The Democratic Nominee for a New Jersey Special Election Said Vanguard and State Street Have ‘Bought Politicians.’ She’s Invested in Both.

Analilia Mejia, who unexpectedly won the Democratic nomination for the April 16 special election in New Jersey’s 11th Congressional District this week, has assailed financial services corporations like Vanguard and State Street for having "bought politicians." Mejia and her husband are heavily invested in both, financial records show.

The post The Democratic Nominee for a New Jersey Special Election Said Vanguard and State Street Have ‘Bought Politicians.’ She’s Invested in Both. appeared first on .

Big Tech just got a whole lot bigger



When it comes to the best Big Tech brands, Apple, Google, and Microsoft usually top the list (though not always in that order). Below that, the rest usually jockey for position based on a range of product launches and economic factors. However, thanks to the AI boom of 2025, one brand in particular leapt up the charts, and it could clamber even higher if AI growth continues apace. To understand what caused the market shift, let’s look at the top five most valuable Big Tech brands of 2026.

If there were an award for most changed brand of the year, it would go straight to ...

Apple at $608 billion

As the first trillion-dollar company on the stock market, Apple regularly occupies the top spot, thanks to its multi-tiered business strategy that covers premium products, cloud services, and entertainment content. This year is no different with the Cupertino giant earning a valuation of $608 billion for 2026, a 6% increase from last year. Apple is expected to make waves with a stacked list of innovative new hardware in 2026, including the long-anticipated foldable iPhone and a more affordable (i.e., financially accessible) base model MacBook alongside multiple new MacBooks Pro, and it will enter the smart home category with a smart home hub that includes an integrated display.

Microsoft at $565 billion

Microsoft has spent several years in the second valuation slot, driven in part by the AI rush of the 2020s. As an early investor in OpenAI, Microsoft was one of the first brands that brought generative AI to market. Although Microsoft’s origin story is all about Windows, its business portfolio today covers a wide range of products and services, including its cloud platform Azure, office applications under Microsoft 365, AI endeavors built on the back of Copilot, and the gaming division under Microsoft Gaming and Xbox. All these together helped the brand grow 23% year over year, maintaining its spot on the chart.

RELATED: US officials tell Nvidia not to send top AI chips to China, prompting backlash

CFOTO/Future Publishing via Getty Images

Google at $433 billion

Also unchanged this year, Google maintains its third-place ranking due to its diverse portfolio driven largely by Google Cloud services, Google Ads, and revenue from Search. While these categories have long been value makers for Google’s brand, the company also built a robust AI platform known as Gemini. Last year, Google released Gemini 3, a generative AI solution so powerful that it made OpenAI sweat. This year, Google is partnering with Apple to build a custom version of Gemini 3 for Apple Intelligence in a deal worth $5 billion, further adding to Google’s 2026 valuation, which is 5% higher than last year.

Amazon at $370 billion

You know Amazon as the world's largest online retailer, but it also runs the most popular cloud service provider known as AWS. With a leading 30% market share over Google Cloud and Microsoft Azure, Amazon’s steady sales performance and cloud market dominance led to a valuation increase of 4% from last year, helping the e-commerce giant maintain its 4th place slot for the third year in a row.

Nvidia at $184 billion

If there were an award for most changed brand of the year, it would go straight to Nvidia.

As a recent newcomer to the top 10 most valuable tech brands in the world, GPU maker Nvidia blew the market away, jumping four spots from number nine to number five. With rapid growth exceeding 110% of its market value since 2025, Nvidia rode the AI wave to grand success. Today its high-powered GPUs are used in data centers to train and maintain the LLM models for the biggest generative AI companies on the planet, including OpenAI, Google, and Microsoft. Nvidia is also a strategic partner in President Trump’s Stargate AI initiative.

Nvidia’s meteoric leap up the charts highlights how important AI is for the brand, and it also shows that the company has a lot to lose if the AI bubble bursts. This may be why Nvidia’s CEO Jensen Huang is so adamant about pushing AI into society, adding AI agents into the workforce, and proclaiming AI as our digital manifest destiny.

