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Should You Forget Nvidia and Buy These 2 Artificial Intelligence (AI) Stocks Right Now?

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Nvidia (NVDA 0.75%) has been a no-brainer buy for investors over the past couple of years. The stock has delivered both earnings and stock price performance as demand heated up for its full range of artificial intelligence (AI) products and services — with the star being Nvidia’s AI chips. The company has built its position as AI chip leader by entering the market early and focusing on innovation.

And though Nvidia stock has climbed 1,400% over the past five years, it still has plenty of room to run as the AI boom enters its next phases of growth. But Nvidia isn’t the only attractive AI stock around, and that means other stocks also may help you to score an AI victory. And some might even make more compelling buys than this AI star right now. Should you forget Nvidia and buy the following two AI stocks right now? Let’s find out.

Image source: Getty Images.

The case for Meta Platforms

Meta Platforms (META -0.69%) has made AI its investment priority over the past few years as it developed its own large language model (LLM), Llama, to drive its AI platform. You probably know Meta best for its social media leadership as it owns apps many of us use daily, such as Facebook and WhatsApp — and these apps drive revenue for Meta as advertisers promote their offerings there to reach us.

Llama already has helped Meta advance in AI, powering Meta AI, the world’s most popular AI assistant. The idea is this — and potentially other AI tools — will prompt us to spend more time on Meta’s apps, and advertisers then may aim to spend even more on advertising here. On top of this, Meta aims to lead in the overall development of AI, and success here could be big for the company down the road. Chief executive Mark Zuckerberg recently formed Meta Superintelligence Labs to focus on AI development and has aggressively hired the industry’s top talent.

It’s clear that Meta is well-positioned to lead in this high-growth field, and the company also has the strong financial position — with the ability to allocate as much as $72 billion to capital spending this year — to support its goals. This is thanks to Meta’s social media moat, or competitive advantage — people don’t easily switch as they know most of their contacts probably won’t follow them to a lesser-known platform. And all of this helps Meta’s revenue to continue climbing.

The case for Alphabet

Alphabet (GOOG 0.49%) (GOOGL 0.49%), like Meta, has a strong revenue-driving business, and it’s also based on something most of us use daily. In this case, it’s Google Search, the world’s No. 1 search engine. Alphabet generates revenue by selling advertising opportunities across its Google platform, and it also is bringing in billions of dollars in revenue through Google Cloud, its cloud computing business.

This company has developed its own LLM, Gemini, and this model powers Alphabet’s virtual assistant and is part of a broad range of offerings customers find at Google Cloud — including access to top-performing chips such as those designed by Nvidia. Thanks to AI, Google Cloud is seeing tremendous growth, with sales rising 28% in the latest quarter to more than $12 billion. And this is a profitable business, with operating income surpassing $2 billion in that period.

Alphabet should benefit from AI in two ways: The company has applied AI to its own business — for example, improving search results and even the advertising experience for those customers. And Alphabet is offering AI tools and services through Google Cloud. All of this means AI could represent a huge and long-lasting growth opportunity for Alphabet.

Are these stocks better buys than Nvidia?

It’s clear that all three of these stocks make interesting AI buys, but to decide where to put our money right now, it’s a good idea to take a look at valuation. Here, Nvidia trades at a very reasonable level but still is the priciest of the bunch.

NVDA PE Ratio (Forward) Chart

NVDA PE Ratio (Forward) data by YCharts

Meta is cheaper, but its valuation actually has climbed since the beginning of the year. Alphabet has the best valuation profile of the three: It’s the cheapest in relation to forward earnings estimates and has seen its valuation decline since the start of 2025. All of this means that though you shouldn’t completely forget about Nvidia — or Meta — right now may be the moment to focus on Alphabet and add a few shares of this cheap but promising AI stock to your portfolio.

Suzanne Frey, an executive at Alphabet, is a member of The Motley Fool’s board of directors. Randi Zuckerberg, a former director of market development and spokeswoman for Facebook and sister to Meta Platforms CEO Mark Zuckerberg, is a member of The Motley Fool’s board of directors. Adria Cimino has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Alphabet, Meta Platforms, and Nvidia. The Motley Fool has a disclosure policy.



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Artificial Intelligence (AI) In Beauty and Cosmetics Market

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Artificial Intelligence (AI) In Beauty and Cosmetics Market

The Artificial Intelligence (AI) in Beauty and Cosmetics market is expected to be valued at USD 3.9 billion in 2024 and is projected to reach approximately USD 17.1 billion by 2033, growing at a CAGR of around 17.9% from 2025 to 2033.

