TSMC Bets $100B More on Arizona Even as Its Earnings Spook Markets

Taiwan Semiconductor Manufacturing Co., the world's largest contract chipmaker, delivered a split-screen day: booming profits, a giant new bet on America, and a stock market that sold off anyway.

According to TSMC's own release, the company reported second-quarter earnings per share of NT$27.25. CNBC, cited via BBC's coverage, reported that quarterly profit soared 77%, driven by surging demand for the chips that power artificial intelligence.

At the same time, TSMC Chairman and CEO C.C. Wei announced an additional $100 billion investment to expand US chip production, centered on its Arizona operations. The BBC and AP News both reported the Arizona pledge, and the City of Phoenix confirmed it. According to TradingView, the move lifts TSMC's total planned US investment to $265 billion.

Investors, however, focused on the fine print. According to Reuters-style market reporting from TradingView and others, the earnings and heavy capital-spending plans spurred concerns about AI-related costs. The S&P 500, Nasdaq and Dow all closed lower, with one outlet noting the Dow fell 105 points and the Philadelphia Semiconductor Index plunged 531 points. CNBC reported that SoftBank sank 8% as the sell-off in US chip shares spread across Asia, after TSMC's outlook "failed to reassure investors."

The reaction was less about weak results than sky-high expectations. As finance.biggo.com framed it, TSMC and equipment maker ASML dipped despite blowout earnings. Adding to the gloom, an MSN report noted Alphabet dropped 4.4%, erasing $200 billion in market value, after Bloomberg reported Google is behind schedule on its Gemini 3.5 Pro model.

Analysts also flagged that TSMC, per simplywall.st, is eyeing price hikes on mature-node chips. The Motley Fool called the update "fantastic news" for Nvidia shareholders, since TSMC manufactures Nvidia's GPUs.

Why it matters: TSMC sits at the center of the AI economy, so its spending plans and the market's jittery response signal both how much money is flowing into AI infrastructure and how nervous investors have become about whether the payoff justifies the price.