Research Notes 2026-10-25 中文 PDF

NIGHTLY INTELLIGENCE BRIEF

〔Day Digest〕AI Capex Faces Its Payoff Test: 493 S&P 500 Companies Show Flat Revenue per Employee as the 10-Year Yield Drops 17 bp - A-Shares Face a 3,700-Point Bottom Debate

Apollo Global Management Chief Economist Torsten Slok says AI has yet to deliver a practical return outside technology: revenue per employee is rising at the seven major technology companies but flat at the other 493 S&P 500 companies, with no evidence yet of a productivity lift. Yet Nomura Securities expects the memory-chip shortage to last through 2028 and says valuations are severely underestimated, while CITIC Securities argues an AI pullback is not the boundary between bull and bear markets. The macro tape added a separate rate-and-risk cross-current: Goldman Sachs said the 10-year Treasury yield fell 17 bp in one day, below 5%, as the AI selloff drove duration demand, but it still treated a December 25 bp hike as its base case. At home, Xiangcai Securities called the October 23 A-share V-shaped move sentiment repair rather than a full earnings-led reversal, with the Shanghai Composite potentially forming a stage bottom near 3,700. What decides next is whether enterprise AI spending produces measurable returns, whether earnings and fund flows validate the domestic rebound, and whether technology selling broadens from sector rotation into a systemic equity drawdown.

0. Weekly Arc

The dominant fault line is whether AI spending is becoming an earnings engine or remaining a cost center, with Apollo warning on realized returns while Nomura and CITIC defend the broader opportunity [1][2][3]. Apollo Global Management Chief Economist Torsten Slok says revenue per employee is rising at the seven major technology companies but flat at the other 493 members of the S&P 500, with no sign yet that AI is lifting productivity [1].

Yet Nomura Securities expects the memory-chip shortage to persist through 2028 and says the sector is severely undervalued, while CITIC Securities argues that an AI pullback is not the boundary between bull and bear markets [2][3]. Source quality is uneven: the CITIC AI note and the Nomura Fed preview arrive only as headline-level briefs, so their claims carry less evidentiary weight than the fuller Apollo, Goldman Sachs, Bank of America, and foreign-flow reports [1][2][4][5][6][7].

1. Enterprise AI Economics

  • **[ONGOING] Operating evidence.** Slok says mainstream U.S. companies are reducing AI investment and treating token consumption as a cost center rather than a growth source because the spending is squeezing margins [1]. Meta's more aggressive AI plan and higher capital spending plan triggered a share-price decline and pushed a credit-risk metric to a record high [1].
  • **[ONGOING] Infrastructure case.** Nomura says concerns about AI investment are overreacted to, the memory-chip shortage will run through 2028, and sector valuations are severely underestimated [3]. The disclosed bullish case therefore rests on a persistent hardware bottleneck and depressed valuations, not on demonstrated enterprise-wide productivity gains [1][3].
  • **[NEW] Allocation view.** The CITIC headline says the AI pullback is not a bull-bear divide and that non-AI businesses may face a more favorable environment; the supporting detail is not supplied in the packet [2].
  • **[NEW] Near-term test.** Investors are watching whether enterprise AI spending produces the expected return as earnings season begins [1].

2. Global Rates and Technology Risk

  • **[ESCALATED] Bond move.** Goldman Sachs said the 10-year Treasury yield fell 17 bp on Thursday, its largest one-day decline since March 2023, and moved back below 5% [4]. Goldman Sachs Fixed Income, Currency and Commodities strategist Cosimo Codacci-Pisanelli attributes the move to the AI unwind: equity selling pushed capital into long-duration Treasuries and restored bonds' hedge role against stocks [4].
  • **[ESCALATED] Fed path.** Goldman still treats a 25 bp December hike as its base case, says markets may struggle to reprice the full move, and warns that AI-related debt supply plus energy and inflation risks can rebuild rate pressure [4].
  • **[ONGOING] Tactical stance.** Bank of America strategist Michael Hartnett recommends tactical caution through mid-November while U.S. midterms, French bond-market turmoil, and AI financing risk remain unresolved [5]. His tactical call is falling yields, stocks, and the dollar, with the 30-year Treasury heading toward 5% and the dollar index below 100 [5]. Global equity funds still took in $55.6 billion for the week and technology funds $18.8 billion, the highest technology inflow since July, but Bank of America's bull-bear indicator fell from 7.4 to 7.2 [5][8][9].
  • **[ESCALATED] Technology correction.** Deutsche Bank's multi-asset team says technology has fallen about 7% while the rest of the S&P 500 has gained about 5%, leaving a 12-percentage-point gap and roughly 5 percentage points of room to the long-term trend-channel floor [10]. Positioning is not yet extreme: about $30 billion flowed into technology funds over two weeks, although the latest session saw a net outflow [10]. Without a tariff or geopolitical shock, Deutsche Bank views the move as sector rotation rather than a systemic U.S. equity decline, with earnings support and continued fund flows deciding the next leg [10].
  • **[NEW] Regional read-through.** Goldman Sachs cut its 12-month Kospi target by 25% as concerns over the AI trade intensified [11].

