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Search resuls for: "Ted Mortonson"


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I probably do not have to tell you that Nvidia has really blown up over the past few years. "If people were going to be going crazy about a stock, wouldn't it be this one?" Jack, a moderator of a subreddit dedicated to Nvidia's stock, finds some of the memes around Nvidia irksome. He said ChatGPT's capabilities reinforced his belief in his thesis around Nvidia and AI. I'm not a Nvidia true believer, but I'm apparently Nvidia curious.
Persons: Jensen Huang, Angelo Zino, Jim Cramer, Josh Brown, fanboys, Kamala Harris, I'm, Dan Ives, Huang, Daniel Williams, Williams, David, Goliath, Christopher Schwarz, that's, Axios, Felix Salmon, he's, Jack can't, It's, Berkshire Hathaway, Warren Buffett, Buffett, There's, Schwarz, Brown, Ted Mortonson, Baird, They've, cooly, they're, Mortonson, Ives, Elvis, Zack Morris, Taylor Swift, Chappell Roan, Emily Stewart Organizations: Nvidia, Wall Street, Woodstock, CFRA Research, CNBC, Ritholtz Wealth Management, Elon, NFL, Democratic, People, Wedbush Securities, Lebron, Davids, University of California, Paul Merage School of Business, Nvidia irksome, GameStop, GameStop —, Cisco, Department, Justice, ChatGPT, Business Locations: New York City, New York, Jack, Maine, Omaha , Nebraska,
Depreciation costs could lead to AI stock price declines and valuation scrutiny, according to Baird's Ted Mortonson. AdvertisementThe lurking problem is that the useful lifetime of AI GPU chips can be a lot shorter than many expect, especially as AI chips go through an ever-accelerating innovation cycle, leading to higher-than-expected depreciation expenses that ultimately drag down profits. For example, the bank expects Alphabet to record $28 billion in depreciation costs in 2026, which is 24% more than current consensus estimates of $22.6 billion. AdvertisementBut even that has its limits because of how quickly Nvidia is releasing new GPU chips. And for Mortonson, it all comes back to the return on invested AI capital.
Persons: Ted Mortonson, , doesn't, outlays, Ross Sandler, Baird, Morton, Sandler, Mortonson, there's Organizations: Barclays, Service, Companies, Nvidia, Business
The Roundhill Magnificent Seven ETF (MAGS) currently sits 11% off its highs. MAGS YTD mountain Magnificent Seven ETF performance This backdrop sets the tone for a "make or break week" coinciding with the Federal Reserve's July rate decision Wednesday, according to Wolfe Research's Chris Senyek. Now, more than 18 months after the launch of groundbreaking ChatGPT, Wall Street wants results. Some Wall Street analysts believe strong quarterly results may not be enough to reverse the pullback in tech shares. "My gut is that the tech earnings are going to come in better than people expect."
Persons: Morgan, Roundhill, Wolfe, Chris Senyek, Jay Woods, Sundar Pichai, Deutsche Bank's David Folkerts, Baird's Ted Mortonson, Senyek, Rowe Price, Dominic Rizzo, CNBC's Organizations: Nasdaq, Federal, Microsoft, Meta, Apple, Freedom Capital, Deutsche, Tech, Fed, Trump
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
The artificial intelligence boom is straining America's power grid. All three trends have sparked ongoing concerns about the power-hungry nature of new technologies as they push America's shaky power grid to the limit. And with hundreds of millions of users already interacting with AI tools like ChatGPT, the power demand for AI technologies is only set to rise. Bank of America put into perspective the challenges faced by the power grid as it grapples with surging demand from AI data centers. AdvertisementSome eye-opening stats about the US power grid cited by Bank of America include:"The US grid produces 1,250 gigawatts (GW) of electricity from 9,200 generating units.
Persons: Baird, Ted Mortonson, , Mortonson, Goldman Sachs Organizations: Service, Bank of America, Oracle, Wall Street Journal, Constellation Energy, Xcel Energy, NextEra, Southern Co Locations: Michigan, Pennsylvania, East, NextEra Energy
Some of the main winners of the AI boom will be stocks currently sliding under the radar. Across the road, ground has been broken on another data center. This specifically means data centers, which will be increasingly key for storing information as AI becomes more mainstream. On a single-stock basis, Digital Realty Trust — the only data center real estate investment trust listed on the New York Stock Exchange — has jumped 38% over the last year, while the Global X Data Center & Digital Infrastructure ETF has climbed 12%. Mortonson says it's difficult for software companies to build around AI.
