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Is Celestica Inc. (CLS) A Hidden AI Stock to Buy Right Now?

Is Celestica Inc. (CLS) A Hidden AI Stock to Buy Right Now?

Yahoo05-05-2025

We recently published a list of the 11 Hidden AI Stocks to Buy Right Now. In this article, we are going to take a look at where Celestica Inc. (NYSE:CLS) stands against other hidden AI stocks.
David Grain, Founder & CEO of Grain Management, joined CNBC on May 1 to discuss the AI-driven demand for data centers and tariff uncertainty. The main concerns regarding tariffs are the potential impact on costs, the resilience of supply chains, and the overall effect on business operations and their expansion. He also shared his perspective on why investors are still confident in the broadband and digital infrastructure sector. He characterized broadband as universally essential and emphasised that the demand for faster connectivity has not slowed, which is why the regulatory support for broadband expansion is globally robust. Grain noted that the administration has also met expectations for lighter regulation in the infrastructure sector, which makes it easier to advance projects and close deals. He described the admin's stance as pro-growth and supportive of secure and competitive networks. Grain also observed that infrastructure, especially broadband, is an area where there is bipartisan support, given its positive impact on economic growth at both the state and local levels.
DeepSeek's announcement was also followed by reports that suggested that some companies might be pulling back on data center spending. However, the latest earnings reports appeared to settle at least this debate and confirmed that the investments in this sector were still ongoing. David Grain elaborated on the current trends in data center investments and also stated that the demand for data centers is rising due to the increasing expansion of AI, as it requires vast amounts of computing power. He explained that while the demand here is not slowing, the feasibility of building new data centers is still influenced by the availability of reliable and high-capacity electricity.
We sifted through financial media reports to compile a list of the top hidden AI stocks with AI-related operations and opportunities. We then selected the 11 stocks that were the most popular among elite hedge funds and that analysts were bullish on. The stocks are ranked in ascending order of the number of hedge funds that have stakes in them, as of Q4 2024.
Why are we interested in the stocks that hedge funds pile into? The reason is simple: our research has shown that we can outperform the market by imitating the top stock picks of the best hedge funds. Our quarterly newsletter's strategy selects 14 small-cap and large-cap stocks every quarter and has returned 373.4% since May 2014, beating its benchmark by 218 percentage points (see more details here).
A close-up of a circuit board with components depicting the intricate electronic componentry products the company produces.
Number of Hedge Fund Holders: 44
Celestica Inc. (NYSE:CLS) provides supply chain solutions in North America, Europe, and Asia. It operates through two segments: Advanced Technology Solutions and Connectivity & Cloud Solutions. The company is riding the AI wave through business in AI/ML servers, 1.6 Terabyte switches, and advanced liquid cooling systems.
On February 21, JPMorgan initiated coverage of the stock with an Overweight rating and a $166 price target. The firm believes that Celestica would benefit from AI infrastructure investments, particularly in custom ASIC servers and white box switches, due to ties with major hyperscalers. The hyperscaler data center segment within Celestica's CCS (Cloud and Connectivity Solutions) division drove the division's revenue to improve by 28% year-over-year in Q1 2025, which totaled $1.84 billion.
The communications end market, which largely serves these hyperscalers, saw an 87% revenue increase as well. Within the CCS segment, the demand for HPS revenue grew by 99% in Q1, reaching just over $1 billion and accounting for 39% of the company's total revenue. This growth also came from hyperscalers' demand for Celestica's 400G networking switches and the ramp-up of newer 800G switch programs.
Renaissance International Small Cap Strategy stated the following regarding Celestica Inc. (NYSE:CLS) in its Q4 2024 investor letter:
'The top contributor to our portfolio performance during the quarter was Celestica Inc. (NYSE:CLS) (Canada), as the provider of electronic manufacturing services benefits from ongoing investments in AI infrastructure and high-bandwidth networking solutions. Celestica is well positioned to capitalize on emerging opportunities in next-generation data centers and networking technologies.'
Overall, CLS ranks 8th on our list of the hidden AI stocks to buy right now. While we acknowledge the growth potential of CLS, our conviction lies in the belief that AI stocks hold great promise for delivering high returns and doing so within a shorter time frame. There is an AI stock that went up since the beginning of 2025, while popular AI stocks lost around 25%. If you are looking for an AI stock that is more promising than CLS but that trades at less than 5 times its earnings, check out our report about this cheapest AI stock.
READ NEXT: 20 Best AI Stocks To Buy Now and 30 Best Stocks to Buy Now According to Billionaires.
Disclosure: None. This article is originally published at Insider Monkey.

