.

China’s AI Capital Expenditure: Persistent Gap, But Turning Point Approaching

China’s annual AI capital expenditure remains far below that of the US, at around 20% of the latter. This gap stems from both supply and demand sides: On the supply side, access to advanced chips (such as Nvidia GB200/B300) is restricted, and domestic alternatives still lag in computing throughput, energy efficiency, and high-speed storage capability, raising total cost of ownership for data centers. On the demand side, most Chinese large language models (LLMs) are still 8–12 months behind the most advanced US systems, and the domestic ecosystem has not yet reached a self-reinforcing commercial turning point.

Nevertheless, positive signals are accumulating. DeepSeek V4-Pro is currently at the Pareto frontier in Code Arena, with its API price being about one-fifth that of the combined price of GLM-5.1/Kimi K2.6, demonstrating the sustained improvement in cost-effectiveness of domestic LLMs. Once the commercialization turning point is surpassed, the valuations of China’s large-scale cloud service providers will be increasingly AI-driven. AI infrastructure supply chain targets and pure LLM companies will continue to outperform with liquidity support.

Regarding concerns about overcrowding in the AI sector, investors worry about valuation pressure from rising US Treasury yields, but the report expects the US Federal Reserve’s first rate hike will be delayed until Q3 2027.

AI Spillover Effect Spreads, Industrial Automation Tailwind Strengthens

In company exchanges at the summit, the spillover effects from global AI capital expenditure are increasingly benefiting fields beyond the “first-tier” beneficiaries of 3C and semiconductors, propelling higher-level upward movement in adjacent industrial ecosystems—especially thermal management supply chains, higher precision machine tools, injection molding, power infrastructure, automotive equipment and production line upgrades, as well as select chemicals and metals.

This trend is corroborated by A-share capital expenditure data. In Q1 2026, A-share (excluding finance and real estate) capital expenditure increased 4% year-on-year; inventory grew 8%. If utilities and energy are further excluded, capital expenditure growth rate rises to 7% year-on-year.

Among these, capital expenditure in the IT sector increased 26% year-on-year, and the industrial sector grew by 21%, indicating early signs of resonance between capital expenditure and inventory upward cycles. Improvements in higher-level effects, delivery conversion, and price transmission prospects may translate into upward revisions for sales and earnings forecasts in the coming quarters.

Consumer Sector: Structural Differentiation, Selectivity Preferred Over Broad Allocation

The summit expert panel noted that China’s consumer sector will provide differentiated structural returns rather than a comprehensive cyclical rebound, with obvious differences in recovery paths among various sub-sectors and product categories. Speakers suggested investors abandon overall market judgments and focus on underlying long-term trends, seizing high-quality growth assets in niche markets.

From a source of incremental growth, lower-tier cities and township areas are seen as main engines for incremental consumption growth, with cost-effective factory-direct consumer goods effectively capturing unmet market demand. The changing consumption habits of young consumers have led to sustained demand for health-oriented products, from sugar-free beverages to high-end Chinese-style tea drinks.

Significant improvement in domestic macro consumer data and further outperformance of per-share earnings in consumer and internet sectors are necessary preconditions for expanding allocation to these sectors. Before that, the consumer sector is more a source of funds for AI and robotics theme allocation, rather than an object for active increase.

Risk Warning and DisclaimerThe market involves risks, investment requires caution. This article does not constitute personal investment advice and does not take into account individual users’ specific investment goals, financial situation, or needs. Users should consider whether any opinion, viewpoint, or conclusion in this article suits their particular circumstances. Investment based on this, at your own risk. ```