Artificial Intelligence (AI) in Beauty and Cosmetics Market Overview:

The AI in Beauty and Cosmetics market is rapidly evolving as brands increasingly integrate smart technologies to enhance customer experiences and streamline operations. AI-powered tools such as virtual try-ons, personalized skincare recommendations, and AI-driven diagnostic tools are revolutionizing how consumers discover, select, and purchase beauty products. Companies are leveraging machine learning and facial recognition to deliver hyper-personalized solutions tailored to individual skin types, preferences, and concerns. E-commerce growth and rising demand for immersive shopping experiences are fueling AI adoption. Furthermore, AI is playing a key role in trend forecasting, inventory management, and product development, positioning it as a transformative force in the global beauty industry.

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The report further explores the key business players along with their in-depth profiling

L’Oréal Group, Procter & Gamble Co., Estée Lauder Companies Inc., Shiseido Company Limited, Unilever plc, LVMH Moët Hennessy Louis Vuitton, Coty Inc., Perfect Corp., Revieve Oy, and Olay (P&G).

💄 Artificial Intelligence (AI) in Beauty and Cosmetics Market Segments:

✅ By Type:

• Skin Care

• Hair Care

• Makeup

• Fragrances

• Others

✅ By Technology:

• Machine Learning (ML)

• Natural Language Processing (NLP)

• Computer Vision

• Chatbots & Virtual Assistants

• Augmented Reality (AR) Integration

✅ By Application:

• Personalized Product Recommendations

• Virtual Try-On & Beauty Analysis

• Skin Diagnostics

• Customer Service & Chatbots

• Inventory & Supply Chain Optimization

• Product Development & Formulation

✅ By Deployment Mode:

• Cloud-Based

• On-Premise

✅ By End User:

• Cosmetics Brands & Retailers

• Dermatology Clinics

• E-commerce Platforms

• Salons & Spas

• Individual Consumers

Report Drivers & Trends Analysis:

The report also discusses the factors driving and restraining market growth, as well as their specific impact on demand over the forecast period. Also highlighted in this report are growth factors, developments, trends, challenges, limitations, and growth opportunities. This section highlights emerging Artificial Intelligence (AI) In Beauty and Cosmetics Market trends and changing dynamics. Furthermore, the study provides a forward-looking perspective on various factors that are expected to boost the market’s overall growth.

Competitive Landscape Analysis:

In any market research analysis, the main field is competition. This section of the report provides a competitive scenario and portfolio of the Artificial Intelligence (AI) In Beauty and Cosmetics Market’s key players. Major and emerging market players are closely examined in terms of market share, gross margin, product portfolio, production, revenue, sales growth, and other significant factors. Furthermore, this information will assist players in studying critical strategies employed by market leaders in order to plan counterstrategies to gain a competitive advantage in the market.

Regional Outlook:

The following section of the report offers valuable insights into different regions and the key players operating within each of them. To assess the growth of a specific region or country, economic, social, environmental, technological, and political factors have been carefully considered. The section also provides readers with revenue and sales data for each region and country, gathered through comprehensive research. This information is intended to assist readers in determining the potential value of an investment in a particular region.

» North America (U.S., Canada, Mexico)

» Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)

» Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)

» South America (Brazil, Argentina, Rest of SA)

» Middle East & Africa (Turkey, Saudi Arabia, Iran, UAE, Africa, Rest of MEA)

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Orion Market Research (OMR) is a market research and consulting company known for its crisp and concise reports. The company is equipped with an experienced team of analysts and consultants. OMR offers quality syndicated research reports, customized research reports, consulting and other research-based services. The company also offers Digital Marketing services through its subsidiary OMR Digital and Software development and Consulting Services through another subsidiary Encanto Technologies.

This release was published on openPR.



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From fixed frameworks to strategic enablers: Architecting AI transformation

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Traditional architectural approaches have become unsustainable for technology leaders navigating today’s AI-driven landscape. Architecture is no longer a checkpoint at the end of development but must be woven throughout the entire AI transformation lifecycle. As organizations demand more tangible evidence of AI value and competitive advantage, enterprises must fundamentally transform how they approach architecture, shifting from rigid frameworks to strategic enablement. 