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Cathie Wood sells $22.8 million of hot stock near all-time highs
Cathie Wood sells $22.8 million of hot stock near all-time highs

Yahoo

time31 minutes ago

  • Yahoo

Cathie Wood sells $22.8 million of hot stock near all-time highs

Cathie Wood sells $22.8 million of hot stock near all-time highs originally appeared on TheStreet. Cathie Wood has long been aggressive in hunting tech stocks that she believes will have a 'disruptive' impact on the future world. However, she sometimes sells a stock when it is high to secure gains. In the past week, the head of Ark Investment Management sold a popular AI stock that has surged nearly 70% year-to-date. 💵💰Don't miss the move: Subscribe to TheStreet's free daily newsletter 💰💵 Cathie Wood's investments have had a volatile ride this year, swinging from strong gains to sharp losses, and now back to outperforming the broader market. In January and February, the Ark funds rallied as investors bet on the Trump administration's potential deregulation that could benefit Wood's tech bets. But the funds stumbled in the following weeks, underperforming sharply as several of its top holdings —especially Tesla, its largest position — declined amid macroeconomic and trade policy uncertainties. Now, the fund is regaining momentum. As of June 6, the flagship Ark Innovation ETF () is up 6.11% year-to-date, outpacing the S&P 500's 2.02% gain. Wood gained a remarkable 153% in 2020, which helped build her reputation and attract loyal investors. Still, her long-term performance has made many others skeptical of her aggressive style. As of June 6, Ark Innovation ETF, with $5 billion under management, has delivered a five-year annualized return of negative 0.5%. In comparison, the S&P 500 has an annualized return of 15.18% over the same period. Wood's investment strategy is straightforward: Her Ark ETFs typically buy shares in emerging high-tech companies in fields such as artificial intelligence, blockchain, biomedical technology and robotics. Wood says these companies have the potential to reshape industries, but their volatility leads to major fluctuations in Ark funds' Ark Innovation ETF wiped out $7 billion in investor wealth over the 10 years ending in 2024, according to an analysis by Morningstar's analyst Amy Arnott. That made it the third-biggest wealth destroyer among mutual funds and ETFs in Arnott's ranking. Wood said the U.S. is coming out of a three-year 'rolling recession' and heading into a productivity-led recovery that could trigger a broader bull market. In a letter to investors published on April 30, she dismissed predictions of a recession dragging into 2026, as she expects "more clarity on tariffs, taxes, regulations, and interest rates over the next three to six months." "If the current tariff turmoil results in freer trade, as tariffs and non-tariff barriers come down in tandem with declines in other taxes, regulations, and interest rates, then real GDP growth and productivity should surprise on the high side of expectations at some point during the second half of this year," she wrote. She also struck an optimistic tone for tech stocks. "During the current turbulent transition in the US, we think consumers and businesses are likely to accelerate the shift to technologically enabled innovation platforms including artificial intelligence, robotics, energy storage, blockchain technology, and multiomics sequencing," she said. But not everyone shares Wood's bullish outlook. Her flagship Ark Innovation ETF has seen $2.23 billion in net outflows over the past year through June 5, including nearly $154 million in the last month alone, according to ETF research firm VettaFi. From June 2 to June 5, Wood's Ark funds sold 179,846 shares of Palantir Technologies () , which was valued at roughly $22.8 million. Palantir is known for providing AI-driven data analytics software to the U.S. government, military, and commercial clients worldwide, including JPMorgan Chase, Airbus, and Merck. The company reported stronger-than-expected first-quarter revenue in early May and raised its full-year outlook as demand for AI tools increased. 'We are delivering the operating system for the modern enterprise in the era of AI,' CEO Alex Karp said. While many tech stocks have struggled this year, Palantir has stood out. Its shares are up roughly 69% in 2025 and just hit a record close of $133.17 on June of the recent momentum comes from its government work. Back in May 2024, Palantir won a $480 million, five-year U.S. Army contract to build its Maven Smart System, which is a battlefield AI prototype. 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More Palantir Palantir gets great news from the Pentagon Wall Street veteran doubles down on Palantir Palantir bull sends message after CEO joins Trump for Saudi visit 'The recently published article by The New York Times is blatantly untrue,' the company wrote. 'Palantir never collects data to unlawfully surveil Americans.' Palantir remains a core position for Wood even after recent trims. The stock is now the 9th largest holding in the ARK Innovation ETF, accounting for 4.54%. Wood's latest trades in the past week include buying shares of Advanced Micro Devices () , () , Guardant Health () and Veracyte () . At the same time, she trimmed positions in Tesla () , Roblox () , Robinhood () , and Meta Platforms () .Cathie Wood sells $22.8 million of hot stock near all-time highs first appeared on TheStreet on Jun 8, 2025 This story was originally reported by TheStreet on Jun 8, 2025, where it first appeared.

