206 AI-extracted insights from 26 sources — podcasts, YouTube channels, and X/Twitter accounts.
Showing insights 201–206 of 206.
Mentioned in a list of competitors to Nvidia in the AI chip market, without further specific commentary on its position or strategy.
The stock is weak and in a 'transition mode.' The advice is to 'wait on this' and not try to catch a falling knife, especially with risk of tax-loss harvesting pressure.
Very bearish as the stock crashed nearly 19% after missing estimates and providing a flat forecast, suggesting it is failing to capitalize on the AI boom as much as competitors.
Despite a sharp drop due to 'choppy' revenue, the sell-off is viewed by some as a long-term buying opportunity for the custom AI chip trend.
Stock fell sharply by 8-13% after a slight revenue miss and weak Q3 guidance, compounded by concerns over China exposure and potential market share loss to competitors.
Described as having one of the 'best charts in the market' and being a successful turnaround story, shifting from 5G to high-growth areas like Enterprise Data Center and automotive AI.
Mentioned in a list of competitors to Nvidia in the AI chip market, without further specific commentary on its position or strategy.
The stock is weak and in a 'transition mode.' The advice is to 'wait on this' and not try to catch a falling knife, especially with risk of tax-loss harvesting pressure.
Very bearish as the stock crashed nearly 19% after missing estimates and providing a flat forecast, suggesting it is failing to capitalize on the AI boom as much as competitors.
Despite a sharp drop due to 'choppy' revenue, the sell-off is viewed by some as a long-term buying opportunity for the custom AI chip trend.
Stock fell sharply by 8-13% after a slight revenue miss and weak Q3 guidance, compounded by concerns over China exposure and potential market share loss to competitors.
Described as having one of the 'best charts in the market' and being a successful turnaround story, shifting from 5G to high-growth areas like Enterprise Data Center and automotive AI.