AI, Rare Earths and Trade: Why the Next U.S.–China Talks Matter for Tech Stocks

Educational research only — not investment advice.

US China trade is moving back to the center of the technology market.

President Donald Trump and Chinese President Xi Jinping are scheduled to meet in Washington on September 24, with AI, tariffs, rare earths and technology restrictions expected to be major topics.

For tech investors, the issue is simple:

chips need technology access, while factories need critical minerals.

Both are increasingly tied to U.S.–China policy.

Why AI Is Part of the Trade Fight

The U.S. and China are competing heavily in artificial intelligence.

One of Washington’s main tools has been restrictions on exports of advanced AI chips and semiconductor technology to China.

China, meanwhile, wants fewer technology restrictions.

Recent talks are also expected to cover AI safety, open-weight models and possible rules around advanced systems.

That makes the summit important for semiconductor companies.

Any change in export rules could affect which products U.S. chipmakers are allowed to sell into China.

Why Rare Earths Matter

Rare earths are used in:

  • semiconductors
  • electric vehicles
  • smartphones
  • wind turbines
  • aerospace
  • defense equipment

China remains central to the global rare-earth supply chain.

That gives Beijing significant influence over materials needed by U.S. technology and industrial companies.

Some Chinese suppliers recently suspended shipments to U.S. customers because of geopolitical and compliance concerns.

This shows why rare earths have become a major negotiating issue.

Tariffs Are Still a Major Risk

The current U.S.–China tariff truce is due to expire on November 10.

The September talks may determine whether that truce is extended or whether trade tensions begin rising again.

Officials are also discussing possible reductions in tariffs on some non-strategic goods.

One example is energy.

China and the U.S. are discussing reducing China’s 15% tariff on U.S. LNG as part of a wider package of possible tariff cuts.

That suggests both sides may be searching for areas where trade can increase without giving up restrictions on strategically sensitive technologies.

Why Tech Stocks Care

Technology companies are exposed to U.S.–China relations in several ways.

Semiconductors depend on export rules.

Hardware manufacturers depend on Asian supply chains.

EV companies need batteries and critical minerals.

AI companies need advanced chips and data-center equipment.

So even if a company has little direct revenue from China, trade restrictions can still change its costs or supply chain.

That is why U.S.–China headlines can move technology stocks quickly.

A Deal Would Not End the Rivalry

Even if the September summit produces agreements, the larger technology competition is unlikely to disappear.

Both countries increasingly see AI, chips and critical minerals as strategic industries.

Washington wants greater access to rare-earth materials while maintaining controls on sensitive technology.

Beijing wants easier access to advanced technology and fewer trade restrictions.

So the likely issue is not whether competition ends.

It is whether both sides can manage it without another major trade escalation.

What Should Investors Watch?

Watch AI chip export rules, rare-earth shipments, tariff announcements, semiconductor stocks and the November 10 tariff deadline.

The key question is:

Can the U.S. and China stabilize trade while continuing to compete in AI and critical technology?

If talks reduce uncertainty, technology supply chains could become easier to plan.

If restrictions tighten again, semiconductors, EVs and other China-sensitive sectors could face renewed volatility.

Track U.S.–China Risk With TradingSimuLab

TradingSimuLab’s Macro and Risk tools help users study changing trade conditions, sector trends and market risk as global policy develops.

For more quantitative market research and educational trading tools, sign up to TradingSimuLab.

TradingSimuLab is for educational and research purposes only and does not provide investment advice.

Continue exploring TradingSimuLab.

  • Samsung, SK Hynix and OpenAI: Why Memory Chips Are Becoming an AI Bottleneck

    The AI chip race is no longer only about GPUs. Memory is becoming one of the industry’s biggest bottlenecks. OpenAI is deepening cooperation with Samsung Electronics and already has agreements with both Samsung and SK Hynix for memory used in its Stargate AI infrastructure. At the same time, shortages of high-bandwidth memory, or HBM, are…

  • Qualcomm vs Nvidia: Can Amazon’s $60 Billion AI Chip Deal Change the Race?

    Qualcomm just gained one of its biggest opportunities yet to challenge the AI-chip leaders. Amazon has entered a long-term partnership with Qualcomm covering custom AI data-center chips and high-speed optical connectivity. Under the agreement, Amazon could purchase up to $60 billion of Qualcomm products and services over time. That does not mean Qualcomm suddenly replaces…

  • ASML’s $400 Million High-NA Machines: Why They Matter to the AI Chip Race

    The next generation of AI chips may depend on machines costing as much as $400 million each. They are called High-NA EUV lithography systems, and only one company makes them: ASML. TSMC, Samsung, SK Hynix and Intel are all moving toward High-NA adoption as chipmakers push toward smaller, faster and more power-efficient semiconductors. The question…

  • China Credit Slowdown: Why Weak Loan Demand Matters forAsian Stocks

    China’s banks are lending again—but borrowers are still reluctant to take on debt. Chinese banks issued just 60 billion yuan of new loans in August 2026, far below market expectations of around 400 billion yuan. Household borrowing also contracted for a sixth consecutive month. That matters far beyond China’s banking system. Weak credit demand can…

  • China Property Reset: Can Beijing Stabilize Four Million Unsold Homes?

    China is trying to reset its property market after years of falling prices, developer failures and weak buyer confidence. The challenge is enormous. China is still dealing with millions of unsold and unfinished homes, while new-home prices fell again in August 2026. The key question is: Can Beijing reduce excess housing supply fast enough to…

  • Why S-REITs Are Raising Billions in 2026—and What Dilution Means for Investors

    Singapore REITs are raising billions of dollars again. By September 10, S-REITs had raised at least S$4.5 billion through equity fundraising in 2026, exceeding the amount raised during the same period last year. The money is largely being used to buy new properties and expand portfolios. But issuing new units creates an important question: Does…

  • S-REIT Yield Spread Explained: Why a 6% Yield Is Not Automatically Cheap

    Singapore REITs currently offer attractive headline income. But a high yield does not automatically mean a REIT is cheap. S-REITs yield about 6.2% on average, while Singapore’s 10-year government bond yield is around 2.36%. That leaves a sizeable income premium for taking REIT risk. The important question is: Is that extra yield compensation for an…

  • DBS vs OCBC vs UOB: Why Singapore Banks React Differently to Interest Rates

    DBS, OCBC and UOB are all major Singapore banks—but interest-rate changes do not affect them in exactly the same way. Higher rates can improve lending margins. Lower rates can squeeze them. But today’s banks also earn heavily from: That means the real question is: Which bank is most dependent on interest income—and which has the…

  • Singapore’s AI Chip Supply Chain: The Stocks Behind the Semiconductor Boom

    Singapore does not have its own Nvidia or TSMC—but it occupies several increasingly valuable parts of the global AI chip supply chain. The city-state specializes in areas such as: Those activities become more important as AI chips grow more complex and expensive. Singapore secured about S$30 billion of semiconductor investment between 2022 and 2025, and…