President Xi Jinping used his September 12 keynote at the 18th BRICS Summit in New Delhi to formalize what had been a thesis-driven narrative for two years: a Chinese-led, parallel AI stack for the Global South, anchored to open-source large language models and a bloc-wide training ecosystem. The companion September 13 Session II speech proposed five initiatives — an open-source AI community, a BRICS special economic-zone partnership, a digital ecosystem cloud platform, an intelligent-manufacturing program and a BRICS engineer cultivation alliance. The session chair, India's MEA, separately committed the bloc to implementing the existing BRICS Leaders' Statement on the Global Governance of Artificial Intelligence. The mechanism is political: lock11 member states into a Chinese-anchored AI reference stack before NVIDIA's Blackwell-era inference build-out finishes absorbing global capex.
Nvidia Q2 FY2027 revenue
$96.2B
+106% YoY; Data Center $89.0B (+117% YoY); filed Aug 26, 2026
Nvidia Q2 FY2027 China Data Center revenue
$0
Outlook guidance explicitly excludes any China Data Center compute revenue
Huawei AI chip revenue, 2026 forecast
$12B
Up 60% from $7.5B in 2025, per Reuters/FT reporting on company guidance
Cambricon H1 2026 revenue
RMB 5.996B (~$890M)
+108% YoY; net profit RMB 2.31B (+122% YoY)
Alibaba Cloud external revenue, Q1 FY2027
+45% YoY
22-quarter high; AI products ~35% of cloud revenue; ARR RMB49.5B
BRICS full members
11
Brazil, Russia, India, China, South Africa, Egypt, Ethiopia, Iran, Saudi Arabia, UAE, Indonesia (joined Jan 2025)
The China revenue is already zero
Nvidia Has Already Lost the Bloc's Largest Buyer—Now Comes the Procurement Pivot
NVIDIA's Q2 FY2027 results, filed August 26, 2026, contain the most consequential number for the BRICS thesis: Data Center revenue of $89.0 billion, up 117% year-on-year, with the company's own outlook assuming zero Data Center compute revenue from China. CFO Colette Kress's August 26 commentary was explicit — the $108 billion Q3 guidance range explicitly omits any Chinese Data Center compute contribution. The China gap is not hypothetical; it is in the model.
- Q2 FY2027 revenue $96.22B; gross margin 75.0% non-GAAP; Data Center 92.5% of total — a single-segment business
- Q3 FY2027 outlook $108B ±2%, with China DC compute explicitly zeroed out in guidance
- China was13–17% of Data Center revenue at its 2022 peak; its absence is now baked into every forward multiple
- The Sep 12 BRICS proposal suggests the next buyers in India, UAE, Saudi Arabia and Indonesia will be guided toward Chinese open-source AI reference stacks before NVIDIA's Vera Rubin cycle can absorb their capex
The structural read: NVIDIA no longer needs China to grow — the91%-of-revenue Data Center segment is locked into US hyperscaler and EMEA/Sovereign-AI build-outs. But China going to zero is now permanent, and the Sep 12 BRICS declaration pushes11 member governments into a procurement framework where 'sovereign AI' is a politically acceptable reason to buy Huawei, Cambricon or Alibaba chips rather than NVIDIA. The next wave of sovereign-AI capex in India, the UAE and Indonesia is the marginal buyer.
The Chinese stack is shipping
Huawei, Cambricon and Alibaba Already Built the Alternative—$20B of Annualized AI Silicon and Cloud
The Chinese alternative is no longer a slide deck. Huawei told the FT and Reuters it expects2026 AI chip revenue of approximately $12 billion, up 60% from $7.5 billion in 2025, driven by the Ascend 950PR (mass production March 2026,1.56 PFLOPs FP4) and the upcoming 950DT in Q4. The total company reported revenue of CNY 880.9 billion in 2025 (~$127.5B), with cloud computing including AI chips at CNY 72.08 billion. Cambricon, the pure-play listed AI accelerator, posted H1 2026 revenue of RMB 5.996 billion, up 108% year-on-year, on net profit of RMB 2.31 billion (+122%). Alibaba's Q1 FY2027 cloud segment grew external revenue 45% year-on-year — a 22-quarter high — with AI products now 35% of cloud revenue and an annualized run-rate of RMB 49.5 billion.
