The company’s never made sustained profits. Its audience is much smaller than Facebook or Instagram (both owned by Meta), YouTube (which is part of Google) or TikTok (owned by China’s ByteDance). It’s not even as big as Snapchat in terms of daily users.
Elon Musk knows this. He’s a canny businessperson who can read an earnings report.
So any chatter about Musk’s plans to revamp Twitter and turn it into a better business misses the mark. It doesn’t really matter if the math adds up for his new plan to charge $8 a month for verification or Twitter Blue or whatever it ends up being called.
Whether he cuts 25% or 50% or 75% of the staff and how much money he saves from doing so isn’t that important. Creating some super-app that imitates China’s WeChat in combining commerce and content — which, by the way, would pose interesting challenges on a service that allows anonymity and fake names — isn’t really the point, either.
Yes, running the business efficiently and improving cashflow will matter for the platform’s continued existence, especially now that Twitter has a $13 billion debt load to service. But like Mark Zuckerberg said in 2012 about Facebook, making money is a means to an end, not the end in itself. Musk’s net worth exceeds $200 billion. He’s going to be fine.
The real power of Twitter is its influence.
Musk frequently boasts that Tesla doesn’t spend on traditional advertising. Twitter, which he uses to communicate directly to his more than 100 million followers, is a big reason why.
Musk also got in hot water with the SEC for tweeting in 2018 that he had “funding secured” to take the car company private at $420 a share. The regulator charged Musk with fraud, and the two sides eventually settled, with the Tesla CEO required to have some future tweets first reviewed by a “Twitter sitter.”
As the owner of Twitter, Musk now controls a platform that has mounds of data about the connections among its users, their interactions, their interests and so on. Just imagine the information available about Tesla’s automotive competitors — how much they’re spending on advertising, which keywords and demographics they’re targeting, how they engage with customers and fans, how they receive and resolve customer service complaints and so on.
Most important, by owning Twitter, Musk expands his reach far beyond his own fanbase. He’ll be able to set principles that influence the entire flow of information through the platform.
Musk has hinted at this in his statements about Twitter as a bastion of free speech.
In April, when he first disclosed his investment in the company, Musk wrote to then-Chairman Bret Taylor, “I invested in Twitter as I believe in its potential to be the platform for free speech around the globe, and I believe free speech is a societal imperative for a functioning democracy.”
More recently, when pledging to advertisers that Twitter would not become a “free-for-all hellscape,” Musk explained, “The reason I acquired Twitter is because it is important to the future of civilization to have a common digital town square, where a wide range of beliefs can be debated in a healthy manner, without resorting to violence.”
Of course, Musk subsequently tried to terminate his purchase agreement before eventually relenting and avoiding a high-profile court battle.
As for free speech, it’s complicated. Every platform and media company constantly has to make choices about what to allow and what to discourage — depictions of illegal activity, hate speech, harassment, porn, lies, tasteless jokes and so on. No platform gets it right every time. Users and advertisers complain, the platforms adjust, and the cycle continues.
But so far, Musk seems to equate “free speech” on Twitter with “looser moderation.”
During his first weekend owning the service, Musk responded to Hillary Clinton by tweeting an unfounded, anti-LGBTQ conspiracy theory about the attack on House Speaker Nancy Pelosi’s husband. He then deleted it.
Also over the weekend, Twitter reportedly restored the suspended account of Arizona Republican secretary of state candidate Mark Finchem, whom as a state legislator reportedly took steps to overturn the state’s vote for President Joe Biden in the 2020 election and who traveled to Washington D.C. for the Jan. 6 “Stop the Steal” rally. Finchem says he wasn’t part of the mob that stormed the capitol.
In the long run, looser moderation on Twitter blurs the lines between true and false. It becomes just another place where people can air competing views of objective reality and whip up mobs of agitators to promote or denigrate whatever facts or stories they don’t like. Everything becomes an equally weighted message, with the user left to decide what’s true. Marketing, journalism and propaganda would become indistinguishable.
