NVIDIA's massive buybacks, dividend hike and booming AI growth put Nvidia-heavy ETFs like SMH, XLK, QQQ and SOXX in focus.
Another huge beat from AI bellwether Nvidia. Another big shrug on Wall Street.
The chip maker is paving its way into a potential $200 billion market for central processing units.
The first wave of the artificial intelligence (AI) boom created unprecedented wealth, catapulting a select few mega-cap tech stocks into the stratosphere. Now, the second act is beginning.
NVIDIA (NASDAQ:NVDA | NVDA Price Prediction) just delivered one of the most consequential quarters in semiconductor history, and the stock is responding.
NVDA tops Q1'27 estimates as Blackwell ramps up and Data Center revenues jump 92%, with Q2 guidance calling for $91B sales.
Nvidia (NVDA) delivered another blockbuster earnings report, but investors appeared unimpressed as the stock struggled to rally. Shares fell around 1.9% on Thursday morning, with the stock slipping to around $219.62 in early trading.
NVDA topped Q1 fiscal 2027 estimates, boosted guidance, and expanded AI ambitions beyond GPUs with its new Vera Rubin AI superchip.
Nvidia CEO Jensen Huang says China's Huawei is flourishing in America's absence and now exports its technology worldwide, competing with U.S. companies globally.
Investors and traders anticipating NVIDIA's NASDAQ: NVDA earnings report, hoping for a post-release price decline, may be disappointed. Not only were the results aligned with the robust trend, which is acceleration, but the market rarely does what's expected when everybody expects the move.
Things were getting quite a bit volatile for tech to start the week. And while Wednesday's session gave relief to tech-heavy investors, it's hard to tell which direction the tech sector and some of the most overheated names in AI (look no further than those red-hot semi plays) will head next as Nvidia (NASDAQ:NVDA | NVDA Price Prediction) sets the tone following its quarterly earnings result.
Nvidia Corporation leverages internal AI-driven design automation, compounding structural advantages in cost, speed, and chip quality. AI tools like ChipNeMo, PrefixRL, and NVCell have dramatically reduced chip design cycles, boosting productivity and compressing time-to-market. NVDA's revenue per employee soared from $1M in calendar 2022 to $5M in calendar 2025.