Why We Need Global Prosocial AI Governance — Now
Why We Need Global Prosocial AI Governance — Now

Forbes

time38 minutes ago

  • Forbes

Why We Need Global Prosocial AI Governance — Now

Abstract image of a person's profile symbolically composed of dials of different sizes. Concept man, ... More time, space The artificial intelligence revolution isn't coming — it's here. But unlike previous technological waves, AI's transformative power is being concentrated in the hands of remarkably few players, creating global imbalances that threaten to entrench existing inequalities for generations. As AI systems increasingly shape our economies, societies, and daily lives, we face a critical choice: Will we allow narrow market forces and geopolitical power dynamics to dictate AI's development, or will we proactively steer this technology toward benefiting humanity as a whole? It is late to set the stage for global prosocial AI governance, but it is not too late – yet. 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This creates what development economists call a digital colonialism scenario — entire regions become structurally dependent on technology controlled by a handful of corporations and governments. The concentration isn't limited to hardware. Three cloud providers — Amazon, Microsoft, and Google — control over 65% of global cloud infrastructure, creating additional bottlenecks for AI access. When you need specialized chips from one company, hosted on infrastructure controlled by three others, and governed by regulations written primarily in wealthy nations, the barriers to entry become virtually insurmountable for most of the world's population. This hardware concentration translates into stark global inequalities that dwarf previous technological divides. The economic and social benefits of AI remain geographically concentrated, primarily in the Global North. But unlike the gradual rollout of previous technologies like the internet or mobile phones, AI's infrastructure requirements create immediate exclusion rather than delayed adoption. Consider the practical reality: training a state-of-the-art AI model requires computational resources that cost millions of dollars and consume as much electricity as entire cities. The rise of AI could exacerbate both within-country and between-country inequality, placing upward pressure on global inequality as high-income individuals and regions benefit disproportionately while resource-poor regions risk being left behind. This creates a vicious cycle. Countries and regions without access to AI infrastructure become less competitive economically, reducing their ability to invest in the very infrastructure they need to participate in the AI economy. Meanwhile, AI-enabled automation threatens to disrupt traditional export industries that many developing economies rely on, from manufacturing to service outsourcing. The result is what economists call premature deindustrialization — developing countries losing industrial competitiveness before achieving full industrialization. But now it's happening at digital speed, compressed from decades into years. Yet maybe the fundamental challenge with AI isn't the technology itself — it's the intention behind its development and deployment, now amplified by a sharpened concentration of control. Today's AI systems are predominantly designed to maximize engagement, extract value, or optimize narrow business metrics determined by a small number of actors. Social media algorithms amplify divisive content because controversy drives clicks. Hiring algorithms perpetuate bias because they're trained on historical data that reflects past discrimination. Financial AI systems may optimize for short-term profits while creating systemic risks. This is where prosocial AI governance becomes essential. Unlike traditional regulatory approaches that focus on constraining harmful outcomes, prosocial AI governance aims to actively incentivize beneficial behaviors from the outset. ProSocial AI can enhance access to essential services, improve efficiency in resource use, and promote sustainable practices across all levels of society — but only if we design governance systems that prioritize broad-based benefits over narrow optimization. The global AI regulation landscape is fragmented and rapidly evolving. Earlier optimism that global policymakers would enhance cooperation and interoperability within the regulatory landscape now seems distant. The European Union has pioneered comprehensive AI regulation through its AI Act, while other jurisdictions take vastly different approaches — from the United States' innovation-first philosophy to China's state-directed development model. This fragmentation creates several problems. First, it allows AI developers to engage in regulatory arbitrage, developing systems in jurisdictions with the most permissive rules. Second, it prevents the emergence of global standards that could ensure AI systems operate prosocially across borders. Third, it creates competitive disadvantages for companies that voluntarily adopt higher ethical standards. Given the borderless nature of this issue, an internationally coordinated response is necessary. AI systems don't respect national boundaries — a biased hiring algorithm developed in one country can perpetuate discrimination globally, while misinformation generated by AI can destabilize societies worldwide. 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Scale AI's 30-year-old billionaire founder still shops at Shein and pulls up to work in a Honda Civic: ‘Act broke, stay rich,' Lucy Guo says
Scale AI's 30-year-old billionaire founder still shops at Shein and pulls up to work in a Honda Civic: ‘Act broke, stay rich,' Lucy Guo says

