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.

  • Earnings Revisions Explained: Why Analyst Forecast Changes Can Move Stocks Before Earnings

    Stocks do not wait for earnings day to react. Analysts constantly update forecasts for: When those estimates change, investor expectations change too. That is why a stock can rise or fall weeks before the company actually reports earnings. These changes are called earnings revisions. Educational research only. This article is not investment advice. What Are…

  • Gap Up vs Breakout: Why a Big Overnight Jump Can Still Become a Fakeout

    A stock can open sharply higher and still finish the day looking weak. That is because a gap up is not automatically a confirmed breakout. A gap tells you that price moved significantly between one session’s close and the next session’s open. A breakout tells you that price has moved beyond an important level. The…

  • Relative Strength Explained: How to Find Market Leaders Without Chasing Hype

    Relative Strength Explained: How to Find Market Leaders Without Chasing Hype Some stocks rise faster than the market. Others lag even when the index is strong. Relative strength helps identify that difference. It asks: Is this stock outperforming or underperforming its benchmark? That can help investors spot market leadership. But strong relative performance does not…

  • Credit Spreads Explained: An Early Warning Signal for Stocks and the Economy

    Credit spreads can reveal financial stress before it becomes obvious in the stock market. When investors become worried about companies repaying debt, they demand more compensation for holding corporate bonds. That extra compensation is the credit spread. The simple idea is: Narrow spreads = greater confidence. Wider spreads = greater concern about risk. That makes…

  • Stock Market Concentration Risk: What Happens When a Few Mega-Caps Drive the Index?

    The S&P 500 contains 500 companies—but they do not all matter equally. A small group of mega-cap technology companies can account for a huge share of the index. In 2026, the Magnificent Seven still represent roughly one-third of the S&P 500’s weight. That creates an important risk: An index can look diversified while its performance…

  • AI Power and Cooling Stocks: The Hidden Infrastructure Trade Behind the Data Center Boom

    The AI boom is creating winners far beyond Nvidia and semiconductor stocks. Every AI data center also needs: That is creating a second AI investment theme: power and cooling infrastructure. The opportunity is real. But after sharp stock-price gains, investors also need to ask: Is the trend still healthy—or becoming overextended? That is where TradingSimuLab’s…

  • AI Data Center Power Crunch: Can Electricity Supply Keep Up With AI Demand?

    AI may be running into a surprisingly old-fashioned problem: electricity. Building more AI models requires more GPUs. More GPUs require more data centers. And more data centers require enormous amounts of: The AI race is therefore becoming a power-infrastructure race. The key question is: Can electricity supply expand quickly enough to keep up with AI…

  • Market Liquidity Explained: Why Prices Move Fast When Buyers Disappear

    Markets can move violently even without a huge change in fundamentals. Sometimes the problem is simply: there are not enough buyers. This is a liquidity problem. Market liquidity describes how easily an asset can be bought or sold without causing a large change in price. When liquidity is strong, trades are absorbed smoothly. When liquidity…

  • Why Correlations Rise During Market Crashes—and Diversification Can Fail

    Diversification is supposed to reduce risk. But during severe market selloffs, something uncomfortable can happen: assets that normally move differently can suddenly start falling together. This is known as correlation convergence. It helps explain why a portfolio that looks diversified in normal markets can experience much larger losses during a crisis. Educational research only. This…