nvidia, google and amazon Updates

The artificial intelligence industry is undergoing a significant transformation, marked by a shift towards custom-built chips and a dynamic investment landscape. Nvidia, a leader in the AI chip market with over 70% share, pioneered this trend in 2016 with its DGX-1 deep-learning supercomputer. Now, major tech giants like Google, Amazon, and Microsoft are developing their own specialized processors for AI. Google utilizes Tensor Processing Units, Amazon employs Graviton chips, and Microsoft plans to use its own data center chips. This move away from general processors is creating a substantial investment opportunity, with the AI-specific ASIC market projected to grow by nearly 19% annually until 2032. This demand for robust AI infrastructure, including computational power, data storage, and high-speed networks, is seen as a crucial and often overlooked investment area. In the investment arena, while many AI stocks are highly valued, Alphabet (Google) and Meta Platforms are currently considered attractive bargains among the "Magnificent Seven." Alphabet's Google Cloud revenue surged 34% to $15 billion, with analysts predicting a 20% stock price jump for Google Cloud, which also saw its operating income rise and backlog increase 46% to $155 billion. Alphabet's strong advertising business, bringing in $74.18 billion, helps fund its over $90 billion in capital expenditures this year. Meta Platforms, the least expensive, trades at 24 times forward earnings and has invested heavily in AI, with advertising driving most of its revenue. Comparing other key players, Palantir Technologies has shown impressive growth, returning 152% this year and outperforming Nvidia's recent growth rates. Palantir also beat earnings expectations and raised its guidance. However, Nvidia maintains a much higher per-share profit and a more reasonable valuation despite its massive $4.572 trillion market cap, leading analysts to view it as the safer long-term AI investment. Jefferies recently raised Nvidia's price target to $240 due to strong AI compute demand, boosting revenue forecasts for 2026 and 2027. Advanced Micro Devices (AMD) also stands as a strong competitor in the AI chip market, gaining share with its CPUs and GPUs and investing heavily in AI research. Beyond the tech giants, other companies are navigating the AI space. Recursion, an AI-based drug developer, saw its stock drop after updated data for its cancer drug candidate REC-617 showed little efficacy improvement, though its cash balance improved to $785 million, extending its financial runway through 2027. Its co-founder Chris Gibson will step down as CEO in 2026, with Najat Khan taking over. Meanwhile, Atrium Mortgage Investment Corporation, with ticker AI:CA, received analysis from Stock Traders Daily Canada, which suggests a long-term 'Strong' rating, with specific buy and short targets.

Key Takeaways

• The AI industry is shifting towards custom-built chips (ASICs), with the AI-specific ASIC market projected to grow almost 19% annually until 2032.
• Nvidia pioneered custom AI chips in 2016 with its DGX-1 and remains the leader in the AI chip market with over 70% share.
• Google, Amazon, and Microsoft are developing their own specialized AI chips, including Google's Tensor Processing Units, Amazon's Graviton processors, and Microsoft's planned data center chips.
• Alphabet (Google) and Meta Platforms are considered "bargain" AI stocks, with Alphabet's Google Cloud revenue jumping 34% to $15 billion and Meta trading at 24 times forward earnings.
• Google Cloud's backlog increased 46% to $155 billion, securing over $1 billion deals in 2025 more than the past two years combined.
• Palantir Technologies has seen 152% returns this year and accelerating growth, but Nvidia is considered a safer long-term AI investment due to higher per-share profit and more reasonable valuation.
• Jefferies raised Nvidia's price target to $240 due to strong AI compute demand and boosted revenue forecasts for 2026 and 2027.
• Advanced Micro Devices (AMD) is a strong competitor in the AI chip market, gaining share with its CPUs and GPUs.
• AI infrastructure, encompassing computational power, data storage, and high-speed networks, presents a significant and often overlooked investment opportunity.
• Recursion, an AI-based drug developer, reported a net loss of $162.253 million in Q3, with its CEO stepping down in 2026, while Atrium Mortgage Investment Corporation (AI:CA) received a 'Strong' long-term rating from Stock Traders Daily Canada.

Custom AI Chips Drive New Millionaire Wave

AI data centers now need custom-built chips called ASICs. Nvidia led the way in 2016 with its DGX-1 supercomputer. Companies like Google, Amazon, and Microsoft are now creating their own specialized processors for AI. Google uses Tensor Processing Units, Amazon uses Graviton chips, and Microsoft plans to use its own. This shift is creating a huge investment opportunity, with the ASIC market expected to grow almost 19% annually until 2032.

AI Custom Chips Spark New Investment Boom

The AI industry is changing, moving from general processors to custom-built chips called ASICs. Nvidia started this trend in 2016 with its DGX-1 deep-learning supercomputer. Now, major companies like Google, Amazon, and Microsoft are developing their own specialized AI chips. Google uses Tensor Processing Units, Amazon uses Graviton processors, and Microsoft aims to use its own data center chips. This shift creates a significant investment opportunity, with the AI-specific ASIC market predicted to grow almost 19% annually until 2032.