In that world, the loudest messages with the most weight behind them are the ones that get heard. For a man running several major businesses and with strong opinions about regulation, legislation, unionization, and other matters, that’s a pretty attractive prospect even if Twitter, the business, never makes him a dime.
The logo of an Apple Store is seen reflected on the glass exterior of a Samsung flagship store in Shanghai, China Monday, Oct. 20, 2025.
Wang Gang | Feature China | Future Publishing | Getty Images
The cost of your smartphone might rise, analysts are warning, as the AI boom clogs up supply chains and a recent change by Nvidia to its products could make it worse.
AI data centers, on which tech giants globally are spending hundreds of billions of dollars, require chips from suppliers, like Nvidia, which relies on many different components and companies to create its coveted graphics processing units.
But other companies like AMD, the hyperscalers like Google and Microsoft, and other component suppliers all rely on this supply chain.
Many parts of the supply chain can’t keep up with demand, and it’s slowing down components that are critical for some of the world’s most popular consumer electronics. Those components are seeing huge spikes in prices, threatening price rises for the end product and could even lead to shortages of some devices.
“We see the rapid increase in demand for AI in data centers driving bottlenecks in many areas,” Peter Hanbury, partner in the technology practice at Bain & Company, told CNBC.
Where is the supply chain clogged?
One of the starkest assessments came from Alibaba CEO Eddie Wu, CEO of Chinese tech giant Alibaba.
Wu, whose company is building its own AI infrastructure and designs its own chips, said last week that there are shortages across semiconductor manufacturers, memory chips and storage devices like hard drives.
“There is a situation of undersupply,” Wu said, adding that the “supply side is going to be a relatively large bottleneck.” He added this could last two to three years.
Bain and Co.’s Hanbury said there are shortages of hard disk drives, or HDDs, which store data. HDDs are used in the data center. These are preferred by hyperscalers,: big companies like Microsoft and Google. But, with HDDs at capacity, these firms have shifted to using solid-state drives, or SSDs, another type of storage device.
However, these SSDs are key components for consumer electronics.
The other big focus is on a type of chip under the umbrella of memory called dynamic random-access memory or DRAM. Nvidia’s chips use high-bandwidth memory which is a type of chip that stacks multiple DRAM semiconductors.
Memory prices have surged as a result of the huge demand and lack of supply. Counterpoint Research said it expects memory prices to rise 30% in the fourth quarter of this year and another 20% in early 2026. Even small imbalances in supply and demand can have major knock on effects on memory pricing. And because of the demand for HBM and GPUs, chipmakers are prioritizing these over other types of semiconductors.
“DRAM is certainly a bottleneck as AI investments continue to feed the imbalance between demand and supply with HBM for AI being prioritized by chipmakers,” MS Hwang, research director at Counterpoint Research, told CNBC.
“Imbalances of 1-2% can trigger sharp price increases and we’re seeing that figure hitting 3% levels at the moment – this is very significant.”
Why are there issues?
Building up capacity in various areas of the semiconductor supply chain can be capital-intensive. And it’s an industry that’s known to be risk-averse and did not add the capacity necessary to meet the projections provided by key industry players, Bain & Co.’s Hanbur said.
“The direct cause of the shortage is the rapid increase in demand for data center chips,” Hanbury said.
“Basically, the suppliers worried the market was too optimistic and they did not want to overbuild very expensive capacity so they did not build to the estimates provided by their customers. Now, the suppliers need to add capacity quickly but as we know, it takes 2-3 years to add semiconductor manufacturing fabs.”
Nvidia at the center
A lot of attention is on Nvidia given it dominates when it comes to the chips that are being put into AI data centers.
It is a huge customer of high bandwidth memory, for example. And its products are manufactured by TSMC which also has other major customers like Apple.
But analysts are focused on a change Nvidia has made to its products that has the potential to add major pressure to consumer electronics supply chains. The U.S. giant is increasingly shifting toward using a type of memory in its products called Low-Power Double Data Rate (LPDDR). This is seen as more power efficient than the previous Double Data Rate, or DDR memory.
