Navigating the Noise: Rethinking the Foundations of Modern Teamwork
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Jim Cramer on Domino's: 'I Thought This Was a Good Quarter'
Domino's Pizza, Inc. (NASDAQ:DPZ) is one of the stocks that Jim Cramer looked at. Cramer mentioned the stock during the episode and suggested that a stock split could be good for the company. He said: 'Sometimes a company reports, and Wall Street can't seem to decide whether to send the stock in question higher or lower. That's exactly what we saw yesterday morning when we got results from… Domino's Pizza… and the market's initial reaction was overwhelmingly positive… Throughout the session, Domino's flipped through positive, negative, positive, before ultimately closing lower by less than 1%. Then today it rallied… Okay, I thought this was a good quarter… Jonathan Weiss/ Domino's (NASDAQ:DPZ) operates and franchises stores, providing pizzas and a variety of food and beverage items under the Domino's brand through a global supply and delivery network. While we acknowledge the potential of DPZ as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock. READ NEXT: 30 Stocks That Should Double in 3 Years and 11 Hidden AI Stocks to Buy Right Now. Disclosure: None. This article is originally published at Insider Monkey. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
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What Makes Kimberly-Clark (KMB) a Safe Haven in a Turbulent Dividend Market?
Kimberly-Clark Corporation (NASDAQ:KMB) is included among the 10 Oversold Dividend Stocks to Buy According to Hedge Funds. A stack of disposable diapers in the foreground with a mother and her baby in the background. In June, the company announced a strategic partnership with Suzano S.A. to establish a global tissue and professional products company. This move is viewed as a way for Kimberly-Clark to sharpen its focus on higher-growth, higher-margin segments. By combining their strengths and infrastructure, the two companies aim to lower overall product delivery costs and provide both branded and private label solutions across various markets, ultimately benefiting both consumers and customers. In the first quarter of 2025, Kimberly-Clark Corporation (NASDAQ:KMB) maintained a healthy cash position, generating $327 million in operating cash flow, while capital expenditures reached $204 million. The company remained committed to rewarding shareholders, returning $466 million through dividends and share repurchases. Quarterly revenue stood at $4.84 billion, reflecting a 6% decline compared to the same period the previous year. Kimberly-Clark Corporation (NASDAQ:KMB) is a Dividend King with 53 consecutive years of dividend growth under its belt. The company offers a quarterly dividend of $1.26 per share and has a dividend yield of 3.97%, as of July 25. Kimberly-Clark Corporation (NASDAQ:KMB) is known for offering a broad range of everyday household products, including diapers, tissues, and feminine care items. Its portfolio features several popular brands such as Huggies, Kleenex, and Cottonelle. While we acknowledge the potential of KMB as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock. READ NEXT: and Disclosure: None. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Forbes
13 minutes ago
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The Current Stupid CEO Flex: Everybody's Replaceable (Including Them)
caucasian senior businessman - spooky portrait The Wall Street Journal had an interesting recent article about a change in the way executives talk about workers. What they think of as artificial intelligence has given them the confidence to say that everyone is replaceable. Wholesale elimination of jobs has been developing for at least the last decade — much longer if you consider the broader development of automation. Will new AI technologies enable even more job destruction? Certainly, but it will come at a cost and likely spread further than prudent and intelligent business strategies would allow. Possibly including their own jobs. The Myth Of Profit Maximization Chief executives typically look to improve the fortunes of a company and returns to shareholders. Many take to heart the argument Milton Friedman made in a 1970 New York Times op-ed that the 'social responsibility of business is to increase its profits.' That has been further interpreted as meaning the responsibility to maximize return on investment to shareholders. This is both legally incorrect and strategically troubling and mistaken. Experts in corporate governance have, across many years, tried to find a legal basis for the prescription. It has yet to appear. In the 2014 Supreme Court decision in 'Burwell, Secretary of Health and Huma Services, et. al. v. Hobby Lobby Stores,' the Court addressed whether a for-profit corporation could give money to religious causes. 'While it is certainly true that a central objective of for-profit corporations is to make money, modern corporate law does not require for-profit corporations to pursue profit at the expense of everything else, and many do not do so,' Justice Samuel Alito wrote for the Court.' Corporate law and governance also recognize that a company's board and executives have duties to the company. They are charged with strategy and operations for the company's benefit, with the shareholder's benefit being an offshoot. In basic calculus, math students learn that you cannot maximize for more than one variable at a time. That doesn't necessarily mean one factor cannot benefit while another does as well, but maximization mathematically means something has to come first. Everything becomes subject to that desire. Confusing People And Machines There is a peculiar attitude among executives, which has been around for a long time, that people are infinitely extensible. The signs come up with every wave of layoffs, and if you've ever been one of the people who survived a round of staff cuts, you have likely experienced this. Those left are expected to pick up and complete the extra work with neither additional pay nor schedule adjustments. Everything is supposed to be compressible. Employees are expected to contort themselves, making operations look as though they were normal. Forbes contributor Bryan Robinson discussed a study last year that noted 88% of layoff survivors experience burnout, and 25% suffer from mental and physical exhaustion. A developing and increasing trend is the desire to replace people with actual machines. Bring in not only the robots to do everything physical, but software to do everything mental. Chief executives want to make shareholders happy, which drives up share prices and the CEO's own holdings. Replace people with mechanisms to drive labor costs down and profits up. Ten years ago, I wrote about how automation was already coming for white collar jobs, including professional ones. A study at the same time said 'highly creative' professionals would remain safe. That didn't last long. When all work becomes something to be done by mechanisms — robots, artificial intelligence, or people — human needs become unimportant. Ultimately, there is only the need to cut costs, to increase profits. Three Rising Risks The decisions may seem obvious to the MBA crowd, but they bring three risks to business. One is the loss of institutional knowledge. It is people who hold the understanding of how processes work, the things a company needs to know about its customers. Again, this has been known for many decades. Lose people and you lose understanding. In theory, a company could use technology to capture and store much of this, but they don't tend to. Next is the risk of mediocrity, which is particularly true of large language model software that works on complex statistical algorithms. These products don't think. Instead, they're trained on vast examples of how words connect and then respond accordingly. What seems like intelligence is clever repetition, in a way. This brings up average responses. Furthermore, increasingly repeating what others have done undercuts creativity and innovation. The third and biggest risk is the undermining of the jobs and incomes of a growing portion of the populace. What happens when fewer and fewer people can make a good living? Who's going to buy all the products and services that companies need to sell to make their growing profits?