What happens next?

This year marks the first time Nvidia has cracked the top five valuation list. Last year, it was barely in the top 10, and before that, it didn’t rank at all. Needless to say, the AI boom has been a huge boon to Nvidia’s business, catapulting it from a gaming GPU company to a vital AI hardware powerhouse. As for what will happen to the company next, that all depends on the future of AI itself.

If generative AI continues to expand throughout our apps, work, and daily life, Nvidia’s valuation will inevitably grow with it, potentially overtaking Amazon as it rises up the chart with ever-evolving hardware for the next block of data centers. Still there is a wide value gap between fifth and fourth place and an even greater gap between Nvidia at the bottom and Apple perched on top. It’s hard to believe that Nvidia will ever crack the big three tech brands that power the U.S. economy, much less overtake the top spot entirely, but it’s fun to watch it try.

Your laptop is about to become a casualty of the AI grift



Welcome to the techno-feudal state, where citizens are forced to underwrite unnecessary and harmful technology at the expense of the technology they actually need.

The economic story of 2025 is the government-driven build-out of hyperscale AI data centers — sold as innovation, justified as national strategy, and pursued in service of cloud-based chatbot slop and expanded surveillance. This build-out is consuming land, food, water, and energy at enormous scale. As Energy Secretary Chris Wright bluntly put it, “It takes massive amounts of electricity to generate intelligence. The more energy invested, the more intelligence produced.”

Shortages will hit consumers hard in the coming year.

That framing ignores what is being sacrificed — and distorted — in the process.

Beyond the destruction of rural communities and the strain placed on national energy capacity, government favoritism toward AI infrastructure is warping markets. Capital that once sustained the hardware and software ecosystem of the digital economy is being siphoned into subsidized “AI factories,” chasing artificial general intelligence instead of cheaper, more efficient investments in narrow AI.

Thanks to fiscal, monetary, tax, and regulatory favoritism, the result is free chatbot slop and an increasingly scarce, expensive supply of laptops, phones, and consumer hardware.

Subsidies break the market

For decades, consumer electronics stood as one of the greatest deflationary success stories in modern economics. Unlike health care or education — both heavily monopolized by government — the computer industry operated with relatively little distortion. From December 1997 to August 2015, the CPI for “personal computers and peripheral equipment” fell 96%. Over that same period, medical care, housing, and food costs rose between 80% and 200%.

That era is ending.

AI data centers are now crowding out consumer electronics. Major manufacturers such as Dell and Samsung are scaling back or discontinuing entire product lines because they can no longer secure components diverted to AI chip production.

Prices for phones and laptops are rising sharply. Jobs tied to consumer electronics — especially the remaining U.S.-based assembly operations — are being squeezed out in favor of data center hardware that benefits a narrow set of firms.

This is policy-driven distortion, not organic market evolution.

Through initiatives like Stargate and hundreds of billions in capital pushed toward data center expansion, the government has created incentives for companies to abandon consumer hardware in favor of AI infrastructure. The result is shortages that will hit consumers hard in the coming year.

Samsung, SK Hynix, and Micron are retooling factories to prioritize AI-grade silicon for data centers instead of personal devices. DRAM production is being routed almost entirely toward servers because it is far more profitable to leverage $40,000 AI chips than $500-$800 laptops. In the fourth quarter of 2025, contract prices for certain 16GB DDR5 chips rose nearly 300% as supply was diverted. Dell and Lenovo have already imposed 15%-30% price hikes on PCs, citing insatiable AI-sector demand.

The chip crunch

The situation is deteriorating quickly. DRAM inventory levels are down 80% year over year, with just three weeks of supply on hand — down from 9.5 weeks in July. SK Hynix expects shortages to persist through late 2027. Samsung has announced it is effectively out of inventory and has more than doubled DDR5 contract prices to roughly $19-$20 per unit. DDR5 is now standard across new consumer and commercial desktops and laptops, including Apple MacBooks.