Yahoo

time40 minutes ago

  • Yahoo

Scale AI's 30-year-old billionaire founder still shops at Shein and pulls up to work in a Honda Civic: ‘Act broke, stay rich,' Lucy Guo says

Billionaire college dropout Lucy Guo is reportedly the youngest self-made woman on the planet—knocking Taylor Swift off the top spot. But even with a $1.3 billion reported net worth, the 30-year-old cofounder of Scale AI tells Fortune she still pinches the pennies and shops at Shein. Despite founding and retaining a $1.3 billion stake in an AI unicorn, you won't catch Lucy Guo wasting her billions on a lavish lifestyle to match her new status. 'I don't like wasting money,' the frugal 30-year-old tells Fortune. Of course, sometimes Guo will splurge—like if she's got a 16 hour flight to endure, she says she'll opt for business class. And there's the odd designer dress hanging in her closet for when she needs it. 'But in terms of like daily life, my assistant just drives me in a pretty old Honda Civic. I don't care,' she says. 'Everything I wear is free or from Shein… Some of them aren't going to be that great quality, but there's always like two pieces or so that really work out, and I just wear them every day,' the billionaire founder laughs. 'I still literally buy buy-one-get-one-free on Uber Eats.' Guo, who is currently the founder and CEO of the creator community platform Passes, adds that a quote she stumbled on on the morning of our interview perfectly summarises her approach: 'It's like, act broke, stay rich.' Guo hit the jackpot after the AI startup she cofounded, Scale AI, was reportedly valued at $25 billion in April as part of a share sale. Although she left the company in 2018 (two years after founding it), the 5% stake she held onto is now worth an estimated $1.2 billion—making the millennial one of just 5 female billionaires under 40 according to Forbes' latest ranking, including Rihanna and Anthropic's cofounder Daniela Amodei. It's why Guo no longer feels the need to prove her wealth with a Patek Philippe everyday watch, or a Hermès Birkin to carry her laptop. That, she says, is the behaviour of millionaires. 'Who you see typically wasting money on, designer clothes, a nice car, et cetera, they're technically in the millionaire range,' Guo explains. 'All their friends are multimillionaires, or billionaires and they feel a little bit insecure, so they feel the need to be flashy to show other people, 'look, I'm successful.'' 'I'm not showing off to anyone, right?' Indeed, for our interview, she's makeup-free, dressed down, and could pass for any other millennial. But earlier in her career, Guo admits she, too, may have been dripping in designer gear. 'I do think that this is actually something that I personally went through, and I think a lot of people go through when you're in that middle ground of you're successful, but not as successful as you want to be.' 'And I think the reason most billionaires dress in a t-shirt, jeans, hoodies, is that they can. They don't need to be in the suit 24/7 because they're done proving themselves to the rest of the world. The rest of the world is just sucking up to them,' she adds. 'And I think that's kind of how I like feel, where I'm past that hump. I don't really have to prove myself to anyone.' 'No one's going to look at me and point at me like, 'Haha, she's so broke' when I'm pulling up in a Honda Civic because whatever, it doesn't matter.' Guo's not the only ultra-wealthy to admit she's 'pretty frugal.' The world's most powerful have been boasting about their quiet luxury lifestyle for some time now. They've been donning logo-less angora wool jumpers and linen trousers that could be from anywhere to the unassuming eye. Experts say their wealthy peers can tell who is wearing Zara from who is in Loro Piana, but the point is to resemble people in lower tax brackets. Others, like KeKe Palmer and Warren Buffet, have been less subtle about how they lead very normal lives, despite their huge net worths—with the world's most famous investor going as far to call himself 'cheap'. But in Guo's eyes, she's one of the few who actually are as cheap as they say they are. 'I think that people want to fit into society. Specifically in America, I do think there is a 'we hate billionaires situation.' So because of that, people want to show, 'look, I'm not your typical billionaire. I'm frugal,'' she explains. 'I'm not saying it to be like, 'let me show you the world that I'm not like other billionaires,' Guo adds. 'I fully admit it, I have gone through that spending spree when I was more insecure, and I felt like I needed to show something.' And those who really aren't spending their millions? They aren't doing it to be relatable, she says it's because like her they had their flashy era—then reached the inevitable realisation: 'Why am I wasting my money on something that doesn't matter?' This story was originally featured on 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

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