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☆ Semiconductor stocks just capped off a strong start to 2024. What to expect in the second half
▼ + stars: | 2024-07-05 | by ( Samantha Subin | ) www.cnbc.com time to read: +6 min

Wall Street is sticking with semiconductor stocks after its hot start to the year. SMH YTD mountain Share performance in 2024 That said, many investors and analysts expect another strong glide path for the industry in the second half. "The AI theme continues to remain very strong," said CFRA Research analyst Angelo Zino, who holds a buy rating on Nvidia. Many on Wall Street view this upcycle as a significant tail wind for Micron Technology as the industry edges out of its trough. But many on Wall Street viewed the sell-off as a buying opportunity , with Goldman Sachs analyst Toshiya Hari expecting market share gains in high-bandwidth memory.

Persons: frothiness, Angelo Zino, you've, Ken Mahoney, John Belton, we're, Management's Paul Meeks, that's, Harlan Sur, Baird, Ted Mortonson, Jeff deGraaf, CNBC's, Gabelli's Belton, Belton, Meeks, Goldman Sachs, Toshiya Hari, Hari, CFRA, Zino, Baird's Mortonson Organizations: VanEck Semiconductor, Nvidia, Devices, CFRA, Gabelli Funds, Broadcom, JPMorgan, KLA Corp, Cadence Design Systems, Micron Technology, Micron, Qualcomm, Apple Locations: unchartered

☆ Uber's AI potential is making it stand out among its peers. Here's what that could mean for its stock.
▼ + stars: | 2023-05-19 | by ( Michelle Fox | ) www.cnbc.com time to read: +11 min

All told, there is a nearly $6 trillion in revenue opportunity from AI across the internet industry, a March report from Morgan Stanley found. "UBER/LYFT/DASH already use ML [machine learning] in their matching algorithms (matching rides/eaters with drivers/couriers)," Morgan Stanley wrote in its report. AI tailwind for Uber Uber has both its ride-sharing service and UberEats food delivery business. According to Morgan Stanley, AI and machine learning will be a tailwind to network efficiency. "The extent to which AI drives substantial improvements in top-line growth could lead to teens upside [for the stock]," Morgan Stanley said.

Researchers have also sought to quantify fairness and bias in AI models through various socio-ethnic parameters. For example, Stanford University's artificial intelligence index report scores for bias across AI models. It found a "counterintuitive" correlation between fairness and bias: models that scored better on fairness metrics demonstrated stronger gender bias, and less gender-biased models were more toxic. Driving AI technology advancements — being a "key player or enabler across the AI ecosystem to make businesses and society better." Some investors believe AI itself can help investors monitor and track ESG efforts by companies.

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