At WSJ Journal House Davos, OpenAI Chief Product Officer Kevin Weil outlines ChatGPT’s 2025 roadmap—including a new model and AI agent features that can take actions on your behalf—while predicting the future of computing power,
NVIDIA falls 14% in premarket trading
A Chinese artificial-intelligence company has Silicon Valley raving, calling it "amazing and impressive,"despite working with less-advanced chips.
OpenAI, as you likely know, is one of tech’s biggest unicorns. A group of entrepreneurs and researchers, including Elon Musk and the company’s current CEO Sam Altman, founded the artificial intelligence company in 2015.
Microsoft (NASDAQ: MSFT) is a mega-cap stock that I think doesn’t get as much credit as it should. This company has basically kickstarted the AI wave with its early investments into OpenAI. Not only that,
Allurion stock soars on weight-loss therapy update. Stardust Power breaks ground on Oklahoma lithium refinery. OpenAI launches shopping agent Operator; Etsy, eBay tick higher.
GE Aerospace posts strong Q3 results, announces $7B stock buyback; shares soar. American Airlines expects a significant Q4 loss; EA cuts 2025 net bookings guidance.
Pressure is piling on the European Union to cut back its sustainability agenda, Wall Street may thwart President Donald Trump’s call for a new oil boom, and the US president unleashes retaliatory tariffs against Colombia. Plus, Microsoft’s stake in OpenAI is complicating the start-up’s path to become a for-profit company.
Microsoft is set to report fiscal second-quarter earnings after the market closes Wednesday, with analysts largely bullish despite what Morgan Stanley called a growing “wall of worry."
Investors say the latest AI model released by China’s equivalent to OpenAI has the potential to disrupt the United States’ grip on generative AI technology.
Other analysts seem to agree. Out of 58 analysts that cover the stock on Wall Street, 39 rate it a "buy" and 14 rate it a "strong buy," according to Yahoo! Finance. The software giant is preparing to spend $80 billion on data centers specifically for training, deploying, and operating cloud-based AI applications.