The problem is, Nvidia is increasingly using the latest generation of LPDDR memory, which is also used by high-end consumer electronics makers such as Samsung and Apple.
Typically, the industry would just be dealing with demand for this product from a handful of big electronics players. But now Nvidia, which has huge scale, is entering the mix.
“We also see a bigger risk on the horizon is with advanced memory as Nvidia’s recent pivot to LPDDR means they’re a customer on the scale of a major smartphone maker — a seismic shift for the supply chain which can’t easily absorb this scale of demand,” Hwang from Counterpoint Research said.
How AI boom is impacting consumer electronics
Here’s the link between all of this.
From chip manufacturers like TSMC, Intel and Samsung, there is only so much capacity. If there is huge demand for certain types of chips, then these companies will prioritize those, especially from their larger customers. That can lead to shortages of other types of semiconductors elsewhere.
Memory chips, in particular DRAM which has seen prices shoot up, is of particular concern because it’s used in so many devices from smartphones to laptops. And this could lead to price rises in the world’s favorite electronics.
DRAM and storage represent around 10% to 25% of the bill of materials for a typical PC or smartphone, according to Hanbury of Bain & Co. A price increase of 20% to 30% in these components would increase the total bill of materials costs by 5% to 10%.
“In terms of timing, the impact will likely start shortly as component costs are already increasing and likely accelerate into next year,” Hanbury said.
On top of this, there is now demand from players involved in AI data centers like Nvidia, for components that would have typically been used for consumer devices such as LPDDR which adds more demand to a supply constrained market.
If electronics firms can’t get their hands on the components needed for their devices because they’re in short supply or going toward AI data centers, then there could be shortages of the world’s most popular gadgets.
“Beyond the rise in cost there’s a second issue and that’s the inability to secure enough components, which constrains the production of electronic devices,” Counterpoint Research’s Hwang said.
What are tech firms saying?
A number of electronics companies have warned about the impact they are seeing from all of this.
Xiaomi, the third-biggest smartphone vendor globally, said it expects that consumers will see “a sizeable rise in product retail prices,” according to a Reuters reported this month.
Jeff Clark, chief operating officer at Dell, this month said the price rises of components is “unprecedented.”
“We have not seen costs move at the rate that we’ve seen,” Clark said on an earnings call, adding that the pressure is seen across various types of memory chips and storage hard drives.
The unintended consequences
The AI infrastructure players are using similar chips to those being used in consumer electronics. These are often some of the more advanced semiconductors on the market.
But there are legacy chips which are manufactured by the same companies that the AI market is relying on. As these manufacturers shift attention to serving their AI customers, there could be unintended consequences for other industries.
“For example, many other markets depend on the same underlying semiconductor manufacturing capabilities as the data center market” including automobiles, industrials and aerospace and defense, which “will likely see some impact from these price increases as well,” Hanbury said.
Samsung Electronics’s Galaxy Z TriFold media day at Samsung Gangnam in Seoul, South Korea, on Dec. 2, 2025.
Anadolu | Anadolu | Getty Images
Samsung Electronics on Monday announced the launch of its first multi-folding smartphone as it races to keep pace with innovations from fast-moving rivals.
The long-anticipated “Galaxy Z TriFold” will go on sale in South Korea on Dec. 12, with launches to follow in other markets including China, Taiwan, Singapore, and the United Arab Emirates, the company said in a press release.
The phone will be available in the U.S. during the first quarter of 2026, with more details to be shared later, the South Korean tech giant added. The Galaxy Z Trifold will ship as a single model in black with 16GB of memory and 512GB of storage, priced at 3,594,000 South Korean won ($2,449).
With Apple’s expected entry into the foldable segment, Samsung is positioning this device as a multi-fold pilot to reinforce its technology leadership.”
Liz Lee
Associate Director at Counterpoint Research
The device uses two inward-folding hinges to open into a 10-inch display — a tad smaller than the 11th-generation iPad’s 11-inch display — with a 2160 x 1584 resolution.
When its screen panels are folded, the device is measures 12.9 millimeters (0.5 inches) thick — slightly more than the Galaxy Z Fold6 at 12.1 mm and the latest Galaxy Z Fold7 at 8.9 mm.