China's parallel AI stack, 2026 revenue run-rate
Combined Chinese AI silicon + cloud revenue, annualized
Unit: USD billions
Huawei AI chips
2026E, +60% YoY
12
Cambricon (H1 × 2)
$890M H1 2026 × 2
1.8
Alibaba AI cloud ARR
RMB 49.5B annualized
6.9
Huawei cloud (2025)
CNY 72B (incl. AI)
10.2
The performance gap is real but narrowed. The Carnegie Endowment's June 8, 2026 'Compute Coalition' report estimated China reached only 1–4% of US AI chip production in 2025 and will hit only 1–2% in 2026 — a structural constraint that the Sep 12 proposal explicitly tries to work around via shared LLM training and open-source stacks. Bruegel's July 22, 2026 analysis confirms Huawei's Ascend lags on memory bandwidth and developer tools, requiring 2–4× more power for equivalent output. The strategic response: open-source CANN (Aug 2025), a PyTorch-compatible torch_npu plugin, and DeepSeek-aligned models that run on both NVIDIA and Huawei hardware.
The new buyer pool
BRICS+ Is About to Spend $110B in India Alone — The Question Is Whose Stack
The marginal AI buyer over the next 36 months is not a hyperscaler — it is a sovereign government. JLL's mid-2026 India data-center outlook reports capacity will triple from 1.6 GW in mid-2026 to 6 GW by 2029, requiring USD 110 billion in cumulative investment. PwC's September 2026 forecast sees global data-center capex rise from roughly $800 billion per year in 2026 to $1.8 trillion per year. The global sovereign-AI market — data sovereignty, national AI infrastructure, multilingual models — is projected by Global Market Research to expand from $50.2 billion in 2026 to $249.5 billion by 2035.
| Geography / Market | Capacity or capex indicator | Period | Source |
|---|---|---|---|
| India data-center capacity | 1.6 GW → 6 GW; +275% | mid-2026 to 2029 | JLL India mid-year report |
| India cumulative data-center investment | $110B | through 2029 | JLL India mid-year report |
| Global data-center capex | ~$800B / yr → ~$1.8T / yr | 2026 → 2030+ | PwC Sep 2, 2026 |
| Global sovereign-AI market | $50.2B → $249.5B | 2026 → 2035 | Global Market Research Aug 28, 2026 |
| BRICS+ member-state count | 11 full + 10 partner nations | as of Sep 2026 | BRICS 2026 India chairship |
The BRICS open-source AI proposal directly attacks the procurement framing. India's Jitin Prasada noted at the Sep 12 summit that BRICS countries 'will need massive data-centre infrastructure as AI becomes more important' — a request that the open-source community proposal gives India a politically defensible reason to route to non-US suppliers. The Sep 12 declaration's commitment to implement the BRICS Leaders' Statement on Global Governance of AI — first issued July 6, 2025 — was followed by China's July 17 launch of the World AI Cooperation Organization (WAICO) with 29 member countries, which Xi Jinping invited BRICS members to join.
Supply-chain pressure
Upstream and Downstream — Who Gets Outsourced Along With the Incumbents
The BRICS proposal reshapes the supply chain on both sides of the chip. Upstream, TSMC's CoWoS advanced-packaging capacity is fully booked through 2026, with NVIDIA holding roughly 60% of allocation and the top three customers controlling more than 85%. That lock is a defensive moat for NVIDIA — Chinese accelerators cannot buy their way into CoWoS at scale. But downstream, the data-center networking layer is exposed: Cisco's Q4 FY2026 revenue was $17.3 billion (+18% YoY) with $4 billion in AI infrastructure orders, and Arista Networks's Q2 2026 revenue of $3.04 billion (+37.7% YoY) drove management to raise its 2026 AI networking target to $3.25 billion. Both depend on hyperscaler and enterprise build-outs in the same regions the BRICS proposal targets.
