Nvidia stock trades lower as Apple focuses on App Store

Key Takeaways

• AI investment is shifting from focusing on hype to demanding real profits and revenue, moving towards AI adopters and infrastructure providers.
• Nvidia's stock lost its 13-year premium valuation, now trading at 19.7 times forward earnings, below the S&P 500's 20.3 times, despite $68.1 billion in revenue for the fiscal year ending January 28.
• Palo Alto Networks launched Prisma AIRS 3.0 to secure agentic AI systems in cloud and SaaS environments, competing with companies like Microsoft.
• Apple is focusing its AI strategy on its App Store and hardware, allowing third-party AI apps, while OpenAI, Google, and Microsoft lead in foundational AI model development.
• DeepSnitch AI, an AI trading utility, raised over $2.6 million in presale and is predicted for a significant rebound.
• CoinDesk is exploring the tokenization of real-world assets to democratize access to institutional-grade investments.
• Traditional data services companies like Microsoft and Thomson can remain resilient against AI disruption due to deeply integrated workflows.
• Individuals can start AI side hustles without technical expertise, including AI-centric content creation and resume optimization.
• Both Micron Technology and TSMC show strong earnings from AI demand, with TSMC holding a more durable competitive advantage in advanced chip manufacturing.
• Investors are increasingly seeking companies with durable demand and a clear role in the maturing AI ecosystem, such as Vertiv and Amphenol.

AI Investing Shifts From Hype to Profit

The artificial intelligence (AI) investment landscape is changing from focusing on hype to demanding real profits. Investors now want companies to show actual revenue and profit margins, not just promises. An AI portfolio that worked a year ago, focused on tech builders like Nvidia and Microsoft, is now shifting. The new focus is on AI adopters, companies using AI to improve their business, and on infrastructure like data centers and cooling systems. Companies like Vertiv and Amphenol are examples of this shift, as they provide essential infrastructure that benefits from AI regardless of which AI platform wins. This change shows the AI trade is maturing, moving towards companies with durable demand and a clear role in the AI ecosystem.

AI Investing Shifts From Hype to Profit

The artificial intelligence (AI) investment landscape is changing from focusing on hype to demanding real profits. Investors now want companies to show actual revenue and profit margins, not just promises. An AI portfolio that worked a year ago, focused on tech builders like Nvidia and Microsoft, is now shifting. The new focus is on AI adopters, companies using AI to improve their business, and on infrastructure like data centers and cooling systems. Companies like Vertiv and Amphenol are examples of this shift, as they provide essential infrastructure that benefits from AI regardless of which AI platform wins. This change shows the AI trade is maturing, moving towards companies with durable demand and a clear role in the AI ecosystem.

AI Investing Shifts From Hype to Profit

The artificial intelligence (AI) investment landscape is changing from focusing on hype to demanding real profits. Investors now want companies to show actual revenue and profit margins, not just promises. An AI portfolio that worked a year ago, focused on tech builders like Nvidia and Microsoft, is now shifting. The new focus is on AI adopters, companies using AI to improve their business, and on infrastructure like data centers and cooling systems. Companies like Vertiv and Amphenol are examples of this shift, as they provide essential infrastructure that benefits from AI regardless of which AI platform wins. This change shows the AI trade is maturing, moving towards companies with durable demand and a clear role in the AI ecosystem.

AI Investing Shifts From Hype to Profit

The artificial intelligence (AI) investment landscape is changing from focusing on hype to demanding real profits. Investors now want companies to show actual revenue and profit margins, not just promises. An AI portfolio that worked a year ago, focused on tech builders like Nvidia and Microsoft, is now shifting. The new focus is on AI adopters, companies using AI to improve their business, and on infrastructure like data centers and cooling systems. Companies like Vertiv and Amphenol are examples of this shift, as they provide essential infrastructure that benefits from AI regardless of which AI platform wins. This change shows the AI trade is maturing, moving towards companies with durable demand and a clear role in the AI ecosystem.

Nvidia Stock Loses Premium Valuation After 13 Years

Nvidia's stock has broken a 13-year pattern of trading at higher valuations than the S&P 500, now priced at 19.7 times forward earnings, just below the S&P 500's 20.3 times. This shift occurs as investors question the sustainability of Nvidia's massive growth amid increasing competition and reinvestment. Despite strong revenue figures, including $68.1 billion for the fiscal year ended Jan. 28, the market is recalibrating expectations. Wall Street price targets remain optimistic, but the stock's recent performance shows a -5.46% return over the last month compared to the S&P 500's -7.41%. This valuation reset reflects a broader market trend where investors are less willing to pay peak multiples for AI stocks, even those with strong growth.

Nvidia Stock Loses Premium Valuation After 13 Years

Nvidia's stock has broken a 13-year pattern of trading at higher valuations than the S&P 500, now priced at 19.7 times forward earnings, just below the S&P 500's 20.3 times. This shift occurs as investors question the sustainability of Nvidia's massive growth amid increasing competition and reinvestment. Despite strong revenue figures, including $68.1 billion for the fiscal year ended Jan. 28, the market is recalibrating expectations. Wall Street price targets remain optimistic, but the stock's recent performance shows a -5.46% return over the last month compared to the S&P 500's -7.41%. This valuation reset reflects a broader market trend where investors are less willing to pay peak multiples for AI stocks, even those with strong growth.

