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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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KentuckianaWorks addresses concerns about jobs and AI

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LOUISVILLE, Ky. — While tech CEOs have made claims about the potential artificial intelligence has to wipe out parts of the workforce, Sarah Ehresman, director of labor market intelligence for KentuckianaWorks, said she thinks those concerns are overblown.


What You Need To Know

  • Generative AI has been used more and more in recent years to help workers in their professional life
  • When it comes to jobs, Sarah Ehresman of KentuckianaWorks said many still need a human element, as AI is imperfect
  • Data shows around one-third of Jefferson County’s workforce could see half or more of their tasks affected by AI


“We don’t have to fear this apocalypse of everyone losing their jobs,” Ehresman said. “It should not be something that we totally run away from.”

Generative AI has been used more and more in recent years to help workers in their professional life, with many hoping to improve their speed and efficiency. 

Ehresman said she also uses AI in her daily work life to write, edit and even code. She’s able to complete a task with the help of AI within seconds. 

“I mean, something like this could potentially take you a whole day to figure out, but still, definitely not two minutes,” she said. “I don’t have to spend much time doing it. But I am able to review the code and make sure it’s accurate and that I’m getting the results that I expect.”

As for fears of being replaced by technology when it comes to some jobs, Ehresman said a human element is still necessary because AI is imperfect. 

“You know, artificial intelligence is known to hallucinate, produce bad results; it’s not perfect,” she said. “That’s where the human capabilities still matter a lot, to make sure that the results are what you would expect it to be.”

Whether people fear it or rely on it, Ehresman said AI is here to stay and should be embraced.     

“The best thing that workers can do at this point is really figure out how to work with the technology, not run away from it because they fear that it might replace them, but figure out how to use it in an effective way to make them more productive,” Ehresman said.

According to Brookings data, it is estimated that approximately 34% of Jefferson County’s workers could see half or more of their tasks affected by the use of artificial intelligence, which is a lower rate compared to coastal tech hubs.



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Leading Is Emotionally Draining. Here’s How to Recover.

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Take the time to reflect, reframe, and restore.



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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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5) SWOT analysis, PEST analysis, and Porter’s five force analysis

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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Key Benefits for Stakeholders:

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⏩ In-depth analysis, as well as the market size and segmentation, help you identify current Artificial Intelligence (AI) In Beauty and Cosmetics Market opportunities.

⏩ The largest countries in each region are mapped according to their revenue contribution to the market.

⏩ The Artificial Intelligence (AI) In Beauty and Cosmetics Market research report gives a thorough analysis of the current status of the Artificial Intelligence (AI) In Beauty and Cosmetics Market’s major players.

Key questions answered in the report:

➧ What will the market development pace of the Artificial Intelligence (AI) In Beauty and Cosmetics Market?

➧ What are the key factors driving the Artificial Intelligence (AI) In Beauty and Cosmetics Market?

➧ Who are the key manufacturers in the market space?

➧ What are the market openings, market hazards,s and market outline of the Artificial Intelligence (AI) In Beauty and Cosmetics Market?

➧ What are the sales, revenue, and price analysis of the top manufacturers of the Artificial Intelligence (AI) In Beauty and Cosmetics Market?

➧ Who are the distributors, traders, and dealers of Artificial Intelligence (AI) In Beauty and Cosmetics Market?

➧ What are the market opportunities and threats faced by the vendors in the Artificial Intelligence (AI) In Beauty and Cosmetics Market?

➧ What are deals, income, and value examination by types and utilizations of the Artificial Intelligence (AI) In Beauty and Cosmetics Market?

➧ What are deals, income, and value examination by areas of enterprises in the Artificial Intelligence (AI) In Beauty and Cosmetics Market?

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Reasons To Buy The Artificial Intelligence (AI) In Beauty and Cosmetics Market Report:

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➼ Historical and future market research in terms of size, share growth, volume, and sales.

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➼ Emerging key segments and regions

➼ Key business strategies by major market players and their key methods

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Contact Us:

Mr. Anurag Tiwari

Email: anurag@omrglobal.com

Contact no: +91 780-304-0404

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About Orion Market Research

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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