
- The nature of the expansion: The manufacturing PMI (Purchasing Managers’ Index) rose 0.3 points to 50.1 and output reached 51.7, the highest this year; but new orders slipped to 50.5 and backlogs of orders remained in contraction at 46.
- A second signal inside the same data: The rise in output prices came from petrochemicals and consumer electronics, high-tech and equipment manufacturing stayed in expansion, and internet software and IT services led the services sector — three improvements pointing to one chain.
- The AI cycle is confirmed across datasets: Business surveys, prices, profits, trade and reported earnings — five independent statistical sources point to the electronics chain, the most complete body of evidence in this data round.
- Policy money is directed, not uniform: The RMB 800 billion new policy-based financial instrument is explicitly tilted toward the digital economy and AI infrastructure; mortgage interest subsidies and SME funding support address domestic demand and are not AI-related.
- Valuation and upside: On a fair PE (Price-to-Earnings) of 55x applied to 2028 estimated earnings per share of RMB 1.72, the CSI All-Share Information Technology Index carries a target level of 17,224, implying roughly 57% three-year upside from around 11,000.
The headline readings and what drove them
The manufacturing PMI came in at 50.1 in September, up 0.3 points from August and back above the expansion line for the first time in two months. The PMI is a diffusion index ranging from 0 to 100, with 50 separating expansion from contraction. The non-manufacturing business activity index rose 1.2 points to 50.2, with construction at 50.3 and services at 50.2; the composite output index was 50.7.
The headline readings improved across the board, but the source of that improvement determines how much it is worth. First, September is the peak production season and the disruption from extreme weather had fully faded; over the past decade the index has risen an average of about 0.2 points in September. Second, the RMB 800 billion new policy-based financial instrument was fully deployed during the month, lifting construction sharply. Third, the Mid-Autumn Festival fell in September this year, pulling some household consumption forward. Two of the three drivers are seasonal or timing-related and one is policy-driven; none represents self-sustaining demand.
| Sub-index | Sep | Aug | Comment |
| Manufacturing PMI | 50.1 | 49.8 | Back in expansion after two months |
| Output | 51.7 | 50.4 | Highest this year; main driver of the rebound |
| New orders | 50.5 | 50.6 | Slight decline; second month in expansion |
| New export orders | 50.0 | 50.1 | At the dividing line; export momentum easing |
| Backlogs of orders | 46.0 | - | Still contracting; demand durability unconfirmed |
| Employment | 48.4 | - | Output expansion has not yet lifted hiring |
| Input prices | 60.8 | 56.6 | Second consecutive monthly rise |
| Output prices | 54.0 | 50.4 | In expansion, but the gap to input prices widened |
| Source: National Bureau of Statistics, iFinD, iFAST
Research compilation Data as of September 2026 |
|||
Demand: an expansion not yet confirmed
Output rose 1.3 points to 51.7, the highest reading this year and the main driver of the rebound. Orders did not follow: new orders slipped to 50.5, new export orders fell to the 50.0 dividing line, and backlogs of orders stayed in contraction at 46.0. Output running ahead of new orders, and new orders ahead of backlogs, forms a chain that weakens at each step — production is being supported by the delivery of existing orders rather than by a steady flow of new demand. Two further indicators point the same way: employment at 48.4 shows that the expansion in output has not yet lifted hiring, and while finished-goods inventories fell, raw-material inventories remained in contraction, meaning firms have not begun restocking. Restocking usually follows a firm’s own confirmation that demand will hold; its absence means this month’s improvement has not yet been validated by corporate behaviour.
The AI signal inside the data: five independent datasets, one direction
The same dataset contains a second signal running the other way. Output prices rose to 54.0, but the increase was driven by relatively fast price gains in a small number of sectors — petrochemicals and consumer electronics — while the broader industrial goods market remains one of strong supply and weak demand. Within manufacturing, high-tech and equipment manufacturing stayed in expansion while energy-intensive industries continued to contract. Within services, internet software and IT services remained among the strongest sectors, supported by the global AI investment cycle and continued progress in domestic large models, while real estate sat deep in contraction. The improvement captured by the survey is not broad-based; the three areas of strength point to a single chain.
