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Trump's $5-million 'gold card' visa might never happen

Trump's $5-million 'gold card' visa might never happen

National Post07-07-2025
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He told the Financial Times in mid-June that 70,000 people have signed up to learn more about the card.
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Lutnick has said the idea for the gold card came from hedge fund manager John Paulson, who spoke with Trump and Lutnick about the project. Elon Musk's U.S. DOGE Service played a key role in organizing that effort, including standing up a website that advertises 'The Trump Card Is Coming,' according to records obtained by The Washington Post and a Department of Homeland Security official familiar with the matter, who spoke on the condition of anonymity to share internal discussions. The website instructs visitors to enter their name, email address and region to 'be notified the moment access opens.'
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In mid-April, DOGE representatives Edward Coristine and Marko Elez asked employees at DHS and the State Department to quickly set up a system that would pass gold card visa applicants' data among different parts of DHS, the records show. The data that would be transferred was sensitive, detailing applicants' names, birth dates, places of residence and other personal information, the records show.
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The DHS team finished setting up its requested data transfer pipeline in less than a week, the employee said, then settled in to wait for applicants. But as of late June, not a single application had come along on a webpage for the visa application, which isn't public, the employee said.
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Lutnick told Axios in late May that the website would roll out in a week, and details about the visas would come out 'over a matter of the next weeks; not months, weeks.'
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Around the world, other countries that had once offered similar costly green cards have reversed course after controversies over granting rich people unfettered residency and the fallout from that, said Kate Hooper, a senior policy analyst for the nonpartisan Migration Policy Institute. For instance, Spain ended its golden visa after an explosion in housing prices fuelled by wealthy buyers.
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'There's been a bit of a backlash to that … the optics of selling citizenship and worries about due diligence,' Hooper said.
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Hooper, who studies the gold visa programs globally, said the U.S. proposal would be the most expensive one out there if it were feasible. Wealthy foreigners who want to spend less could easily acquire a visa to several Caribbean island nations for a fraction of the cost Trump has proposed. For instance, Antigua and Barbuda requires a contribution of $230,000 to a national development fund for a visa.
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It is also unclear how many people would be interested in pursuing a U.S. gold card. EB-5 visas, which require investments of either $800,000 or $1.05 million, creating at least 10 jobs, are allocated to 10,000 foreigners a year.
The UBS Global Wealth Report for this year estimated many of the world's millionaires already live in the U.S., and there may be about 33.5 million people outside of the U.S. with at least $1 million. The report didn't specify how many of those foreign millionaires might already have legal access to the U.S. and how many have more than $5 million.
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Prediction: This Artificial Intelligence (AI) Semiconductor Stock Will Soar in September (Hint: It's Not Nvidia)
Prediction: This Artificial Intelligence (AI) Semiconductor Stock Will Soar in September (Hint: It's Not Nvidia)

Globe and Mail

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  • Globe and Mail

Prediction: This Artificial Intelligence (AI) Semiconductor Stock Will Soar in September (Hint: It's Not Nvidia)