Persons: , Ted Mortonson, Baird, we're, Goldman Sachs, hasn't, That's, Travis Miller, Miller, Mortonson, There's Organizations: Nvidia, Service, Goldman, Digital Realty Trust, New York Stock Exchange, X Data, Digital Infrastructure ETF, Bank of America, JPMorgan, Morningstar, Business, Software, Utilities Locations: US, Korea, India, Europe
Software stocks have been slammed this year after a long period of strong performance. Meanwhile, hardware stocks are reaping the benefits of the AI boom as their profits soar. AdvertisementYear-to-date, hardware tech stocks are outperforming software tech stocks by a whopping 30 percentage points. AdvertisementThis dynamic means that hardware stocks will continue to outperform software stocks through 2025, according to Mortonson. "The moats that some of the software companies, not all but some, have around their businesses are not going to be quite as high.
Persons: Ted Mortonson, , Baird, Mortonson, It's, Larry Tentarelli, Chip, Steve Eisman, Eisman Organizations: Service, Software, NYSE Arca, Dow Jones US Software, Nvidia, AMD, Micro Computer, Broadcom, Dell, Chip Daily, CNBC Locations: Salesforce, Snowflake
It may seem counterintuitive for Wall Street to reward companies for letting people go. After all, layoffs are usually thought to be a sign that the business isn’t doing so hot. And while a lot of the layoff talk is concentrated in tech, investors were also quite pleased about job cuts at Estée Lauder . Many companies took an aggressive approach to hiring during the pandemic, particularly tech companies whose engagement boomed while everyone was stuck at home. The tech companies developing AI products are the best positioned to try them out.
Persons: Estée Lauder, , Scott Kessler, Goldman Sachs, Sameer Samana, moonshot, Ted Mortonson, Baird, Kessler, ” Mortonson, hasn’t, Emily Stewart Organizations: Bloomberg, Third, Companies, Wells, Investment Institute, Business Locations: Samana
"As we move to cloud and generative AI, it opens up massive total addressable markets, where security just has to be done a different way." Palo Alto Networks and CrowdStrike have already surged more than 25% each only six weeks into the new year after proving among the best performers in the Nasdaq-100 in 2023. But arguably, companies offering all-in-one solutions to mounting cybersecurity threats are viewed as sitting in the most advantageous position. PANW YTD mountain Palo Alto Networks in 2024. This leading position is one reason Deepwater Asset Management's Doug Clinton retains a stake in Crowdstrike, along with Palo Alto Networks, in the core fund that he manages.
Persons: Ted Mortonson, Baird, Mortonson, Peter Weed, Bernstein, Morgan Stanley, Hamza Fodderwala, Hendi Susanto, Doug Clinton, JPMorgan's Brian Essex, CRWD, Essex, Michael Bloom Organizations: MGM Resorts, Caesars Entertainment, Microsoft, Palo Alto Networks, Nasdaq, Gamco Locations: cyberattacks, Palo, Crowdstrike
Last week I asked you all a question in the newsletter — Do you own Nvidia stock? One of you even told me you first bought the stock when Nvidia was $16(!) Nvidia is the clear winner in the AI arms race so far. A secretive hedge fund has likely notched a $5 billion gain on Nvidia stock this year. Shares of the company hovered near their biggest single-day spike ever, and the chipmaker credited AI for its upbeat quarterly outlook.
Nvidia stock has soared 165% in 2023 as investors wake up to the potential of artificial intelligence. Nvidia appears best positioned for AI growth as companies rely on its high-tech GPUs to power chatbots like ChatGPT and Bard. The stock is up 165% so far in 2023, and some analysts think there's still plenty of room for growth. "They have the entire AI silicon stack. They own over 95% of market share of the GPU market within the data center space," Zino said.
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.
Some investors question whether these arrangements are artificially juicing cloud revenue growth. When Microsoft announced a multibillion-dollar investment in OpenAI earlier this year, the deal made Azure the ChatGPT-maker's "exclusive cloud provider." There's another deal in the works with similar attributes involving Runway AI and a major cloud company. But they are drawing more scrutiny lately because they could artificially inflate cloud revenue, a key driver of growth for Microsoft, Google, and Amazon, according to Ted Mortonson, managing director of financial-services firm Baird. Is OpenAI a regular cloud customer that is getting no investment money from Microsoft?
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.
Tuesday's selloff in Chegg shares exposed some investors to the dark side of artificial intelligence, igniting concerns about how the latest technology craze may be putting some companies' revenue sources in danger. CHGG 1D mountain Chegg shares plummet on AI risks While Chegg may be the first shoe to drop, it's certainly not the last company set to showcase some of the risks posed by AI. Elsewhere, Deepwater Asset Management's Gene Munster sees potential risks ahead to some consulting companies known to outsource work for other businesses. Companies operating off of seat-based models, such as human resources companies, may face headwinds from declining headcount, but could benefit long term from optimizing AI, he added. To be sure, even the largest companies dominating the space and poised to prosper from AI face risks ahead.
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