| Company | Q2 / FY26 metric | Exposure to BRICS+ sovereign-AI capex | Direction |
|---|---|---|---|
| NVIDIA | Q2 FY27: $96.2B rev; DC $89.0B; China DC = $0 | CoWoS-locked; loses incremental procurement in India, UAE, Saudi | mixed |
| Cisco | Q4 FY26: $17.3B rev; $4B AI infrastructure orders | Networking attaches to hyperscaler build-outs, not directly to chip | mixed |
| Arista Networks | Q2 2026: $3.04B rev; AI target raised to $3.25B 2026 | Concentrated in US hyperscalers; less BRICS exposure than Cisco | watch |
| Microsoft / Azure | FY26 Q4 rev $331.8B TTM; capex/rev 34.9% | Largest US hyperscaler; biggest single buyer of NVIDIA AI silicon | watch |
| Amazon / AWS | AWS ~30% of cloud share | Cloud-region build-outs in India, UAE, Saudi already live | watch |
| Alphabet Cloud | Cloud rev growth63% in latest quarter | Smaller footprint in BRICS+ data-center build | watch |
The non-obvious read: the supply-chain losers are not the chip vendors, but the data-center networking and cloud-software layers whose revenue attaches to hyperscaler build-outs in the same geographies the Sep 12 BRICS declaration now targets. Cisco reports its Americas region at 59.7% of FY2026 revenue ($33.7B of $56.5B), EMEA at 26.2% ($14.8B), and APJC — which includes India, Indonesia, Saudi Arabia and the UAE — at the balance. A coordinated BRICS+ sovereign-AI procurement shift redirects the marginal networking dollar away from Cisco and toward Chinese or domestic alternatives, including Huawei's own networking stack.
Horizons
Days to Quarters vs. One to Three Years — What Moves First and What Compounds
- Short-term (days–quarters): NVIDIA Q3 FY27 (reported late Nov 2026) is the next test — does hyperscaler Blackwell demand offset a9% stock move and a forward multiple now stretched to 24× earnings? Watch China Data Center disclosures for any resumption of H200 sales or any BRICS+ data point on AI infrastructure orders
- Short-term: Arista Networks Q3 2026 results will show whether the raised $3.25B AI networking target is achievable; if hyperscaler concentration holds, BRICS exposure is minimal in2026
- Short-term: Cambricon and Alibaba Q3 2026 results will show whether the108% and 45% AI growth rates are sustained into the BRICS procurement cycle — a single quarter of deceleration would re-rate the Chinese AI complex
- Long-term (1–3 years): NVIDIA's CoWoS lock at 60% of TSMC packaging is the structural moat — no BRICS+ buyer can bypass it without an alternative advanced-packaging supplier, which does not exist at scale outside Taiwan and Korea
- Long-term: Sovereign-AI market expansion from $50.2B (2026) to $249.5B (2035) implies a 5× TAM growth — even a 20% share loss to Chinese incumbents is offset by absolute market size for NVIDIA if US hyperscalers continue to dominate
- Long-term: The structural risk is the inference-economy geography — Barclays estimates 70% of AI compute demand by 2026 will come from inference; if BRICS+ sovereign clouds route inference to Chinese accelerators, NVIDIA's inference-services opportunity narrows to US/EU
Synthesis
The US Cannot Win by Default — But It Does Not Have to Lose
The thesis the brief flags — that Xi Jinping's Sep 12 BRICS bid forces a sovereign-compute race the US cannot win by default — is supported by the data, but the conclusion is more nuanced than the framing. NVIDIA's Data Center revenue grew117% year-on-year in Q2 FY2027 to $89.0 billion, with China already at zero and the company still guiding Q3 to $108 billion. The CoWoS packaging bottleneck means the BRICS+ bloc cannot physically displace NVIDIA on advanced training silicon in the 12-month window. What the Sep 12 BRICS proposals actually do is reframe the next decision point: when India, the UAE, Saudi Arabia and Indonesia buy sovereign-AI capacity over 2027–2029, the procurement framing is no longer 'best available chip' but 'aligned stack.'