Key Points Rising AI infrastructure spend bodes well for data center services and GPU designers. Access to high-caliber memory and storage solutions should arise alongside increased demand for GPUs. Micron Technology has a budding high-bandwidth memory solutions business, yet it trades at a considerable discount to other leading semiconductor stocks. 10 stocks we like better than Micron Technology › Over the last few weeks, several big tech companies have reported earnings for the second calendar quarter of 2025. One of the biggest takeaways from behemoth artificial intelligence (AI) developers like Alphabet, Meta Platforms, Microsoft, and Amazon is that investment in infrastructure continues to surge. Collectively, these companies are expected to spend more than $330 billion on AI infrastructure this year alone. A large portion of this capital is going to data center buildouts, networking equipment, servers, and more chips, of course. At first glance, these secular tailwinds may appear most favorable for GPU designers such as Nvidia and Advanced Micro Devices. However, rising GPU acquisition ignites demand for other mission-critical services within the broader semiconductor landscape, too. Let's dig into why Micron Technology (NASDAQ: MU) also looks well positioned alongside its chip peers to benefit from rising AI infrastructure spend from the hyperscalers. Is now a good time to scoop up shares of Micron with earnings scheduled for September? Read on to find out. What does Micron do? Nvidia and AMD design advanced chipsets called GPUs, which serve as the core architectures on which AI models are trained and inferenced. Micron enters the equation through its high-bandwidth memory (HBM) solutions, which essentially help keep GPUs running at optimal speeds and help prevent bottlenecks during data workload processing. Outside of data centers, Micron's DRAM and NAND products power applications across Internet of Things (IoT) devices such as smartphones and gaming PCs, as well as cloud infrastructure and more industrial applications such as autonomous automotive systems and robotics. How large of an opportunity is high-bandwidth memory? According to data compiled by Bloomberg Intelligence, the total addressable market for HBM was estimated to be worth $4 billion in 2023. This figure is expected to grow at a 42% compound annual growth rate through 2033, reaching approximately $130 billion by the early 2030s. Despite this rapid acceleration, the HBM market remains highly concentrated. Only a few companies such as Micron, Samsung, and SK Hynix are producing HBM solutions at global scale. While competition is intense, I see this industry concentration as the foundation of Micron's high strategic market value. As hyperscalers expand AI capacity, many will seek to diversify their supply chains for different chip components. This makes sense, as big tech does not want to rely solely on a singular vendor in order to ensure steady access to chip supply, lock in favorable pricing, and access broader manufacturing footprints. With its growing HBM capabilities, Micron is well positioned to acquire additional market share in this environment. Is Micron stock a buy right now? The chart below benchmarks Micron against a small cohort of leading chip stocks on a forward price-to-earnings (P/E) basis. Data by YCharts. The obvious thing that sticks out is that Micron's forward P/E experienced notable compression during late 2024. This is due, in part, to the lumpiness in Micron's financial guidance since accurately forecasting demand trends for a still-developing market such as HBM is challenging. Investors tend to shy away from uncertainty, which appears to be weighing on sentiment around Micron at the moment. The valuation disparity between between Micron and its peers could suggest that investors do not fully understand or appreciate just how important the company's products are to overall AI infrastructure. Micron's HBM solutions and edge computing products are essential for AI development at scale. As the market begins to connect the dots between Micron's leadership in memory and storage chips to the broader AI narrative, there is significant room for Micron's valuation to expand. With earnings scheduled for next month and the stock still trading for a steep discount to its peers, Micron looks like a compelling buy right now. Should you invest $1,000 in Micron Technology right now? 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The Motley Fool has positions in and recommends Advanced Micro Devices, Alphabet, Amazon, Meta Platforms, Microsoft, and Nvidia. The Motley Fool recommends Broadcom and recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy.

Is the stock market in an AI bubble?
Is the stock market in an AI bubble?

CBC

time32 minutes ago

  • CBC

Is the stock market in an AI bubble?

