Nvidia generated $96.6 billion in free cash flow last fiscal year on a 55.6% net margin, more than double Applied Materials' 24.7%.

Some of the most popular semiconductor stocks are the company's building GPUs and memory solutions for artificial intelligence (AI). Nvidia, Micron, and many other AI chip designers actually outsource their manufacturing needs.

In another fast-paced week in tech, these developments underscore how foundational infrastructure, robust security, and massive capital commitments continue to drive the global AI expansion.

TSMC (TSM) is at a 52-week high, but can investors hope for more gains in the future? We take a look at the company's fundamentals for clues.

Zacks.com users have recently been watching TSMC (TSM) quite a bit. Thus, it is worth knowing the facts that could determine the stock's prospects.

Taiwan Semiconductor Manufacturing Company remains a "Buy" as operational execution, 2nm ramp, and record revenues drive continued outperformance and sector leadership. Q3 revenue is set to exceed guidance, with Q4 and 2026 outlooks supported by robust AI demand and accelerated 2nm adoption. Margin dilution from the early 2nm ramp is expected short-term, but long-term earnings power is enhanced by rapid capacity expansion and dominant foundry share.

Alphabet nears $1B nuclear deal, TSMC hits a record, Nvidia nears $6T, and more

Central Pacific Bank Trust Division raised its position in Taiwan Semiconductor Manufacturing Company Ltd. (NYSE: TSM) by 31.2% in the undefined quarter, according to the company in its most recent filing with the Securities and Exchange Commission. The institutional investor owned 9,815 shares of the semiconductor company's stock after acquiring an additional 2,336

After a significant slowdown in its September rally relative to the August rise, SpaceX (NASDAQ: SPCX) stock price shot up, and the equity is, in just five days, up another 15.55% to $171.09.

TSMC is a good AI stock to own, as it's practically guaranteed to succeed. TSMC's growth just isn't as fast as some others in the AI industry.