Jim Cramer spent his July 6, 2026 Stop Trading segment pointing away from the obvious AI trade.
As International Business Machines Corp. (NYSE: IBM) stock price retests a crucial multi-month resistance level, Wamsi Mohan, a Wall Street analyst from Bank of America Corporation (NYSE: BAC), reiterated his 12-month bullish sentiment.
Zacks.com users have recently been watching IBM (IBM) quite a bit. Thus, it is worth knowing the facts that could determine the stock's prospects.
IBM lags its industry amid Anthropic's COBOL modernization threat, but hybrid cloud, AI demand and rising estimates may support growth.
IBM (IBM) has an impressive earnings surprise history and currently possesses the right combination of the two key ingredients for a likely beat in its next quarterly report.
IBM (IBM) closed at $277.8 in the latest trading session, marking a +2.27% move from the prior day.
IBM (NYSE:IBM | IBM Price Prediction) has quietly become a cash-generating utility for corporate AI orchestration, sitting on a $255.3 billion market cap with a $12.5 billion generative AI book of business.
International Graphite Ltd (ASX:IG6, FRA:H99, OTC:IGRPF) has taken a major step toward building its downstream graphite processing hub in Western Australia,...
International Business Machines Corp (NYSE:IBM) unveiled new semiconductor technology featuring a sub-1 nanometer chip architecture, which Wedbush analysts see as a significant step in chip scaling as demand for artificial intelligence computing continues to grow. IBM said the sub-1 nm design incorporates approximately 100 billion transistors on a chip roughly the size of a fingernail, which the analysts noted is about twice the density of the company's current 2 nm technology.
The semiconductor industry has spent the last decade racing toward a physical wall.
IBM debuts the first sub-1 nanometer chip, marking a step forward in the race to make AI chips smaller and more efficient.
IBM on Thursday unveiled what it said was the world's first technology capable of producing chips smaller than one nanometer, as tech companies race to build semiconductors that can handle increasingly demanding AI workloads.