Samsung has also signaled it may exit the SSD market altogether, deeming it insufficiently glamorous compared with subsidized data center investments. Nvidia has warned it may cut RTX 50 series production by up to 40%, a move that would drive up the cost of entry-level gaming systems.

Shrinkflation is next. Before the data center bubble, the market was approaching a baseline of 16GB of RAM and 1TB SSDs for entry-level laptops. As memory is diverted to enterprise customers, manufacturers will revert to 8GB systems with slower storage to keep prices under $999 — ironically rendering those machines incapable of running the very AI applications they’re working on.

Real innovation sidelined

The damage extends beyond prices. Research and development in conventional computing are already suffering. Investment in efficient CPUs, affordable networking equipment, edge computing, and quantum-adjacent technologies has slowed as capital and talent are pulled into AI accelerators.

This is precisely backward. Narrow AI — focused on real-world tasks like logistics, agriculture, port management, and manufacturing — is where genuine productivity gains lie. China understands this and is investing accordingly. The United States is not. Instead, firms like Roomba, which experimented with practical autonomy, are collapsing — only to be acquired by the Chinese!

This is not a free market. Between tax incentives, regulatory favoritism, land-use carve-outs, capital subsidies, and artificially suppressed interest rates, the government has created an arms race for a data center bubble China itself is not pursuing. Each round of monetary easing inflates the same firms’ valuations, enabling further speculative investment divorced from consumer need.

RELATED: China’s AI strategy could turn Americans into data mines

Grafissimo via iStock/Getty Images

Hype over utility

As Charles Hugh Smith recently noted, expanding credit boosts asset prices, which then serve as collateral for still more leverage — allowing capital-rich firms to outbid everyone else while hollowing out the broader economy.

The pattern is familiar. Consider the Ford plant in Glendale, Kentucky, where 1,600 workers were laid off after the collapse of government-favored electric vehicle investments. That facility is now being retooled to produce batteries for data centers. When one subsidy collapses, another replaces it.

We are trading convention for speculation. Conventional technology — reliable hardware, the internet, mobile computing — delivers proven, measurable utility. The current investment surge into artificial general intelligence is based on hypothetical future returns propped up by state power.

The good old laptop is becoming collateral damage in what may prove to be the largest government-induced tech bubble yet.

Big Tech CEOs should leave policy to the politicians



President Donald Trump’s latest comments on semiconductor exports sounded almost conciliatory — until they weren’t. Speaking recently on “60 Minutes,” the president said he would let Nvidia “deal with China” but drew a bright red line: Beijing could buy chips, just not the “most advanced” ones. The message was calibrated for maximum effect: permissive enough to please markets, hawkish enough to claim toughness. Nvidia’s stock jumped immediately — but China did not get what it wanted.

Days later, in a Financial Times interview, Nvidia’s CEO, Jensen Huang, warned that if the U.S. blocked his company from selling more of its advanced chips to China, it would “lose” the AI race. The argument was astonishing in its candor: Cut us off, Beijing wins.

As grateful as America should be for breathtaking innovations, an irreconcilable tension exists between national interest and fiduciary duty.

The comparison between a president sounding measured and a CEO trying to sound indispensable captures a dangerous inversion of power. Nvidia has become more than America’s most valuable company. It’s attempting to become its policymaker, shaping the boundaries of what Washington thinks possible in its competition with China.

To understand how one company reached that position, it helps to revisit what happened in Washington just days before Trump met Xi Jinping in South Korea.

Nvidia called it a GPU Technology Conference. Yet the event felt less like a developer’s conference and more like a tech-bro-meets-MAGA jamboree: free swag and a booming video hymn to American genius — from Thomas Edison to Donald J. Trump. Huang, leather jacket gleaming, strode out like a preacher to proclaim that the age of reindustrialization had arrived.

The D.C. version of GTC was not the San Jose GTC tech insiders have come to know. For the first time, Nvidia brought a full-blown edition of its developers’ confab to the capital, a strategic choice. The company does not merely want to sit at the table where policy is made — it wants to own it.

