logo
These 2 AI Stocks Give You Access to China's ‘New AI Tiger' MiniMax

These 2 AI Stocks Give You Access to China's ‘New AI Tiger' MiniMax

Yahoo6 hours ago

Chinese AI startup MiniMax is emerging as a formidable competitor to DeepSeek, having recently launched breakthrough products, including the M1 reasoning model, which uses less than half the computing power of DeepSeek-R1. The Shanghai-based company, valued at $2.5 billion in its March 2024 funding round, is preparing for a Hong Kong initial public offering (IPO) as early as this year.
MiniMax represents one of China's 'four new AI tigers' competing against Western giants, such as OpenAI. The company's latest innovations include the Hailuo 02 video generator and MiniMax Agent, which indicate it is poised to gain traction in the generative AI space.
Dear Tesla Stock Fans, Mark Your Calendars for June 30
The 'Golden Era' for Tesla Starts June 22. Should You Buy TSLA Stock First?
Nvidia Is Quickly Approaching a New Record High. Is It Too Late to Buy NVDA Stock?
Markets move fast. Keep up by reading our FREE midday Barchart Brief newsletter for exclusive charts, analysis, and headlines.
Investors can gain exposure to MiniMax through two major stakeholders: Alibaba (BABA) and Tencent (TCEHY), both of which are strategic investors in the startup. This provides retail investors with indirect access to one of China's most promising AI companies, without requiring them to wait for the IPO.
However, industry experts warn that these so-called AI tigers face sustainability challenges, with most still burning cash while seeking viable profit models beyond free trials and limited enterprise customization.
Valued at a market capitalization of $593 billion, Tencent is one of the largest companies in China. In Q1, it reported revenue of $25.1 billion, a 13% year-over-year increase, while net income grew 22% to $8.5 billion. The technology giant's gross profit exceeded $14 billion for the first time, demonstrating strong operational leverage across its diversified business portfolio.
Tencent's strategic AI investments are already generating tangible returns across multiple segments. Marketing services revenue accelerated 20% year-over-year, benefiting from AI-powered advertising improvements that enhanced click-through rates from historical 1% levels to 3% in certain inventories.
Domestic Games achieved exceptional 24% growth, with flagship titles like Honor of Kings and Peacekeeper Elite reaching record quarterly revenues, supported by AI-enhanced user engagement and content optimization.
Tencent's Weixin ecosystem, serving 1.4 billion monthly active users, is becoming the centerpiece of its AI strategy. The tech giant has integrated the Yuanbao AI assistant directly into Weixin chats, enabling context-aware responses and content discovery.
Weixin Search now incorporates large language model results, while AI-powered tools help content creators generate images and video effects, significantly reducing the time required for Mini Program development.
The gaming portfolio demonstrated remarkable strength, with Delta Force achieving 12 million peak daily active users and becoming the highest-ranked new mobile game released in China over the past three years. International games grew 23% year-over-year, driven by titles including PUBG Mobile and Brawl Stars.
Management emphasized that current AI investments represent a long-term value creation strategy, with CEO Pony Ma noting that while near-term costs may temporarily narrow operating leverage, these investments will generate 'substantial incremental returns' over the longer term. Tencent increased capital expenditures by 91% year-over-year to $3.8 billion, primarily for investments in GPUs and servers to enhance its AI capabilities.
Out of the 16 analysts covering Tencent stock, 13 recommend 'Strong Buy,' two recommend 'Moderate Buy,' and one recommends 'Hold.' The average target price for Tencent stock is $90, roughly 41% above the current price of $64.
In fiscal Q4 2025 (ended in March), Alibaba grew its sales by 7% year over year to $32.6 billion. A focus on operational efficiency allowed the e-commerce giant to increase adjusted EBITDA by 36% to $4.6 billion.
Alibaba's AI and cloud computing initiatives are driving momentum. Alibaba Cloud achieved accelerated 18% revenue growth, powered by sustained triple-digit growth in AI-related products for the seventh consecutive quarter.
Management highlighted the expansion of AI adoption beyond large enterprises to small and medium-sized businesses, with new customers migrating from traditional offline infrastructure to cloud-based AI services across various sectors, including manufacturing, financial services, and even animal farming.
E-commerce operations showed strong user engagement, with Taobao and Tmall Group's customer management revenue growing 12% year-over-year, driven by improved monetization through the Quanzhantui advertising platform and new software service fees. The platform's premium 88VIP membership exceeded 50 million users, demonstrating growing customer loyalty and spending power.
International expansion accelerated through Alibaba International Digital Commerce (AIDC), which achieved 22% revenue growth driven by robust cross-border business performance. It remains on track to achieve quarterly profitability in its international e-commerce operations.
Alibaba strengthened its balance sheet by divesting non-core assets, generating $2.6 billion in cash proceeds. The company returned $16.5 billion to shareholders through $11.9 billion in share repurchases and $4.6 billion in dividends, including a 5% increase in annual dividends. With a strong $50.5 billion net cash position, Alibaba is well-positioned to capitalize on AI opportunities while maintaining its commitment to shareholder returns.
Out of the 20 analysts covering BABA stock, 19 recommend 'Strong Buy' and one recommends 'Moderate Buy.' The average target price for BABA stock is $162, 44% above the current price.
On the date of publication, Aditya Raghunath did not have (either directly or indirectly) positions in any of the securities mentioned in this article. All information and data in this article is solely for informational purposes. This article was originally published on Barchart.com

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Can Palantir Stock Turn $5,000 Invested Today Into $100,000 in the Next Decade?
Can Palantir Stock Turn $5,000 Invested Today Into $100,000 in the Next Decade?