This is not an isolated signal. Placing different statistical sources side by side, the direction is consistent. On prices, output prices in computer, communications and other electronic equipment manufacturing have accelerated for two consecutive months, and the increase has passed through to consumer electronics at the retail level. On profits, the sector’s profits grew 18.5% year-on-year in the first seven months, contributing more than 80% of the entire electronics industry’s profit increment. On production, electronics output rose 17.2% year-on-year in August. On trade, integrated circuit exports more than doubled year-on-year in the first eight months and have become China’s largest export category. On reported earnings, the CSI All-Share Information Technology Index delivered 20% revenue growth and 74% earnings growth in the first quarter, with earnings growing close to four times as fast as revenue. Five independent statistical sources pointing to the same chain is the most complete body of evidence in this data round.
| Source type | Indicator | Reading | Period |
| Business survey | High-tech and equipment manufacturing PMI | In expansion | Sept-26 |
| Business survey | Internet software and IT services activity | Among the strongest | Sept-26 |
| Prices | Electronic equipment output prices, y/y | +5.3%, accelerating | Aug-26 |
| Profits | Electronic equipment sector profits, y/y | +18.5% | Jan-Jul 2026 |
| Production | Electronics industry value added, y/y | +17.2% | Aug-26 |
| Trade | Integrated circuit exports, y/y | More than doubled | Jan-Aug 2026 |
| Earnings | CSI All-Share Info Tech Index revenue / earnings, y/y | +20%/+74% | Q1 2026 |
| Source: National Bureau of Statistics, General Administration of
Customs, iFinD, iFAST Research compilation. Electronic equipment refers to
computer, communications and other electronic equipment manufacturing Data as of September 2026 |
|||
The contrast on the domestic demand side is stark: retail sales grew just 0.4% year-on-year in August, and property development investment fell 19.9% in the first eight months. The K-shaped divergence — new growth drivers rising while traditional ones decline — is therefore no longer a contrast between manufacturing and services, but one occurring inside both sectors at once. For investors, the implication is that a headline reading back above 50 does not justify allocating to the headline: the verifiable part of the improvement is narrow, and it coincides with the AI chain.
Policy: two layers of funding, only one of them technology-directed
This month’s policy measures should be read in two layers rather than grouped together. The technology-directed layer is the RMB 800 billion new policy-based financial instrument. It is 60% larger than the RMB 500 billion deployed in 2025 and equivalent to roughly 0.6% of 2025 gross domestic product; the 2025 round supported projects with total investment of more than RMB 7 trillion, and the current round is estimated to mobilise RMB 8–11 trillion. More important than the size is the direction: alongside traditional infrastructure, the instrument is explicitly tilted toward the digital economy, AI infrastructure, the low-altitude economy and commercial space — the same direction in which the activity data is concentrated. The technology finance component of the central bank’s structural tools, refined at the end of the month, belongs to the same layer.
The second layer addresses domestic demand and financial inclusion and has no direct bearing on the AI chain: the first nationwide interest subsidy on selected new residential mortgages, announced jointly by the Ministry of Finance, the People’s Bank of China and the National Financial Regulatory Administration, and the support for small and micro enterprise funding within the structural toolkit. These measures matter for stabilising property and employment — they are an offset to the lower half of the K-shaped divergence — but they are not the basis for the allocation view in this article. On the aggregate stance, core CPI (Consumer Price Index) excluding food and energy rose 1.0% year-on-year in August, leaving core inflation subdued and the conditions for a supportive stance intact, while the relative strength of production and exports reduces the urgency of broad-based easing.
Risks
- Global AI capital expenditure and exports: New export orders have already fallen back to the dividing line. Revenue in China’s AI chain is export- and capex-driven, so a slowdown in global computing investment or greater external trade volatility would put earnings estimates — and the target level — under downward pressure.
- Demand may fail to expand on its own: Backlogs of orders and employment remain in contraction and firms have not started restocking. If new orders fall back once seasonal and timing effects fade in the fourth quarter, the improvement in output will be hard to sustain.
- Deeper margin pressure midstream and downstream: The gap between input and output prices widened further. If raw material prices continue to rise faster than finished goods prices, profits will come under more pressure, which may in turn weigh on production and investment appetite.