After hours of Super Bowl-style buildup — financiers whispering, tech CEOs hinting — attendees were herded into a dimly lit hall, where Huang unveiled a cascade of partnerships. The headline act that made sleeves roll up on both the policy bench and the brokerage floor was the Vera Rubin Superchip, billed as made in America and spoken of with the gravity reserved for national monuments.

It’s a dazzling feat of engineering: silicon that can be waved before a crowd as proof that America can still design, assemble, and scale. Expected to debut next year, the chip is music to policy wonks’ ears, a gleaming symbol of reindustrialization, and perhaps a psychological hedge against the fragility of Taiwan. For investors, it’s manna. As robots increasingly take charge, building chips in the U.S. will keep the supply chain close to home and safeguard companies against the whims of geopolitics.

Then, with the applause fading, an undercurrent of tension lingered, one that perhaps only the wonks could fully register. After that opening montage, capped by Jensen’s almost rhetorical question, “Was that video amazing?” the subtext became harder to ignore. And when he closed his remarks by thanking the audience “for your service and for making America great again,” it was impossible not to think of what the financiers were murmuring on the next stage over.

“Nvidia will — or should — ship more GPUs to China.” “Jensen’s flying straight to Korea after GTC to meet Trump.” “A deal’s coming.”

Those were among the refrains traded by figures like Cantor Fitzgerald’s C.J. Muse and Altimeter Capital’s Brad Gerstner. All this, of course, is contrary to the prevailing consensus among China-watchers that the notion of rendering Beijing dependent on Nvidia’s chips is fantasy. Cultivating indigenous capability by acquiring American technology by legal or illicit means has long been Beijing’s modus operandi.

Huang knows this. Still, his company has long worked to blunt export controls and push China-specific versions of its flagship Blackwell chip, the so-called B20. It’s a familiar playbook: First came the H100, then its “export-compliant” cousins, the H800 and H20. Each time, Washington tightens the rules; each time, Nvidia finds a workaround. But this must stop.

RELATED: Big Tech’s AI boom hits voters hard — and Democrats pounce

Photo by Ron Jenkins/Getty Images

The dilemma is simple but corrosive. As grateful as America should be for breathtaking innovations, an irreconcilable tension exists between national interest and fiduciary duty. Huang may sound bullish on “betting on America,” but the reality is starker: If his company could power the AI revolutions of both superpowers at once, it would add trillions to its market cap. He is pragmatic and coldly arithmetic. Build the best chips, profit from ubiquity. You don’t get where he is without knowing your math.

At GTC, I saw the divide play out in miniature. As Altimeter’s Brad Gerstner floated the idea that “logic is on the side of letting Nvidia compete with China,” I turned to a biotech researcher. Blunt and unamused, he said: “Bulls**t.” He went on to explain that, in his field especially, China’s ascent has been a wholesale rejection of the “make China dependent” fantasy. He wasn’t wrong: Under Xi Jinping, the Made in China 2025 agenda has rendered such dependency theories delusional.

Huang tries to thread the needle gracefully, extolling U.S. manufacturing while signaling an embrace of Chinese developers. As an American, it’s hard not to be charmed by his all-American chip. As a realist, however, one leaves with questions no press release can answer. In a way, the release of this patriot-approved superchip was meant to suggest, “See, now we can sell some Blackwells to China.” As charmed as one can be, the answer is still no.

One could have told the Roosevelt administration that cutting Germany off from nuclear materials would stifle innovation. Yet we did exactly that during the Manhattan Project. And we won. It may not sound like it, but this is the same choice we face today — only this race has even greater implications for the future of civilization.

The goal can’t be attempting to trap Beijing in “dependency.” The stakes are too high. The most prudent approach is to focus on surpassing them in innovation while closing loopholes that let Beijing do what it has mastered: Learn from us, then try to replace us.

Jensen Huang has every right to fight for his company’s profits. But foreign policy shouldn’t run on a corporate playbook. The U.S. needs innovators — not influencers — setting the terms of technological rivalry.

Editor’s note: A version of article appeared originally at the American Mind.