Specialized AI Chips Drive Future Wealth

The artificial intelligence industry is evolving, with a new focus on custom-built chips known as ASICs. Nvidia pioneered this in 2016 with its DGX-1, a deep-learning supercomputer. Today, companies like Google use Tensor Processing Units, Amazon uses Graviton processors, and Microsoft plans to use its own AI data center chips. This move away from standard processors creates a major investment trend. Experts predict the AI-specific ASIC market will grow by nearly 19% each year through 2032.

Alphabet and Meta AI Stocks Offer Bargain Prices

Two AI stocks, Alphabet and Meta Platforms, are currently considered bargains among the "Magnificent Seven" companies. Alphabet, the second cheapest, saw its Google Cloud revenue jump 34% to 15 billion dollars and Google advertising revenue climb 12% to 74 billion dollars. Meta Platforms, the least expensive, trades at 24 times forward earnings and has invested heavily in AI, with its revenue mostly from advertising. Both companies show strong business fundamentals and AI aspirations, making them attractive investment opportunities despite the high cost of many AI stocks.

Google Cloud Poised for 20 Percent Stock Surge

Alphabet's Google Cloud is a top stock for AI investors, with analysts predicting a 20% price jump. In the third quarter, Google Cloud revenue grew 33% to 15.15 billion dollars, and its operating income rose significantly. The company's backlog increased 46% to 155 billion dollars, securing more than 1 billion dollar deals in 2025 than in the past two years combined. CEO Sundar Pichai emphasizes Google Cloud's unique full-stack AI approach and proprietary models. Alphabet's strong advertising business, which brought in 74.18 billion dollars, helps fund Google Cloud's expansion and its over 90 billion dollars in capital expenditures this year.

Palantir Growth Surges But Nvidia Remains Safer AI Bet

Palantir Technologies shows faster growth and 152% returns this year, outperforming Nvidia's recent growth rates. Palantir also beat earnings expectations and raised its guidance. However, Nvidia has a much higher per-share profit and a more reasonable valuation despite its massive 4.572 trillion dollar market cap. While Palantir is a hot stock, its high premium makes it a riskier, more speculative investment. Analysts suggest Nvidia remains the safer long-term choice for AI investors.

Palantir vs Nvidia Which AI Stock is Best

Palantir Technologies has shown impressive growth, with its stock returning 152% this year and its growth rate accelerating. In contrast, Nvidia's growth rate has been slowing down. However, Nvidia holds a key advantage in its higher per-share profit and a more reasonable valuation compared to Palantir. Despite Palantir's strong performance, its high stock premium makes it a more speculative and risky investment. Experts still view Nvidia as the safer long-term AI stock to own.

Nvidia and AMD AI Stocks Show Growth Potential

Artificial intelligence stocks are driving the market in 2023, a trend expected to continue into 2024. Nvidia and Advanced Micro Devices are two AI chip companies poised for significant growth. Nvidia leads the AI chip market with over 70% share, providing essential GPUs for AI models. AMD is a strong competitor, gaining market share with its CPUs and GPUs, and investing heavily in AI research. While AI investing carries risks, both companies are well-positioned for future success.

Nvidia Price Target Rises Apple Removed From Top List

Jefferies raised Nvidia's price target to 240 dollars due to strong AI compute demand, though it removed the stock from its "Franchise Picks." Nvidia remains the leader in AI accelerators, with Jefferies boosting revenue forecasts for 2026 and 2027. Separately, Evercore ISI removed Apple from its Tactical Outperform list after a strong third-quarter report and positive guidance for the December quarter. Apple reported a 7.9% revenue climb and 15% growth in services, with expectations for double-digit iPhone sales growth. Apple CEO Tim Cook noted strong demand for iPhone 17 models and delays for the iPhone Air in China.

AI Infrastructure Offers Overlooked Investment Opportunity

While many investors focus on AI software, a significant and often overlooked opportunity lies in AI infrastructure. Advanced AI models require massive computational power, data storage, and high-speed networks. Companies that build and maintain this essential hardware and foundational layer are crucial to the entire AI ecosystem. As AI adoption grows across various sectors like healthcare and finance, the demand for robust infrastructure will surge. Investing in these "picks and shovels" providers could be a smart strategy for profiting from the AI boom.

Atrium Mortgage Investment Stock Analysis and Signals

Stock Traders Daily Canada provides analysis and trading signals for Atrium Mortgage Investment Corporation, ticker AI:CA. For long-term trading, the platform suggests buying near 11.13 with a target of 11.54 and a stop loss at 11.07. It also offers a short plan near 11.54, targeting 11.13 with a stop loss at 11.60. As of November 9, the stock's ratings are Neutral for near and mid-term, but Strong for the long term.

Recursion Stock Drops Amid Mixed Data and CEO Change

Recursion's stock fell after updated data for its cancer drug candidate REC-617 showed little improvement in efficacy. The AI-based drug developer also reported a net loss of 162.253 million dollars in the third quarter, though its earnings per share beat analyst expectations. Recursion's cash balance improved to 785 million dollars, extending its financial runway through 2027. Co-founder Chris Gibson will step down as CEO on January 1, 2026, to become board chairman, with Najat Khan taking over as the new CEO. Khan plans to focus on advancing Recursion's AI-based drug pipeline and its ClinTech platform.

Sources

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• (AI) Stock Analysis and Trading Signals (AI:CA) - Stock Traders Daily Canada
• StockWatch: Recursion Slides on Data Update as New CEO Named