Yahoo

time41 minutes ago

  • Yahoo

Can Palantir Stock Turn $5,000 Invested Today Into $100,000 in the Next Decade?

Palantir stock has advanced more than 2,000% since January 2023, achieving a return that would have turned $5,000 into $107,000. Palantir is a recognized leader in artificial intelligence and machine learning platforms, a market forecasted to grow at 40% annually through 2028. Palantir shares currently trade at 109 times sales, an expensive valuation that is three times higher than that of the next-closest stock in the S&P 500. 10 stocks we like better than Palantir Technologies › Palantir Technologies (NASDAQ: PLTR) has been one of the hottest stocks on the market in recent years. Its share price has soared more than 2,000% since January 2023, achieving a return that would have turned a $5,000 investment into $107,000 over that period. Will Palantir shareholders see similar gains over the next decade? Here's what investors should know. Palantir provides data analytics and artificial intelligence (AI) software that enables businesses to manage and make sense of complex information. Its platforms have applications across almost every industry. As an example, Archer Aviation recently adopted Palantir's Foundry and Artificial Intelligence Platform (AIP) products to improve its aircraft manufacturing capabilities, and the companies will collaborate to design critical aviation systems in the future. Forrester Research recognized Palantir as a leader in AI and machine learning platforms last August, awarding its AIP product higher scores than similar tools from Alphabet's Google, Microsoft, and Databricks, a private company currently valued at $75 billion. The report highlighted differentiated software architecture as a key strength. "Palantir is quietly becoming one of the largest players in this market," wrote analyst Mike Gualtieri. Palantir continued to show near-flawless execution in the first quarter. Revenue increased 39% to $884 million, marking the seventh consecutive acceleration (as shown in the chart below), due to particularly strong growth in the U.S. commercial and government segments. And non-GAAP (non-generally accepted accounting principles) net income increased 70% to $334 million. Management attributed the strong results to the demand for AIP. Importantly, Chief Technology Officer Shyam Sankar told analysts on the first-quarter earnings call, "Our foundational investments in ontology and infrastructure have positioned us to uniquely deliver on AI demand now and in the years ahead." That is encouraging because International Data Corporation estimates AI platform spending will increase by 40% annually through 2028. Palantir must increase at least 20 times in value (equivalent to a 1,900% return) over the next decade to turn $5,000 into $100,000. As mentioned, the stock has already notched returns of that magnitude once, and it did so in much less time. Shares advanced by over 2,000% in the last 30 months. It's worth noting that four companies in the S&P 500 achieved sufficient gains to turn $5,000 into $100,000 in the last decade, as listed below. Palantir is not included because the company did not go public until 2020. Nvidia: +26,530% Advanced Micro Devices: +4,790% Axon Enterprise: +2,180% Texas Pacific Land: +2,060% However, Palantir's share price is unlikely to increase 20-fold during the next decade. I say that because the company is already worth $324 billion. Multiplying that by 20 would bring its market value to $6.5 trillion, which seems implausible, given that Microsoft is currently the world's largest company and its market value is just $3.5 trillion. Additionally, Palantir stock would need to gain 35% annually over the next decade to achieve a total return of 1,900%. That seems particularly unlikely, considering shares already trade at a shockingly expensive 109 times sales. For context, the next-closest member of the S&P 500 is Texas Pacific Land at 35 times sales. Consider this: Even if Palantir trades at 40 times sales in 10 years (which would still be the most expensive stock in the S&P 500 at current prices), revenue would need to increase by 49% annually during that period for the company to achieve a $6.5 trillion market value. Palantir's revenue increased by only 39% last quarter, so the odds of revenue growing at 49% annually for the next 10 years are remote at best. Here's the bottom line: Palantir is executing on a tremendous market opportunity, but the current valuation is absurd. Personally, I think investors should steer clear of the stock at its current price, or at least keep their position sizing very small. At some point, valuation will matter, and Palantir shares could crash. Before you buy stock in Palantir Technologies, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Palantir Technologies wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $664,089!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $881,731!* Now, it's worth noting Stock Advisor's total average return is 994% — a market-crushing outperformance compared to 172% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of June 9, 2025 Suzanne Frey, an executive at Alphabet, is a member of The Motley Fool's board of directors. Trevor Jennewine has positions in Axon Enterprise, Nvidia, and Palantir Technologies. The Motley Fool has positions in and recommends Advanced Micro Devices, Alphabet, Axon Enterprise, Microsoft, Nvidia, and Palantir Technologies. The Motley Fool 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. Can Palantir Stock Turn $5,000 Invested Today Into $100,000 in the Next Decade? was originally published by The Motley Fool 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