DeepSnitch AI Poised for Rebound After Launch

DeepSnitch AI (DSNT) is predicted to rebound quickly after its launch, despite potential early profit-taking by investors. The AI trading utility aims to help traders by scanning whale movements, identifying sentiment changes, and flagging risks before they hit the headlines. The platform offers tools for seamless decision-making, aiming to make trading less tiresome. DeepSnitch AI has raised over $2.6 million in its presale stages and is currently priced at $0.04669. Analysts predict DSNT could see a 100x return in 2026 due to its utility, ongoing development, and growing adoption.

CoinDesk Discusses AI Tokenization for Investor Access

CoinDesk's GenC series is exploring how emerging investors face access challenges rather than a lack of capital. The discussion, 'AI, Tokenization and Access to Institutional-Grade Investing,' suggests the next major financial shift could come from tokenizing real-world assets. This approach aims to democratize access to investments previously only available to large institutions. By moving digital asset technology beyond speculative trading, it could create a more level playing field for a wider range of investors.

Palo Alto Networks Launches Prisma AIRS 3.0 for Agentic AI Security

Palo Alto Networks has released Prisma AIRS 3.0, a security platform designed for agentic AI systems operating in cloud and SaaS environments. This new platform addresses the security challenges posed by autonomous AI agents, which traditional security tools cannot effectively monitor. Prisma AIRS 3.0 aims to provide visibility into agent behavior where older systems fail, creating a new security category. The company's success depends on whether AIRS 3.0 can become the standard before competitors like Microsoft and CrowdStrike define the market. A key challenge remains establishing governance frameworks for AI agents, defining their authorized actions and data access.

AI Disruption Won't Stop Data Services Stocks

Despite the rise of artificial intelligence, some traditional data services companies can still succeed. Ram Sampath from TD Asset Management believes these 'invisible giants' are resilient. Companies relying solely on proprietary data with basic AI layers face the highest risk of being replaced. However, firms like Microsoft and Thomson benefit from deeply integrated workflows and specialized applications where accuracy is crucial, making them harder for generic AI solutions to displace. The impact of AI will be gradual, and investors should watch how it affects core business functions over the next 10 to 15 years.

Robert Half's AI Innovation Faces Sales Pressure

Robert Half, a global talent solutions firm, was recognized by Fortune as one of America's Most Innovative Companies in March 2026 for its AI-powered tools. This recognition highlights its advanced talent matching and client support capabilities. However, the company is currently facing declining sales and earnings, creating a tension between its technological progress and business challenges. While its AI-enabled platform, led by Danti Chen, Head of Data Science, shows potential for improved efficiency, investors are concerned about the near-term financial performance and the risk of automation impacting its core staffing model.

6 AI Side Hustle Businesses Anyone Can Start

You can start several side hustle businesses using artificial intelligence (AI) without needing technical expertise. These include AI-centric content creation, such as generating background noise for sleep, and creating AI microtools. Another area is resume optimization, where AI can polish resumes and LinkedIn profiles. Experts caution that some AI skills may become common over time, similar to early computer skills. However, these AI-powered businesses offer opportunities for individuals to generate income by leveraging current AI capabilities.

Micron vs TSMC: Which AI Chipmaker Is Better Buy?

Both Micron Technology and Taiwan Semiconductor Manufacturing (TSMC) have shown strong earnings growth driven by AI demand, with positive outlooks for 2026. Micron's stock has surged nearly 300% in the past year, largely due to high demand and pricing for its High Bandwidth Memory (HBM) chips. TSMC, the world's largest contract chip manufacturer, has also seen significant gains, benefiting from demand for advanced chips and its manufacturing technology. While both companies are poised for growth, TSMC's established technological leadership and manufacturing capacity suggest a more durable competitive advantage for long-term investors compared to Micron's position in the more commoditized memory chip market.

Apple Focuses AI on App Store and Hardware

Apple is reportedly concentrating its artificial intelligence (AI) efforts on its App Store and hardware, as rivals like OpenAI, Google, and Microsoft have taken the lead in AI development. Unlike its approach to music or TV, Apple seems to have conceded the race for foundational AI models. The company's strategy may resemble its App Store model, allowing third-party AI applications on its hardware while taking a revenue share. This approach acknowledges AI's role as a potential next-generation operating system, with users increasingly accessing AI through dedicated apps rather than browsers. Apple's focus on hardware and app integration aims to control engagement and monetization within its ecosystem.

Sources

• Your Artificial Intelligence (AI) Portfolio Probably Looks Very Different Than It Did 6 Months Ago. Here's Why That's OK.
• Your Artificial Intelligence (AI) Portfolio Probably Looks Very Different Than It Did 6 Months Ago. Here's Why That's OK.
• Your Artificial Intelligence (AI) Portfolio Probably Looks Very Different Than It Did 6 Months Ago. Here's Why That's OK.
• Your Artificial Intelligence (AI) Portfolio Probably Looks Very Different Than It Did 6 Months Ago. Here's Why That's OK.
• Nvidia stock sends valuation signal for first time in 13 years
• Nvidia stock sends valuation signal for first time in 13 years
• DeepSnitch AI Price Prediction: Here’s Why DSNT Could Be Poised for a Quick Rebound After Early Profit-Taking
• CoinDesk Features Discussion on AI, Tokenization and Access to Institutional-Grade Investing
• Prisma AIRS 3.0: Does Palo Alto Own the Agentic AI Security Stack?
• Can Traditional Data Services Stocks Still Succeed Amid AI Disruption?
• Can Robert Half’s (RHI) AI Recognition Offset Pressure From Weak Sales And Earnings?
• 6 AI Side Hustle Businesses Anyone Can Start
• Micron vs Taiwan Semiconductor Manufacturing: Which AI Chipmaker Is the Better Buy Right Now?
• Apple Centering AI Plans on App Store and Hardware