Trump-Xi Summit: AI Chip Exports and Nvidia's China Future

The single most surprising fact about the May 2026 Trump-Xi summit is not what was negotiated, but what didn't happen. Despite a formal Commerce Department regulation published on January 13, 2026 that gave roughly ten approved Chinese firms — Alibaba, Tencent, ByteDance, JD.com, Lenovo and others — the right to each purchase up to 75,000 Nvidia H200 chips, not a single H200 has shipped to any of those buyers as of the summit's close ^[1]. Commerce Secretary Howard Lutnick told a Senate hearing that Beijing has held back purchases because Chinese firms are 'trying to keep their investment focused on their own domestic' chip suppliers, including Huawei ^[1]. This is a structural reversal of the prior two years of policy debate: for most of 2024 and 2025, the binding constraint was U.S. willingness to license; now the binding constraint is Chinese willingness to buy. Reddit's r/China community has seized on Lutnick's testimony as evidence that Beijing holds the upper hand, and the framing maps cleanly to the on-the-ground data — no chips, no signed AI governance framework, and a Geneva-truce tariff package that papered over rather than resolved the underlying technology dispute ^[1].

The mechanism at the heart of the H200 deal is unprecedented: rather than licensing chips through a binary yes/no regime, Trump's framework requires Nvidia to remit 25% of its China H200 sales directly to the U.S. government ^[1]. CFR's Chris McGuire calls the design strategically incoherent and unenforceable because 'any deal that allows Nvidia to sell more chips to China means fewer Nvidia chips for U.S. firms, and a smaller U.S. lead in AI over China' ^[3]. The same CFR analysis estimates that one million H200 chips would raise China's installed AI compute by 250% in 2026 — a step-change that flows through directly to PLA-adjacent training capacity even with end-use certification and a 50% U.S.-vs-China shipment cap built into the rule ^[3]. Michael C. Horowitz, also at CFR, frames the H200 decision as 'a more dovish approach toward what has been [the U.S.'s] preeminent geopolitical rival,' while Zongyuan Zoe Liu argues the reopening hands China 'not just a respite but a powerful opening' ^[4]. Heidi Crebo-Rediker warns the licensing deal could be 'politically explosive' and trigger a 'fierce backlash from China hawks' in Congress ^[1]. The MS NOW panel on YouTube echoed the same disconnect — that the 25% revenue-share reversal contradicts the White House's own export-control logic.

The reason Chinese firms can credibly slow-walk H200 orders is that Huawei has built a domestic alternative that no longer looks like a downgrade. Huawei is targeting roughly $12 billion in AI chip revenue in 2026, up about 60% from $7.5 billion in 2025 ^[6]. The Ascend 950PR delivers 1.56 PFLOPS of FP4 — about 2.8x the FP4 performance of Nvidia's now-banned H20 — and is the centerpiece of Beijing's homegrown-hardware push ^[8]. Tom's Hardware projects Huawei could 'seize China's AI chip crown in 2026' in a market expected to reach $67 billion by 2030 ^[5]. Even Jensen Huang has publicly argued top-tier Blackwell and Rubin parts should stay home: 'China should not have Blackwell or Rubin AI GPUs ... US should have the first, the most, and the best when it comes to AI hardware' ^[5]. The longer-term implication is a bifurcation of the global AI software stack along CUDA-vs-Cann lines — and the hardware-journalist contrarian on Reddit who argued SMIC cannot reach the leading edge without EUV is right about leading-edge fabrication, but irrelevant to the H200 generation where Huawei is already shipping competitive parts.

Lost in the chip headlines is that China's rare-earth squeeze remains unresolved and arguably the more durable form of Beijing's leverage. Rare-earth exports from China are still running roughly 50% below pre-restriction levels, and China controls approximately 85% of global rare-earth processing — inputs critical to semiconductor manufacturing itself ^[1]. The restrictions began in April 2025 when China introduced rare-earth export licensing; exports fell 93% year-on-year by May 2025 ^[9]. CSIS's Gracelin Baskaran warns that translating any normalization pledges into actual supply will take 'years, not months' ^[1]. Capital Economics' Leah Fahy is similarly skeptical, pointing out that Trump's 2017 China summit produced $250 billion in announcements, 'none of which materialized' ^[1]. The summit's framing of the relationship as 'constructive, strategic and stable,' combined with Trump's invitation to Xi for a September 24 White House visit, is more atmospheric than operational ^[2]. MERICS' Jacob Gunter predicted exactly this outcome — that the leaders would 'probably end up leaving these to the side,' and that 'AI and semiconductors are two of the many different fronts of the new Cold War' ^[7].

Despite the summit's lack of operational deliverables, the market read is asymmetrically bullish for Nvidia. The company's $78 billion annual guidance assumes zero China H200 revenue; any licensing-driven recovery is estimated at $3.5–4 billion, or roughly a 4–5% upside that is essentially not in models ^[1]. r/NVDA_Stock summarized the disposition crisply — 'China revenue is essentially not in models, so any reopening is upside' — and NVDA traded above $230 in premarket on summit headlines. The Bloomberg Television preview framed chips as one of three core summit pillars alongside fentanyl tariffs and soybeans, while Forbes Breaking News captured Trump's signature carve-out — that chip sales are 'really between you and Nvidia,' but 'not the Blackwell.' Wedbush's Dan Ives summarized the stakes: 'What is at stake is not just one trip or one headline but the direction of AI supply chains' ^[1]. For builders and investors, the asymmetry is the point: every additional Chinese hyperscaler that refuses an H200 order is a data point that Huawei's roadmap is real, but every approved license that finally clears is a clean beat on a model that already assumes zero. The base case after Beijing is that both can be true at once, for longer than either side intended.