Intel to outsource marketing to Accenture and AI, resulting in more layoffs
Intel to outsource marketing to Accenture and AI, resulting in more layoffs

Yahoo

time2 hours ago

  • Yahoo

Intel to outsource marketing to Accenture and AI, resulting in more layoffs

When you buy through links on our articles, Future and its syndication partners may earn a commission. Employees at Intel's marketing division were informed that many of their roles will be handed over to Accenture, which will use AI to handle tasks traditionally done by Intel staff, reports OregonLive. The decision is part of a company-wide restructuring plan that includes job cuts, automation, and streamlining of execution. The marketing division has been one of Intel's key strengths since the company began communicating directly with end users with the launch of its "Intel Inside" campaign in 1991. However, it looks like the company will drastically cut its human-driven marketing efforts going forward, as it plans to lay off many of its marketing employees, believing that Accenture's AI will do a better job connecting Intel with customers. The number of positions affected was not disclosed, but Intel confirmed changes will significantly alter team structures, with only 'lean' teams remaining. Workers will be told by July 11 whether they will remain with the company. Among other things, the aim of the restructuring is to free up internal teams to focus on strategic, creative, and high-value projects, rather than routine functions. Therefore, Intel intends to use Accenture's AI in various aspects of marketing, including information processing, task automation, and personalized communications. Intel has acknowledged the shift to Accenture and explained that this will not only cut costs but will modernize its capabilities and strengthen its brand. How exactly the usage of AI instead of real people can reinforce the brand hasn't been explained yet. "As we announced earlier this year, we are taking steps to become a leaner, faster and more efficient company," a statement by Intel published by OregonLive reads. "As part of this, we are focused on modernizing our digital capabilities to serve our customers better and strengthen our brand. Accenture is a longtime partner and trusted leader in these areas and we look forward to expanding our work together." In messages to staff published by OregonLive, Intel indicated that part of the restructuring may involve existing employees training Accenture contractors by explaining how Intel's operations work. This knowledge transfer would occur during the transitional phase of the outsourcing plan, although it is unclear how long this phase will take. Follow Tom's Hardware on Google News to get our up-to-date news, analysis, and reviews in your feeds. Make sure to click the Follow button.

Engineering the Future with AI
Engineering the Future with AI

Entrepreneur

time2 hours ago

  • Entrepreneur

Engineering the Future with AI

"The biggest challenge isn't just deploying AI, it's embedding it into complex workflows while ensuring compliance, traceability, and IP protection," says K. A. Prabhakaran, Senior Vice President and Chief Technology Officer, Cyient Opinions expressed by Entrepreneur contributors are their own. You're reading Entrepreneur India, an international franchise of Entrepreneur Media. In a rapidly evolving industrial landscape, where the boundaries of design, manufacturing, and aftersales are increasingly blurred by digitalisation, Indian multinational Cyient is placing intelligent engineering at the heart of transformation. Established in 1991 and now employing over 17,000 people globally, Cyient has evolved into a leader in blending deep domain expertise with next-generation technologies like Artificial Intelligence (AI), Generative AI (GenAI), and simulation tools to drive industry-wide innovation. "Our technology portfolio is designed to embed intelligence across the product, plant, and asset lifecycle," shares K. A. Prabhakaran, Senior Vice President and Chief Technology Officer, Cyient. "We are using AI to accelerate design cycles, optimise manufacturing, increase supply chain visibility, and drive predictive maintenance and aftermarket intelligence." From aerospace and railways to energy, healthcare, and telecom, Cyient's technology is delivering measurable outcomes. Their AI- powered tools have shortened product development timelines, improved asset uptime, and enhanced customer service through GenAI- driven diagnostics and contextual assistants. In telecommunications, Cyient automates network planning and fibre deployments, while in healthcare, their CyNet platform aids in precise fetal diagnostics. One notable case is the company's Plant Advisor solution, which has demonstrated a 67 per cent accuracy in recommending efficiency improvements, underscoring the real-world value of AI in operational environments. What keeps Cyient ahead in the game is its strong culture of learning, strategic partnerships, and co-innovation with customers. "We've trained over 5,000 associates in AI, cloud, and platform technologies," says Prabhakaran. "Our Centres of Excellence, especially the GenAI CoE, serve as catalysts for continuous innovation." Cyient's collabration with Microsoft under the 'EnGeneer' initiative is another step forward in transforming engineering lifecycles through AI-led automation. The company also actively engages with analyst communities and customers to align its offerings with evolving market needs. Yet, integrating AI into traditional engineering ecosystems isn't without its hurdles especially in highly regulated sectors like aerospace and healthcare. "The biggest challenge isn't just deploying AI, it's embedding it into complex workflows while ensuring compliance, traceability, and IP protection," explains Prabhakaran. To tackle this, Cyient has established a robust governance framework that includes human- in-the-loop systems, modular deployments for secure data handling, and domain-specific validation gates. "It's this precision and rigour that makes our AI trustworthy and acts as a natural barrier to entry for others," he concludes.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store