This top trader is eyeing two hot growth stocks as the bull market shows similarities to the dot-com run-up in the late 90s...

A few months ago, Google's NotebookLM note-taking app debuted an Audio Overviews feature that generates a podcast with AI virtual hosts based on information you have shared with the app. Now NotebookLM is rolling out the ability for users to interact with the AI podcast hosts. The idea behind Audio Overviews and the AI hosts is to give users a new way to digest and comprehend the information in the documents they have uploaded to the app, such as course readings or legal briefs. With this new fe...

Shares of search giant Alphabet (NASDAQ: GOOG) (NASDAQ: GOOGL) rallied this week, up as much as 10.1% on Thursday before retreating to 9.2% gain on the week as of 1 p.m. ET Friday, according to data from S&P Global Market Intelligence. On Monday, Alphabet published a blog post about the company's new quantum computing chip named Willow. According to Alphabet, the new chip was able to perform a calculation in five minutes that would take today's fastest supercomputers more time than the universe has been in existence...

The initiative marks Google's re-entry into the mixed-reality space...

Quantum computing stocks are in focus after Google unveiled its new quantum computing chip, Willow, which contributed to Alphabet stock's recent gains. D-Wave (QBTS), a quantum computing company, announced it secured $175 million in funding. CEO Alan Baratz joins Catalysts Co-Hosts Seana Smith and Madison Mills to break down what's going on in the quantum computing space and what investors need to know about its connection to artificial intelligence (AI). "There's a lot of synergy between AI and quantum," Baratz says, adding, "The way I think about it is that there are three areas in which AI and quantum work together." "The first and most obvious is that each can work side by side to solve a problem synergistically. For example, you might use AI to predict product demand in the future and then use quantum computing to optimize the supply chain to meet that demand." "Second, we are doing a fair amount of work right now on how quantum computing could be used as part of the model training and inference for AI." The CEO explains, "Because of the fact that [quantum is] so much faster than classical [computing] and requires so much less power, we think that we may be able to support model training and inference with much lower power consumption than what's happening today, which could be a game-changer." "Finally, models on quantum distributions rather than classical distributions may allow for more accurate [AI] models." To watch more expert insights and analysis on the latest market action, check out more Catalysts here. This post was written by Naomi Buchanan...

The list reflects a bet that value-oriented investing isn’t completely dead—and that the Magnificent Seven will be less dominant next year...