“Samsung’s first tri-fold model will ship in very limited volume, but scale is not the objective,” Liz Lee, associate director at Counterpoint Research, said in a statement shared with CNBC.
“With competitive dynamics set to shift materially in 2026, especially with Apple’s expected entry into the foldable segment, Samsung is positioning this device as a multi-fold pilot to reinforce its technology leadership.”
A Samsung Electronics Co. Galaxy Z TriFold smartphone on display during a media preview in Seoul, South Korea, on Tuesday, Dec. 2, 2025.
Bloomberg | Bloomberg | Getty Images
Lee added that Samsung’s latest product is meant to test durability, hinge design and software performance while gathering real-world user insights before wider commercialization.
The phone’s three foldable panels can also run three apps vertically side by side, and offer a desktop-like mode without a separate display.
The TriFold features Samsung’s largest battery capacity among its foldable models and supports super-fast charging that reaches 50% in 30 minutes.
TM Roh, who was recently appointed Samsung Electronics co-CEO and head of the Device eXperience division, said the Galaxy Z TriFold reflects years of work on foldable designs and aims to balance portability, performance and productivity in one device.
Samsung was an early innovator of folding smartphones, unveiling its first foldable device in 2019. While the market has remained relatively small, new competitors have continued to enter, including Chinese brands that have proven competitive in both price and dimension.
Visitors try out the Galaxy Z Trifold during Samsung Electronics’ Galaxy Z TriFold media day at Samsung Gangnam in Seoul, South Korea, on Dec. 2, 2025.
Anadolu | Anadolu | Getty Images
In September, telecommunications giant Huawei announced its second-generation trifold phone for the Chinese market, measuring 12.8 mm thick when folded.
This year has also seen Chinese brands like Honor launch foldable smartphones in international markets. Honor was spun off from Huawei in 2020 in a bid to avoid U.S. sanctions and tap international markets.
Like Samsung’s other recent foldables, the TriFold is rated IP48, meaning it is water-resistant up to 1.5 meters for up to 30 minutes but offers limited dust protection.
In this year’s flurry of massive artificial intelligence deals – for which a couple of billion dollars is pocket change – Nvidia ‘s announcement on Monday of a $2 billion investment to expand its long-time partnership with Synopsys might seem just incremental. Not so, asserted Nvidia CEO Jensen Huang, in an interview with Jim Cramer shortly after the news broke. Jensen said, “This is a huge deal.” Here’s why: Synopsys provides software and tools that allow companies like Nvidia to design, test, and verify semiconductors. Jensen said, “Nvidia was built on a foundation of design tools from Synopsys,” among others. This deal allows Synopsys, which earlier this year completed its purchase of engineering simulation software maker Ansys, to leverage Nvidia’s AI platform to deliver computer-modeled design and engineering solutions across many industries. Nvidia’s powerful chips, called graphics processing units (GPUs), are the gold standard in AI. With Monday’s deal , Nvidia will be positioned to bring GPU-powered accelerated computing to the world’s industrial sector, which represents an addressable market measured in the tens of trillions of dollars. What makes that possible is that the AI we are talking about here obeys the laws of physics, meaning that it can be relied upon to show how things will really run in the real world. Synopsys CEO Sassine Ghazi, standing alongside Jensen, said that what we’re talking about here, in a practical sense, is taking a workload that may have taken two to three weeks and compressing that to a matter of hours. Even with the work of Synopsys and other electronic design automation (EDA) providers, Jensen said Nvidia still spends “billions of dollars in prototyping” products in the physical world. “In the future, we’re going to prototype all of these products digitally so that we don’t waste any money when we build it physically,” he explained. “We could do basically the entire engineering work inside a computer in a digital twin before we have to build it at all. So, the type of products we can invent and the quality that we could do, and the speed that we could do it at is going to be extraordinary.” Jensen said that industrial companies that make things, be it Nvidia, or GM , or Boeing , spend hundreds of millions, even low billions of dollars on engineering software tools. He noted, however, that the money spent on prototyping can be 10 times to 20 times that figure. The ability to prototype digitally, therefore, represents a massive opportunity