3. China Bottoming and Capital Flows

  • **[NEW] Index reversal.** Xiangcai Securities says the Shanghai Composite briefly fell below 3,600 on October 23 before recovering to close higher, while the Shenzhen Component and ChiNext formed bullish-engulfing patterns [12]. It calls the move sentiment repair rather than a full earnings-driven reversal and says the Shanghai Composite may build a stage bottom near 3,700 [12].
  • **[NEW] Flow reality.** Guosen Securities estimates northbound funds were net sellers of RMB5.6 billion during October 19-23, versus RMB14.2 billion the prior week, while flexible foreign capital swung to RMB0.4 billion of net inflow from RMB6.8 billion of net outflow [6]. In Hong Kong for October 14-20, total foreign and Stock Connect flows were a net HK$3.8 billion inflow: stable-type foreign capital contributed HK$14.8 billion, flexible-type foreign capital HK$1.6 billion, and Stock Connect recorded an HK$11.8 billion outflow [6]. The combination is mixed: the index produced a one-day V while estimated northbound selling continued, albeit at a smaller weekly amount [12][6].
  • **[ONGOING] Bottom framework.** Huajin Securities' history of A-share bottoming periods found strong-trend TMT in seven instances, cyclicals in two, medicine in one, and electrical equipment in one, each with excess returns versus the CSI 300 [13]. Its screen looks for valuation percentiles below 30%, lower fund and foreign holdings, lower margin balances, and lower turnover shares, and it favors oversold technology growth and selected cyclicals; high oil prices support petrochemicals while AI demand supports related small metals [13].
  • **[NEW] Beijing exchange.** The BSE 50 rose 3.67% for October 19-23 and closed at 984.90, while the broader A-share week saw only seven industries advance [14]. On October 23, the BSE 50 gained 1.88%, turned back above its five- and ten-day moving averages, and traded RMB16.93 billion as attention increased [15]. The regular report says the rally still depended on a few heavyweight names, with breadth and volume insufficient [14].

4. Sector and Theme Positioning

  • **[ONGOING] Growth rotation.** A brokerage strategy roundup indexed by Sina Finance says technology growth and high-end manufacturing remained active, with computers, machinery, and automobiles leading, while coal, property, communications, and electrical equipment pulled back [16]. It retains the medium-term case for AI computing and semiconductors, sees communications electronics lagging computers, and says high-end demand and copper-clad-laminate price increases support PCB makers, subject to third-quarter results, orders, and valuation [16]. Robotics, new-energy vehicles, auto parts, and equipment remain active but need order and earnings validation, while business-development deals support the innovation-drug outlook [16].
  • **[NEW] Physical AI.** Guotai Haitong's theme barometer shows trading heat edging up, with embodied intelligence and other physical-AI themes leading while semiconductor-equipment, PCB, and domestic-demand themes weakened [17]. Theme turnover averaged RMB694 million a day at a 3.08% turnover rate, and both measures edged higher [17]. Catalysts include the first batch of national standards for humanoid robots and a push by the Ministry of Commerce and eight other departments into trade, logistics, and household applications [17].
  • **[NEW] Industrial policy.** A Guotai Haitong policy index says AI-related policy supply ranked first among eight industries in 2025, with policy resources concentrated in leading provinces such as Guangdong, Beijing, and Shanghai [18].
  • **[NEW] Biopharma.** A new market-and-capital report says China's listed biopharma industry is moving from betting on pipelines toward commercial delivery and earnings realization, while its market-cap share has declined and valuation-management tools remain limited [19]. The study covers 508 A-share healthcare companies and 302 Hong Kong healthcare companies over October 2021-September 2026 [19]. Tsinghua University Global Securities Market Research Institute secretary-general Chi Yongsheng says the sector remains at a historically low relative valuation and that investors now care more about commercialization and earnings than pipeline or clinical headlines [19]. The report recommends adding AI tools to R&D, conducting stage-by-stage development diagnostics, and using equity incentives more effectively [19].

5. Falsification Checklist

  • **[ONGOING] Enterprise AI.** The operating test is whether revenue per employee and margins begin improving outside technology; if token spending remains a cost center without productivity gains, Apollo's warning remains intact [1].
  • **[ESCALATED] Technology correction.** The rotation thesis is invalidated if a tariff or geopolitical shock turns sector selling into a systemic equity decline [10].
  • **[NEW] China bottom.** The V-shaped-bottom case is not confirmed by price action alone and weakens if earnings do not validate the rebound while breadth and volume remain thin [12][14].
  • **[ESCALATED] Rates.** The yield-decline thesis weakens if AI capex, debt-financing supply, and energy-led inflation revive upward pressure on yields [4].
  • **[ONGOING] Checklist.** The next decision points are enterprise AI returns, third-quarter earnings and order delivery, technology-fund flows, December Fed repricing, and any renewed inflation or energy-price shock [1][10][4][15][16].

SOURCE TRAIL

Citations

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