Stock markets surged again this week, reaching new all-time highs. Yet again, gains in financial markets were driven by a handful of companies focused on artificial intelligence. Tech giants like Meta and Nvidia have seen their values soar while investors wait breathlessly for OpenAI, Anthropic and Perplexity to go public. But for all the enthusiasm, some investors are worried. They say we've been down this road before. And they're pointing to the dot-com bubble in the 1990s when tech companies skyrocketed in value only to see the bubble burst in early 2000. "The difference between the IT bubble in the 1990s and the AI bubble today is that the Top 10 companies in the S&P 500 today are more overvalued than they were in the 1990s," wrote Torsten Sløk, Chief Economist at the economics research firm Apollo in a note on his website, citing the price-to-earnings ratios of the companies, a common measure of whether a company's stock may be overvalued. In other words, he says, this time the bursting bubble could be even worse that it was. And that's saying something. The dot-com bubble in the 1990s had many similarities to the market today. A new technology was offering a potential game-changing way of doing business, and everyone wanted a piece of it. When the bubble burst Many of today's biggest companies were founded in those nascent days of the internet. Companies like Apple, Amazon and Microsoft were key pillars to the then-new wave of technology companies. But other giants of the day failed and were wiped out when the bubble burst. Companies like and WorldCom raised hundreds of millions of dollars and collapsed. From 1995 to March of 2000, the NASDAQ index had climbed 80 per cent. Then the bubble burst. By October of 2002, the NASDAQ had dropped by a staggering 78 per cent from its peak, wiping out all the gains it made during the bubble. Today, it's not hard to find similarities in the markets. Investors are flocking into a space they don't fully understand, before the use-case application of the underlying technology is established. The real economy is struggling to find its footing amid all the turmoil and uncertainty associated with Trump's trade war and on-again, off-again tariffs. Job growth has slowed and the U.S. economy shrank in the first three months of the year. Some of America's biggest companies have been clobbered by tariff costs. GM says tariffs led to a $1.1 billion drop in profits. Ford posted its first quarterly loss in years. And still stocks are at all-time highs and there is a clear sense of FOMO (fear of missing out). "Every bubble in modern market history has been based on a narrative, whether it be the internet or real estate," wrote Wall Street trader Tom Essaye in his newsletter Sevens Report. "Today, that potentially bubble-inflating theme is unquestionably AI technology." What looks different this time But for all the similarities, there are some very obvious differences as well. Barry Schwartz joined the investment firm Baskin Wealth Management as the dot-com bubble was bursting. Today, he's the company's president and chief investment officer "Unlike the dot-com pre-revenue companies, these companies are profitable. They have global distribution, captive customers," he said in an interview with CBC News. Schwartz says Google, Apple, Meta and Amazon all have billions of customers. He says those businesses will continue whether AI becomes a game changer or not. But if it does, those tech giants will be poised to take advantage. "So this is not like chicken and the egg. The egg and the chicken are already on the table. The market understands it," said Schwartz. U.S. President Donald Trump's AI czar, billionaire David Sacks, says most people don't fully understand where AI development really is at the moment. "The Doomer narratives were wrong," he posted to the social media platform X. Sacks says that narrative was built on the notion that there would be a rapid take-off to artificial general intelligence which would propel one AI model to self improve rapidly enough to leave the others in the dust. But he says, the opposite is happening. "The leading models are clustering around similar performance benchmarks," he wrote in his lengthy post last week. "Model companies continue to leapfrog each other with their latest versions." More to the point, those models (like OpenAI's ChatGPT, X's Grok or Google's Gemini) are building what he calls "developing areas of competitive advantage." WATCH | AI 'assistants' could change how you use the internet AI agents could change how you use the internet 16 days ago OpenAI and other big tech companies are starting to roll out the next wave of artificial intelligence, designed to operate with more autonomy. CBC's Nora Young breaks down how agentic AI works and why some think it will change how you use the internet. So, from a market perspective, a handful of AI models are in healthy competition with one another. Meanwhile, the tech giants (Apple, Amazon, Meta just to name a few) are aggressively adapting AI into their business models. And chip makers like Nvidia can barely keep up with the insatiable demand all those companies have developed. Case in point, Nvidia hasn't just seen its stock take off. Its revenues are so big they're hard to wrap your head around. Since 2022 Nvidia's revenues have quintupled. Its profits are up more than tenfold. Tariff uncertainty – even for tech The fears of a repeat of the dot-com bubble may be legitimate. But for now, the more pressing threat is that financial markets start pricing in the impact of the global trade war. Multiple company earnings reports have shown just how deep tariffs are already biting. Automakers like GM and Ford led the charge, but the tech companies aren't immune. Apple says tariff-related costs will climb to $2 billion through the first half of this year. Schwartz says he knows just how dangerous it is to think that "this time is different." But he says the issue boils down to a pretty simple calculation. "It just comes down to one simple question. Do you think we're gonna be using more AI and data in the future or less?" he said.

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