{"slug": "hows-the-us-china-tech-war-going-ask-ai", "title": "How’s the US-China tech war going? Ask AI", "summary": "A Yale School of Management-led study fed more than 600,000 corporate earnings calls from 22,000 listed companies over two decades into open-source large language models run on Stanford University computing to measure how US export controls actually affect firms, finance professor Christopher Clayton and co-authors report in the paper Geoeconomic Pressure. The analysis found US companies hit by Washington's restrictions lost volumes and compressed margins, while roughly 40 per cent of Chinese earnings calls flagged for export curbs reported ramped-up R&D, with two-thirds of those higher-spending calls falling into an AI-coined category the researchers labelled \"core technology indigenisation.\" The authors say the models' reading of executive disclosures matched independent sell-side analyst assessments almost in lockstep, capturing costs executives tend to downplay.", "body_md": "# How’s the US-China tech war going? Ask AI\n\nBy latching on to what corporate bosses prefer to downplay, a nuanced account of pains and gains is captured\n\nAN UNMISTAKEABLE shots-fired moment in the US-China tech war arrived in early 2024 – via the Netherlands.\n\n“We do not expect to get export licences for our most advanced immersion systems – the NXT:2000 and up – for China in 2024,” executives at ASML, the Dutch lithography giant at the heart of the global semiconductor supply chain, said on their earnings call in January that year.\n\nIt warned that the curbs, a result of years of US pressure, would knock 10 to 15 per cent off the company’s core China equipment sales.\n\nFor global investors, this was Washington flexing its hegemonic muscle to delay a key rival’s race to the frontier of artificial intelligence, just as it was becoming the defining general-purpose technology of our era.\n\nBut the disclosure raised more questions than it answered: What does a warning like ASML’s mean for investment portfolios?\n\nWho will bear the costs and reap the profits – the US, which [designed the restrictions](https://www.businesstimes.com.sg/companies-markets/telcos-media-tech/asml-shows-chasm-chip-land-ai-winners-versus-everyone-else), or China, their intended target? And how are risks and returns being rewritten for companies caught in the crossfire across the world?\n\nThe investment community has some answers in *[Geoeconomic Pressure](https://www.bis.org/publications/working-paper-1386-geoeconomic-pressure)*, a paper written by Christopher Clayton, a Yale School of Management finance professor, and other economists.\n\nThey fed more than 600,000 corporate earnings calls – spanning two decades and 22,000 listed companies worldwide, including China – to open-source large language models running on Stanford University’s computing systems.\n\nThe algorithm listened for genuine causality: not merely whether CEOs mentioned flashpoints, but if state coercion actually forced them to alter prices, divert investments or redraw supply chains.\n\nThat nuance matters because traditional keyword searches stumble over context.\n\nEven sophisticated statistical tools unleashed on a bag of words fail to do the job: A routine maintenance shutdown can get flagged as business disruption and ascribed to a tariff action. A pre-trained language model, by contrast, grasps sentence-level intent, weeding out such false positives.\n\nLanguage models are just as effective against false negatives. On public calls, corporate executives are notoriously reticent, loath to linger on the fallout of government diktats – particularly those from their own political leaders.\n\nTo look past this hesitation, the researchers ran the same models over equity analysts’ reports. The AI’s reading of C-suite disclosures matched independent sell-side assessments almost in lockstep.\n\nBy latching on to what corporate bosses prefer to downplay, AI captured a nuanced account of pains and gains. In the US, companies subjected to Washington’s restrictions faced lost volumes and compressed margins. Across the Pacific, the shock worked like an adrenaline shot.\n\nIn roughly 40 per cent of Chinese earnings calls flagged for export curbs, management reported ramping up R&D.\n\nAmong calls detailing higher spending, two-thirds aligned with a category that AI labelled as “core technology indigenisation” – pouring money into home-grown chip gear to escape the US chokehold. (The algorithm did not just sort transcripts into pre-assigned slots; it coined the category names.)\n\n## Impact of geopolitical shocks\n\nOther geopolitical shocks produced similar ironies. When Western sanctions hit Russia after its 2022 invasion of Ukraine, companies in Europe and the US shouldered write-downs, asset forfeitures and higher logistics bills.\n\nThe real winners were non-aligned bystanders in China and India. Freed from Western competition, they rushed into the vacuum and scooped up heavily discounted Urals crude.\n\nNor did US President Donald Trump’s 2025 tariff offensive go as intended. Foreign exporters did not “eat” the duties, as Trump had predicted. In nearly three-quarters of instances where management disclosed an effect, the impact was negative.\n\nAmong those reporting outright harm, close to 60 per cent pointed to inflated input bills. The rare domestic winners were those insulated from foreign supply chains. Without being saddled with the extra costs paid by their import-reliant rivals, they could still raise prices.\n\nForeign producers, meanwhile, absorbed the pressure not by slashing export prices, but by moving factories to Vietnam and Mexico.\n\nWhether the weapon is a tariff, a sanction or a chip ban, economic statecraft is rarely a surgical strike. More often than not, it is a messy carpet bomb that leaves substantial collateral damage in its wake.\n\nInvestors profit from being able to spot unintended consequences before they appear in the price. Machines reading corporate chatter may just give them the edge to bet on geopolitics before the rest of the market catches on. BLOOMBERG", "url": "https://wpnews.pro/news/hows-the-us-china-tech-war-going-ask-ai", "canonical_source": "https://www.businesstimes.com.sg/opinion-features/hows-us-china-tech-war-going-ask-ai", "published_at": "2026-10-29 03:18:34+00:00", "updated_at": "2026-10-29 07:19:49.029685+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-research"], "entities": ["Yale School of Management", "Christopher Clayton", "ASML", "Stanford University", "Geoeconomic Pressure", "NXT:2000"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/hows-the-us-china-tech-war-going-ask-ai", "markdown": "https://wpnews.pro/news/hows-the-us-china-tech-war-going-ask-ai.md", "text": "https://wpnews.pro/news/hows-the-us-china-tech-war-going-ask-ai.txt", "jsonld": "https://wpnews.pro/news/hows-the-us-china-tech-war-going-ask-ai.jsonld"}}