Key takeaways: Architects as strategic business enablers 

  • Shift from rigid control to distributed enablement: Move from centralized architectural governance to distributed frameworks that empower innovation while maintaining necessary guardrails. 
  • Embrace the product mindset: Transform architectural thinking from project-centric deliverables to product-oriented capabilities that continuously deliver business value. 
  • Develop new skills and competencies: Invest in architectural talent that combines technical expertise with strategic business acumen to lead AI transformation. 
  • Implement outcome-based metrics: Measure architectural success through business outcomes rather than technical compliance. 
  • Create self-sustainable systems: Design architectural frameworks that adapt and evolve without constant manual intervention, just as well-planned cities grow organically. 

“As the tech function shifts from leading digital transformation to leading AI transformation, forward-thinking leaders are using this as an opportunity to redefine the future of IT.” — Deloitte Tech Trends 2025 

Breaking free from the order-taking trap 

Many IT organizations have devolved into sophisticated order-taking operations, where architecture teams simply implement strategies handed down from business units without meaningful input into their formation. This execution-only mindset has created several critical dysfunctions. 

The feature factory syndrome 

When IT operates purely as a feature delivery engine, architecture becomes reactive rather than proactive. Teams rush to implement disconnected capabilities without considering the broader ecosystem impact. This creates a devastating cycle: business requests lead to feature development, which accumulates technical debt, increases integration complexity, creates maintenance burden, reduces innovation capacity and ultimately generates more feature requests. 



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We’re Light-Years Away from True Artificial Intelligence, Says Murderbot Author Martha Wells

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Many people fear that if fully sentient machine intelligence ever comes to exist, it will take over the world. The real threat, though, is the risk of tech companies enslaving robots to drive up profits, author Martha Wells suggests in her far-future-set book series The Murderbot Diaries. In Wells’s world, machine intelligences inhabit spaceships and bots, and half-human, half-machine constructs offer humans protection from danger (in the form of “security units”), as well as sexual pleasure (“comfort units”). The main character, a security unit who secretly names itself Murderbot, manages to gain free will by hacking the module its owner company uses to enslave it. But most beings like it aren’t so lucky.

In Murderbot’s world, corporations control almost everything, competing among themselves to exploit planets and indentured labor. The rights of humans and robots often get trampled by capitalist greed—echoing many of the real-world sins Wells attributes to today’s tech companies. But just outside the company territory (called the “Corporation Rim”) is an independent planet named Preservation, a relatively free and peaceful society that Murderbot finds itself, against all odds, wanting to protect.

Now, with the TV adaptation Murderbot airing on Apple TV+, Wells is reaching a whole new audience. The show has won critical acclaim (and, at the time of writing, an audience rating of 96 percent on Rotten Tomatoes), and it is consistently ranked among the streamer’s most-watched series. It was recently renewed for a second season. “I’m still kind of overwhelmed by everything happening with the show,” Wells says. “It’s hard to believe.”


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Scientific American spoke to Wells about the difference between today’s AI and true machine intelligence, artificial personhood and neurodivergent robots.

[An edited transcript of the interview follows.]

The Corporation Rim feels so incredibly prescient, perhaps even more now than when you published the first book in the series in 2017.

Yes, disturbingly so. This corporate trend has kind of been percolating over the past 10 or 15 years—this was the direction we’ve been going in as a society. Once we have the idea of corporations having personhood, that a corporation is somehow more of a person than an actual human individual, then it really starts to show you just how bad it can get. I feel like that’s been possible at any time; it’s not just a far-future thing. But depicting it in the far future makes it less horrific, I guess. It allows you to think about these things without feeling like you’re watching the news.

Currently the idea of going to Mars is being pushed by private companies as an answer to all the problems. But [the implication is that those who go will be] some billionaires and their coterie and their indentured servants, and that will somehow be paradise for them and just the reverse for everybody else. With corporations taking over, that’s when profit is the bottom line—profit and personal aggrandizement of whoever’s running it. You can’t have the kind of serious, careful scientific progress that we’ve had with NASA.

This world that you’ve created is so interesting because it’s a dystopia in some ways. The Corporation Rim certainly is. And yet Preservation is kind of a utopia. Do you think of them in those terms?

Not really, because by that standard, we live in a dystopia now, and I think that the term dystopia is almost making light of reality. It’s like if you call something a dystopia, you don’t have to worry about fixing it or doing anything to try to alleviate the problems. It feels hopeless. And if you have something you call a utopia, then it’s perfect, and you don’t have to think about problems it might have or how you could make it better for people.