Nvidia becomes first company to top $5 trillion valuation amid AI boom



The Big Tech boom around artificial intelligence shows no signs of stopping as several companies continue to climb in value. And Nvidia is leading the charge.

AI chipmaker Nvidia became the first company to reach a $5 trillion market valuation this week, just three months after it climbed over the $4 trillion threshold, the New York Post reported.

'The market continues to underestimate the scale of the opportunity, and Nvidia remains one of the best ways to play the AI theme.'

Nvidia, now in the $5 trillion club by itself, has seen outstanding growth in the last three years since the start of the AI boom. In June 2024, Nvidia reached $3 trillion; in July 2025, it reached $4 trillion.

RELATED: Everything’s bigger in Texas — especially Nvidia’s new $500 billion AI factories

Photographer: Kent Nishimura/Bloomberg via Getty Images

"Nvidia hitting a $5 trillion market cap is more than a milestone; it's a statement, as Nvidia has gone from chip maker to industry creator," Matt Britzman, senior equity analyst at Hargreaves Lansdown, told the New York Post.

"The market continues to underestimate the scale of the opportunity, and Nvidia remains one of the best ways to play the AI theme," Britzman continued.

Some estimates pin Nvidia CEO Jensen Huang's stake in the company at roughly $179.2 billion, making him the world's eighth-richest man.

This week, Apple topped $4 trillion, joining Microsoft and Nvidia above that mark, according to CNN.

This rapid growth in the tech industry, however, has sparked concerns that this could be a bubble waiting to burst.

In an August interview with The Verge, OpenAI CEO Sam Altman said, "When bubbles happen, smart people get overexcited about a kernel of truth."

"If you look at most of the bubbles in history, like the tech bubble, there was a real thing. Tech was really important. The internet was a really big deal. People got overexcited," Altman said.

Return reached out to Nvidia for comment but did not receive a response.

Bigger Can Be Better: How the US Can Use M&A To Keep the Edge Against China

As experts warn that the United States is at risk of losing a technological arms race to China, others say axing Biden-era restrictions on corporate mergers and acquisitions will help the country remain competitive.

The post Bigger Can Be Better: How the US Can Use M&A To Keep the Edge Against China appeared first on .

$1B worth of cutting-edge AI chips from NVIDIA sold on China's black market: Report



Less than a day after the Trump administration announced its ambitious plan to lead the world in the AI industry, news broke that China has accessed high-tech AI chips on the black market despite U.S. industry protections, threatening America's competitive advantage in the cutthroat industry.

The Financial Times reported on Thursday that China has been selling and receiving cutting-edge AI chips on the black market despite Trump's export controls and tariffs to curb Chinese access to leading technologies.

'Trying to cobble together data centers from smuggled products is a losing proposition, both technically and economically.'

The report went on to say that more than $1 billion worth of NVIDIA B200 chips has been sold on the black market in China. Lawyers familiar with the trade rules told FT that while it is legal to sell and receive restricted chips within China, on the condition that the proper tariffs are paid, entities selling and sending them to China would be violating U.S. regulations.

The report indicated that NVIDIA was not aware of these illegal sales by third parties.

RELATED: Everything’s bigger in Texas — especially Nvidia’s new $500 billion AI factories

Photo by JADE GAO/AFP via Getty Images

"Trying to cobble together data centers from smuggled products is a losing proposition, both technically and economically," a NVIDIA spokesperson told Blaze News. "Data centers require service and support, which we provide only to authorized NVIDIA products."

The Trump administration has lessened its restrictions on older chips, such as the H20 chip, but chips like the B200 and the B300, the latter of which has reportedly been advertised in China but has not yet been released, are crucial to maintaining U.S. supremacy in the technology world.

The U.S. has been attempting to "win the AI race," as AI czar David Sacks said in a White House press release for the American AI Action Plan on Wednesday. While the plan does provide for greater cooperation with friends and allies on the world stage, it also prioritizes protecting the American AI industry and maintaining a competitive edge in AI development.

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