- Sensitivity of earnings and valuation assumptions: The target level rests on a fair PE of 55x applied to 2028 estimated earnings per share. If earnings growth undershoots, or the market applies a lower fair multiple, the potential upside narrows materially
- Higher-for-longer rates offshore: Elevated long-end yields offshore can compress growth-asset multiples through global risk appetite, independently of domestic activity and policy.
Valuation and three-year potential
Our view that this cycle is driven by earnings delivery rather than multiple expansion can be tested on the valuation path itself. Measured against the current index level and estimated earnings per share for each forecast year, the forward PE of the CSI All-Share Information Technology Index falls from the low fifties in 2026 to the mid-thirties by 2028 — the rapid expansion of the denominator compresses the multiple on its own. We retain a fair PE of 55x, slightly above the 2026 forward multiple on the current index level but well below the index’s realised valuation centre in recent years, so that the target return comes principally from earnings growth rather than from re-rating.
| CSI All-Share Info Tech Index | FY25 (Actual) | FY26E | FY27E | FY28E |
| PE (x) | 68.0 | 52.1 | 42.3 | 35.1 |
| Earnings growth | 45% | 70% | 23% | 20% |
| Earnings per share (RMB) | 0.69 | 1.16 | 1.43 | 1.72 |
| Target level (index points) | - | - | - | 17,224 |
| Three-year upside potential | - | - | - | +57% |
| Source:
iFinD, iFAST Research compilation. FY25 PE is actual; FY26E-FY28E are forward
multiples on the current index level and each year's estimated earnings per
share. The target applies a fair PE of 55x to 2028 estimated earnings per
share; the conversion factor of 182.0 is taken from the FY2025 base (index
level ÷ (earnings per share × PE)) and held constant throughout Data as of 30 September 2026, against an index base of approximately 11,000 points; to be re-verified against the Bloomberg level on the publication date and the upside updated accordingly |
||||
On that basis the index carries a target level of 17,224,
implying roughly 57% of three-year upside from around 11,000. The principal
driver is earnings per share rising from RMB 1.16 to RMB 1.72, a gain of about
48%; if earnings growth undershoots, or the market applies a multiple below
55x, the potential narrows accordingly.
Fund in focus and allocation framework
The concentration of activity identified in this article sits in the onshore electronics and semiconductor chain, and the GF CSI All Share Information Technology Index ETF is the instrument that corresponds directly to that argument.
| Fund in focus | Code | Market | Benchmark index | Evidence in this article |
| GF CSI All Share Information Technology Index ETF | SZSE: 159939 | Shenzhen Stock Exchange | CSI All-Share Information Technology Index | AI chain confirmed across five datasets |
| Source: Fund manager and index provider public disclosures, iFAST Research compilation | ||||
This allocation is framed over the medium to long term: the pass-through from activity and prices into revenue and profit usually takes several quarters, and monthly fluctuations in survey readings are not a reason to change the structure of a portfolio. Investors should size the position according to their own risk tolerance and investment horizon.
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Disclaimer
Important Notice
This report is prepared by the iFAST China Research Team for general information purposes only and is published to a general investor audience. It does not constitute, and should not be construed as, an offer, solicitation or recommendation to buy or sell any security, fund or investment product, and it does not take into account the investment objectives, financial situation or particular needs of any specific recipient.
The information, views, forecasts and valuations contained herein are based on public information the team considers reliable and on its independent judgement. No express or implied warranty is given as to their accuracy, completeness or timeliness. Forward-looking statements are subject to uncertainty and actual outcomes may differ materially.
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Before making any investment decision, investors should independently and carefully assess the relevant risks and, where necessary, seek independent financial, legal or tax advice appropriate to their own circumstances.
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Analyst Disclosure
As at the date of publication of this report, the author, Ian Li, CFA, and his immediate family hold NIL position or interest in the securities or related investment products mentioned herein; the author’s compensation is not directly linked to the specific views expressed in this report.
Use of Artificial Intelligence
Artificial intelligence tools may have been used in the drafting, data compilation and chart preparation of this report; all resulting output has been independently reviewed and verified by the research team.