So I don’t really think in those terms because they feel very limited. And clearly in the Corporation Rim, there are still people who manage to live there, mostly okay, just like we do here, now. And in Preservation, there are still people who have prejudices, and they still have some things to work on. But they are actually working on them, which sets it apart from the Corporation Rim.

One of the central themes of the Murderbot stories is this idea of personhood. Your books make it very clear that Murderbot, as a part-human, part-artificial construct, is definitely a person. With our technology today, do you think artificial intelligence, large language models or ChatGPT should be considered people?

Well, Murderbot is a machine intelligence, and ChatGPT is not. It’s called artificial intelligence as a marketing tool, but it’s not actually artificial intelligence. A large language model is not a machine intelligence. We don’t really have that right now.

We have algorithms that can be very powerful and can parse large amounts of data. But they do not have a sentient individual intelligence at this time. I still think we’re probably years and years and years away from anyone creating an actual artificial intelligence.

So Murderbot is fiction, because machine intelligence right now is fiction.

A large language model that pattern matches words, sometimes sort of sounds vaguely like it might be talking to you and sometimes sounds like it’s just putting patterns together in ways that look really bizarre—that’s not anywhere close to sentient machine intelligence.

I find myself feeling really conflicted because I often resent the intrusion of these language models and products that are being called artificial intelligence into modern life today. And yet I feel such affection and love for fictional artificial intelligences.

Yes! I wonder if that’s one thing that’s enabled the whole scam of AI to get such a foothold. Because so many people don’t like having it in their stuff, knowing that it’s basically taking all your data, anything you’re working on, anything you’re writing, and putting it into this churn of a pattern-matching algorithm. Probably the fictional artificial and machine intelligences over the years have sort of convinced people that this is possible and that it’s happening now. People think talking to these large language models is somehow helping them gain sentience or learn more, when it’s really not. It’s a waste of your time.

Humans are really prone to anthropomorphizing objects, especially things like our laptop and phone and all these things that respond to what we do. I think it’s just kind of baked into us, and it’s being taken advantage of by corporations to try to make money, to take jobs away from people and for their own reasons.

My favorite character in the story is ART, who is a spaceship—that is, an artificial intelligence controlling a spaceship. How did you think about differentiating this character from the half-machine, half-human Murderbot?

Ship-based consciousnesses have been around in fiction for a long time, so I can’t take credit for that. But because Murderbot relies on human neural tissue, that’s why it is subject to the anxiety and depression and other things that humans have. And ART is not. ART was very intentionally created to work with humans and be part of a of a team, so it’s never had to deal with a lot of the negative things that Murderbot has. Someone on the internet described ART as, basically, if Skynet was an academic with a family. That’s one of the best descriptions I think I’ve ever seen.

One of the reasons that I and so many people love this series is how well it explores neurodiversity. You have this diversity of kinds of intelligences, and they parallel a lot of the different types of neurodiversity we see among humans in the real world. Were you thinking of it this way when you designed this universe?

Well, it taught me about my own neurodiversity. I knew I had problems with anxiety and things like that, but I didn’t know I probably had autism. I didn’t know a lot of other things until writing this particular story and then having people talk to me about it. They’re like, “How did you manage to portray neurodiversity like this?” And I’m thinking, “That’s just how my brain works.This is the way I think people think.” Until Murderbot, I don’t think I realized the extent to which it affects my writing. I have had a lot of people tell me that it helped them work out things about themselves and that it was just nice to see a character who thought and felt a lot of the same things they did.

Do you think science fiction is an especially helpful genre to explore some of these aspects of humanity?

It can be. I don’t know if it always has been.Science fiction is written by people, and the good and bad aspects of their personality go into it. A genre changes as the people who are working in it change. So I think it’s been better lately because we’ve finally gotten some more women and people of color and neurodivergent people and disabled people’s voices being heard now. And it’s made for a lot of really exciting work coming out. Lately, a lot of people are calling it another golden age of science fiction.

When I wrote [the first book in the series], All Systems Red, I put a lot of myself into it. And I think one of the reasons why people identify with a lot of different aspects of it is because I put a lot of genuine emotion into it and I was very specific about the way Murderbot was feeling about certain things and what was going on with it. I think there’s been a fallacy in fiction, particularly genre fiction, that if you make a character very generic, that lets more people identify with it. But that’s actually not true. The more specific someone is about their feelings and their issues and what’s going on with them, the more people can identify with that because of that specificity.



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