for industrial companies to reduce costs. Jensen told Jim, “This is really the culmination of everything I showed you when you visited Nvidia years ago. It’s taken this long for us to create the software stack necessary for Synopsys and the rest of the EDA [electronic design automation] industry, in order for them to accelerate the software that they’ve historically only run on CPUs [central processing units].” He added, “All of a sudden, the market opportunity increases by a factor of 10 to 100.” Jim Cramer, who started recommending Nvidia stock in 2009, first interviewed Jensen a year later. The “Mad Money” host even renamed his dog “Nvidia” in 2017 to demonstrate his belief in the company. While first bought in Jim’s Charitable Trust in August 2017 and exited in October 2018, Nvidia stock has been a constant since we re-initiated it in March 2019. More recently, Jim hosted Jensen at the Investing Club’s October Monthly Meeting, where the CEO got to meet many early Nvidia investors who made lots of money on the stock. The Trust is the portfolio the Club uses. In Monday’s interview, Jim also pressed Jensen on recent concerns about whether the launch of Gemini 3, powered by Google’s custom chips, would encroach on Nvidia’s GPU business. Google’s own semiconductors, called tensor processing units, were co-designed by Broadcom . Jensen, who complimented Google on their chips, said, “What Nvidia does is much more versatile,” dismissing the concerns and bringing the conversation back to the potential of the Synopsys investment. “You’re now seeing a real, tangible example of an opportunity that we could do with our platform that nobody else can.” AI goes far beyond the chatbots and consumer-facing solutions that have garnered most of our attention – and contributed to the pressure on shares of Nvidia since the Gemini 3 launch. Jensen said that Monday’s announcement is about revolutionizing the industrial software industry, where the stakes are much higher. On the consumer side, an answer to a query that is 90% correct, or recommends an item, movie, or new music with 90% accuracy, is a pretty good start – but on the industrial side, “that 10% you don’t get right, becomes mission critical,” the CEO added. That’s also why the pace of advancement has been so much faster in consumer AI. However, as exciting as the consumer-oriented developments have been, it’s the industrial side that likely proves to be the real opportunity. While capital expenditures by the biggest tech companies in the world to support consumer AI has, thus far, been the real driver of AI investment and infrastructure spending, the industry is now getting to the point where we should see spending ramp up elsewhere, be it from automakers like Ford and GM, or even ship builders in Korea. Not only does that speak to more spending in the years to come, but also a diversification of the spending base, which should materially help to de-risk the customer base for companies like Nvidia that have in recent years seen so much of their demand come from a select few customers. Ultimately, the move marks a significant milestone for Nvidia and the AI trade more broadly as it lays the groundwork for a material expansion in industrial AI. As we see it, the deal is a strong move for both companies. Synopsys gets to better serve its customers, while Nvidia expands its own ecosystem and helps to lay the groundwork for even more GPU-based accelerated computing infrastructure. On a conference call hosted by both companies to discuss the deal, Jensen said, “Of all the AI opportunities – industrial AI, physical AI – is the largest of all. And the reason for that is very clear. The world’s industries represent the vast majority of $100 trillion industry today. That industry, whether you’re designing cars or trains or planes or designing computers, all of that largely is based on general purpose computing. … But in order for us to go even further, in order for us to do even more, expanding the reach of design and engineering so that we could do almost everything in the world inside a digital environment, long before we create the physical manifestation, that journey, we’ve been preparing for several years now, and today our announcement really kicks it into turbocharge.” Jensen wrapped up by noting that Synopsys is the company that has allowed Nvidia to design its own chips, since its founding, and that the deal announced Monday is going to “enable everyone to design everything that’s physically manifested in the future.” (Jim Cramer’s Charitable Trust is long NVDA, AVGO, BA. See here for a full list of the stocks.) As a subscriber to the CNBC Investing Club with Jim Cramer, you will receive a trade alert before Jim makes a trade. 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