Meta Tests Shopping Research Feature for AI Chatbot
Written by Emily J. Thompson, Senior Investment Analyst
Updated: Mar 04 2026
0mins
Should l Buy META?
Meta (META) is testing a shopping research feature for its AI chatbot that will allow requests for product suggestions, Natalie Lung of Bloomberg reports. The chatbot will respond to these queries with several product images with information on the brand, website, and price while also providing brief explanations on the recommendations. This tool will rival similar ones offered by OpenAI's ChatGPT and Google's (GOOGL) Gemini.
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Analyst Views on META
Wall Street analysts forecast META stock price to rise
44 Analyst Rating
37 Buy
6 Hold
1 Sell
Strong Buy
Current: 579.230
Low
655.15
Averages
824.71
High
1117
Current: 579.230
Low
655.15
Averages
824.71
High
1117
About META
Meta Platforms, Inc. is building human connections, powered by artificial intelligence and immersive technologies. The Company's products enable people to connect and share with friends and family through mobile devices, personal computers, virtual reality (VR) and mixed reality (MR) headsets, augmented reality (AR), and wearables. It also helps people discover and learn about what is going on in the world around them, enabling people to share their experiences, ideas, photos, videos, and other content with audiences ranging from their closest family members and friends to the public at large. The Company's segments include Family of Apps (FoA) and Reality Labs (RL). FoA segment includes Facebook, Instagram, Messenger, WhatsApp and Threads. RL segment includes its virtual, augmented, and mixed reality related consumer hardware, software and content. Its product offerings in VR include its Meta Quest devices, as well as software and content available through the Meta Horizon Store.
About the author
Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
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- Valuation Strategy: Ackman entered these positions during periods of weak market sentiment, initiating his investment in Alphabet in Q1 2023 at a forward P/E ratio of 16, followed by Amazon in April 2025 at 25, and Meta in Q4 2025 at 20, demonstrating his commitment to value investing.
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- Valuation Strategy: Ackman entered these positions during periods of weak market sentiment, initiating his investment in Alphabet in Q1 2023 at a forward P/E ratio of 16, followed by Amazon in April 2025 at 25, and Meta in Q4 2025 at 20, demonstrating his commitment to value investing.
- Capital Expenditure Plans: In 2026, Alphabet plans to spend $175 billion to $185 billion, while Amazon and Meta are set to invest $200 billion and $115 billion to $135 billion respectively; Ackman believes these investments will drive future earnings growth despite ongoing concerns about returns.
- AI Progress and Market Demand: Ackman praised the AI advancements of these companies, noting that Alphabet's AI Overviews has over 2 billion users, Amazon's cloud services thrive on strong AI demand, and Meta leverages AI to enhance user engagement and advertising effectiveness, showcasing their leadership in technological innovation.
See More
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- AI Strategy Shift: Apple has struck a multi-year deal with Google to utilize Gemini AI for a revamped Siri, which could impact user data privacy as Apple pays around $20 billion annually to maintain Google's default search engine status, necessitating careful management to avoid negative implications for its core business.
- Mixed Market Response: Apple's slow progress in AI updates has raised consumer skepticism, despite plans to launch Apple Intelligence in 2024 with features like image generation and text rewriting, potentially affecting its competitive edge in the market.
- Capital Expenditure Control: Unlike rivals such as Amazon and Microsoft, which are committing hundreds of billions annually to AI infrastructure, Apple has kept its capital expenditures in check, a strategy that reduces short-term risks but places it at a disadvantage in generative AI.
- Privacy and Technology Balance: CEO Tim Cook has emphasized that privacy is a
See More
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- Privacy vs. AI Dilemma: Apple has long championed privacy as a core principle, contrasting sharply with competitors that rely on advertising, but this strategy has placed it at a disadvantage during the initial wave of generative AI, potentially impacting its future competitiveness.
- Partnership with Google: Apple has struck a multi-year deal to utilize Google's Gemini AI technology for a revamped Siri, with Apple reportedly paying around $20 billion annually to Google as the default search engine, raising concerns about user data privacy in this new arrangement.
- Delayed AI Updates: The long-awaited AI update for Siri has faced delays, with Apple promising a launch by year-end, yet mixed consumer responses indicate a lack of competitive edge in the AI space, which could affect the long-term relevance of its products.
- Future of AI Hardware: As AI shifts towards edge computing, Apple is integrating AI-capable chips into its devices, aiming to process user queries locally, which could resolve privacy issues and reshape its market position in the AI era.
See More
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- Market Performance Decline: The Magnificent Seven tech stocks, which have excelled in the market over the past few years, have recently faced declines or stagnation due to concerns about AI revenue opportunities and uncertainties in the economic and geopolitical landscape, impacting investor confidence.
- AI Chip Market Outlook: While Nvidia leads the AI chip market, Taiwan Semiconductor Manufacturing, as its chip manufacturer, is expected to play a significant role in future AI growth due to its diversified product line and broad market demand, thereby expanding its market opportunities.
- Broadcom's Growth Potential: Broadcom forecasts AI chip revenue exceeding $100 billion by 2027, successfully meeting strong customer demand with its custom chips, indicating robust growth potential in the AI sector.
- Nebius's Rapid Growth: Nebius Group excels in the AI cloud services space, achieving annual recurring revenue of $1.25 billion, with expectations to grow to $7 billion to $9 billion this year, showcasing its competitiveness and future growth potential in the rapidly expanding AI market.
See More
Emerging Tech Stars in the Market
- TSMC's AI Potential: Taiwan Semiconductor Manufacturing (TSM), a global leader in chip manufacturing, holds a market cap of $1.8 trillion and is poised to benefit from broad market demand in AI chip production, particularly in smartphones and personal computers over the coming years.
- Broadcom's Custom Chip Advantage: Broadcom (AVGO) forecasts over $100 billion in AI chip revenue by 2027, successfully carving out a niche in the AI market with its custom chips designed for specific tasks, reflecting strong customer demand and market potential.
- Nebius Group's Rapid Growth: Nebius Group (NBIS) focuses on AI workloads, achieving annual recurring revenue of $1.25 billion in the recent year, with expectations to rise to $7 billion to $9 billion this year, showcasing its strong growth potential in the cloud computing sector.
- Market Environment Challenges: Despite concerns about the economy and geopolitical factors affecting the Magnificent Seven tech stocks, emerging companies like TSMC, Broadcom, and Nebius Group demonstrate robust growth potential, positioning themselves as future market leaders.
See More
Future Outlook for the Magnificent Seven Tech Stocks
- Tech Stock Performance Review: The remarkable growth of the S&P 500 over the past few years is partly attributed to the 'Magnificent Seven' tech stocks—Apple, Alphabet, Amazon, Meta Platforms, Microsoft, Nvidia, and Tesla—which have become household names due to their impressive growth.
- AI Market Concerns: Despite their strong past performance, these tech giants have recently faced stagnation or declines in stock prices amid concerns about the artificial intelligence (AI) revenue opportunities and uncertainties in the economic and geopolitical landscape, reflecting market caution regarding future growth.
- Potential Replacement Stocks: In light of the challenges facing the 'Magnificent Seven', Taiwan Semiconductor Manufacturing, Broadcom, and Nebius Group are seen as potential replacements, with TSMC playing a crucial role in AI chip manufacturing and Nebius focusing on AI workloads, indicating strong growth potential.
- Nebius Group Growth Expectations: Nebius Group's annual recurring revenue reached $1.25 billion in the recent year, with expectations to grow to between $7 billion and $9 billion in the coming year, highlighting its strong demand and growth prospects in the AI market.
See More