The investors' question is sequencing. In the next two quarters, the numbers favor NVIDIA and the US networking/cloud incumbents — Arista Networks's raised AI target and Cisco's $4B in AI infrastructure orders confirm the demand. Over1–3 years, the question is whether the BRICS+ bloc can build a coherent alternative stack fast enough to capture meaningful sovereign-AI share. The Carnegie Endowment estimate that China will reach only 1–2% of US AI chip production in 2026 is the binding constraint; the Sep 12 BRICS proposal is the political workaround. Watch Cambricon's order book, the rollout of WAICO centers, and India's first major sovereign-AI procurement decision in 2027.
Investable names across the BRICS AI race
- China Data Center revenue is already zero in guidance; Q2 FY27 Data Center $89.0B grew 117% YoY despite the China gap, so the BRICS+ proposal is not a near-term revenue risk
- CoWoS packaging lock at ~60% of TSMC capacity is the structural defense; no BRICS+ buyer can bypass advanced packaging at scale through 2027
- Long-term risk: 20–30% of marginal sovereign-AI procurement in India, UAE, Saudi Arabia routes to Chinese accelerators, capping the post-2027 re-acceleration in inference-economics multiple
- Q4 FY26 revenue $17.3B (+18% YoY) with $4B in AI infrastructure orders confirms networking attaches to hyperscaler capex, not directly to chip politics
- Americas 59.7% / EMEA 26.2% of FY2026 revenue; APJC exposure — including India, Indonesia, Saudi Arabia, UAE — is the smallest segment but the one most exposed to the Sep 12 BRICS procurement shift
- Long-term: Huawei's networking stack competes directly with Cisco in BRICS+ data-center build-outs, threatening the 14% APJC growth rate in Q4 FY26 if procurement re-routes
- Q2 2026 revenue $3.04B (+37.7% YoY); management raised 2026 AI networking target to $3.25B after Q1, signaling US hyperscaler demand remains the binding constraint
- Customer concentration is the binary risk: 'But 2 customers' (per Aug 2026 commentary) — any capex pull from a top hyperscaler would more than offset BRICS+ exposure
- Long-term: less BRICS+ exposure than Cisco due to hyperscaler concentration, but a sovereign-AI procurement shift away from Western clouds would limit new-region expansion through 2028
- TTM revenue $331.8B; capex/revenue 34.9% (~$116B annual run-rate) makes Microsoft the single largest buyer of NVIDIA AI silicon globally
- Azure is the largest US cloud with active regions in India, UAE and Saudi Arabia; a BRICS+ procurement shift away from US clouds would slow international-region expansion
- Long-term: if sovereign AI normalizes non-US stacks, Microsoft loses incremental Azure ARR in BRICS+ markets but retains the Western enterprise base
- Q1 FY2027 cloud external revenue +45% YoY (22-quarter high); AI products 35% of cloud revenue and ARR RMB 49.5B; T-Head's Zhenwu M890 chip released May 2026
- T-Head tripled its registered capital in June 2026 ahead of a planned IPO, and the BRICS open-source AI proposal is a direct distribution channel for Alibaba cloud + chips
- Long-term: Alibaba is the only listed company that combines AI silicon (T-Head), cloud infrastructure (Alibaba Cloud) and an LLM stack (Qwen) — the closest single-name proxy for the Chinese parallel stack
- H1 2026 revenue RMB 5.996B (+108% YoY); net profit RMB 2.31B (+122%); pure-play listed AI accelerator and the highest-beta proxy for the China AI silicon substitution
- Q1 2026 revenue RMB 2.885B (+159.6% YoY) shows the growth is accelerating into the BRICS+ procurement cycle, not decelerating
- Long-term: a single major BRICS+ sovereign-AI procurement win — likely India or UAE — would re-rate Cambricon further; risks include a Huawei pricing response and continued memory-bandwidth lag versus NVIDIA
- CoWoS advanced packaging fully booked through 2026; NVIDIA holds ~60% allocation — this is the binding constraint on Chinese AI accelerator output and the structural defense of the US stack
- Capacity scaling to ~130,000 wafers/month by late 2026 quadruples 2024 levels; TSMC revenue is the cleanest read on whether BRICS+ can build capacity outside Taiwan
- Long-term: a Chinese or Indian advanced-packaging alternative at scale by 2028 is the condition for the BRICS+ parallel stack to physically displace NVIDIA; no such alternative is currently visible
