To The Moon

From Mag 7 to 'Mag 10': The New AI Playbook

Wall Street's most influential stock portfolio, the "Magnificent 7," is facing a redefinition as investors search for a new cohort that more fully reflects the beneficiaries of the AI revolution.

Several new concepts are emerging to capture the true winners of AI. Signaling a shift beyond the original seven, Cboe Global Markets announced earlier this month the launch of futures and options based on its new Cboe Magnificent 10 Index.

This "Magnificent 10" index includes the original seven—Nvidia, Microsoft, Apple, Alphabet, Amazon, and Meta Platforms —plus Broadcom , Palantir , and Advanced Micro Devices. The exchange cited criteria such as "liquidity, market cap, trading volume, and leadership in areas like artificial intelligence and digital transformation" for the selection.

The Cboe's move is a clear signal to "widen the AI basket." Adding Broadcom, Palantir, and AMD reflects a growing market consensus: the primary beneficiaries of the AI wave extend beyond the original giants. The future of AI investing will inevitably spill over from the Magnificent Seven into the broader ecosystem of AI infrastructure—compute, networking, storage, cooling, and cloud—and AI-native software.

This analysis will delve into the recent dynamics of the "Magnificent 10" components and explore Wall Street's outlook. Year-to-date, the performance of this new ten-stock index has already far outpaced the Nasdaq.

So, how are these ten companies performing, and what is Wall Street’s forecast? Let's break it down.

$NVIDIA (NVDA.US)$ : The "Central Bank" of AI

On September 27, a deep-dive report from The Information detailed the unique role Nvidia and its CEO Jensen Huang play in the AI economy, revealing how the company has become a "government-like" entity through massive investments and strategic positioning.

In September alone, Nvidia completed several major deals: an agreement to acquire all of $CoreWeave (CRWV.US)$ 's unsold GPUs over seven years in a deal potentially worth $6.3 billion; a $700 million investment in UK data center startup Nscale; over $900 million to hire the CEO and engineers from networking startup Enfabrica and license its tech; and a $5 billion purchase of a 4% stake in embattled chipmaker Intel. Most notably, Nvidia expressed its intent to invest up to $100 billion in OpenAI over the next few years.

Wall Street analysts are overwhelmingly positive about the potential OpenAI investment, viewing it as a strategic masterstroke that could yield significant returns and cement Nvidia's market dominance. Following the news, Bank of America reiterated its "Buy" rating and a $215 price target, suggesting the investment could generate up to $500 billion in returns.

Wedbush believes the AI revolution is entering a new growth phase, arguing the Nvidia-OpenAI deal shows the build-out is not slowing down. The firm raised its price target to $210.

$Microsoft (MSFT.US)$ : From Software Giant to AI Infrastructure King

As the world's second company to surpass a $4 trillion market cap after Nvidia, Microsoft has transformed into an AI infrastructure powerhouse this year, aggressively expanding its data center footprint.

On September 18, Microsoft announced that its new $3.3 billion data center in Wisconsin—billed as the "world's most powerful AI data center"—will go live in early 2026. The company plans an additional $4 billion investment for a second facility of the same scale in the state, bringing its total Wisconsin investment to over $7 billion.

"The Wisconsin project is part of a wave of AI infrastructure investments we are making globally," said Scott Guthrie, EVP of Cloud + AI at Microsoft. "We have multiple identical 'Fairwater' data centers under construction across the United States."

Furthermore, Microsoft is tackling one of the industry's biggest physical bottlenecks—chip power consumption and heat—with a breakthrough cooling technology that "etches" coolant channels directly into the chip. Experimental data shows stunning results: up to three times the cooling efficiency of mainstream cold plates and a 65% reduction in GPU temperature rise. In theory, this would allow data centers to safely "overclock" hardware to handle peak compute loads, boosting efficiency and sustainability. However, Morgan Stanley notes that the technology still faces challenges in reliability, design integration, and serviceability, suggesting widespread adoption is still some time away.

Citi recently named Microsoft its top mega-cap pick, raising its price target to $680 (a 43x forward P/E) on a "Buy" rating, citing the company's leadership in generative AI and accelerating revenue and profit growth.

$Apple (AAPL.US)$ : The AI Main Course Is Still Being Prepared

Strong initial demand for the iPhone 17, evidenced by extended shipping times, has ignited market enthusiasm and sent Apple's stock to a new high for 2025.

Bank of America analyst Wamsi Mohan observed that longer delivery windows for the iPhone 17 compared to last year's model indicate that demand is outstripping initial supply. This provides a powerful tailwind for Apple as it seeks to regain momentum in the competitive smartphone market.

Wedbush analyst Dan Ives called the robust demand in China a positive signal, dubbing the region a "key linchpin" for the iPhone 17 upgrade cycle. Seeing this as the restart of a major upgrade cycle, Wedbush raised its price target to $310, implying 21% upside. Strong iPhone demand expands the installed base, driving growth in the high-margin Services business.

Beyond the iPhone, a recent newsletter from industry insider Mark Gurman revealed Apple's product roadmap for the coming months. A new iPad Pro and an upgraded Vision Pro are expected in October, while next-gen MacBook Pro and MacBook Air models have entered mass production. Looking ahead to next year, an iPhone 17e, a new entry-level iPad, and an iPad Air are also on the schedule.

Of course, Apple's AI ambitions are still simmering. Sources claim Apple has developed a ChatGPT-like iPhone app internally to test a major Siri overhaul slated for next year. The industry expects AI features to become a critical battleground and a key factor in consumer choice. In addition to a Siri revamp, Apple is reportedly developing a range of AI-powered smart home devices and exploring a move into AI search.

In short, the iPhone 17 launch is just the prelude. Apple's true showcase of its technological prowess and market strategy is set to unfold in the coming months.

$Alphabet-C (GOOG.US)$ : Poised to Be the AI Era's Biggest Winner

Alphabet's stock has surged this year, briefly crossing the significant $3 trillion market cap threshold.

In a recent report, analysts at MoffettNathanson argued that Alphabet, not Nvidia, should be the world's most valuable company. Their rationale rests on dissipating regulatory risks, powerful AI momentum, and multiple growth engines across its business. Nathanson points to four areas where AI will allow Google to excel: leadership in multi-modal search, accelerated cloud growth, enhanced YouTube monetization, and the rise of its autonomous vehicle unit, Waymo.

Furthermore, concerns over the U.S. antitrust investigation and ChatGPT's perceived lead have largely subsided. It now appears that AI chatbots will expand the use cases for search rather than cannibalize the traditional market, thus preserving Google's dominance. The firm also noted the growing popularity of the Gemini model, with the latest version, Gemini 2.5, topping benchmarks in multiple categories.

Separately, Morgan Stanley maintained its "Overweight" rating and a $210 price target. The bank is focused on three core themes: AI-driven search growth, potential shifts in commercial user behavior, and Google Cloud (GCP) growth. The report suggests innovations like AI Overviews could accelerate search revenue growth to 12% in the second half of 2025. In its cloud business, Google's Gemini models and TPU chips are seen as key growth drivers. Morgan Stanley believes the market has not fully priced in Google's advantage in custom silicon, presenting a potential upside catalyst.

$Amazon (AMZN.US)$ : The Undervalued Tech Giant

While Amazon's star has seemed to dim slightly in the AI race, the market consensus is that the AI growth potential of Amazon Web Services (AWS) is severely underestimated.

A recent Barclays report shows that Anthropic's deep partnership with AWS is providing a significant growth engine for the cloud giant, but the market has yet to fully appreciate this AI-driven potential. If AWS maintains its training workload with Anthropic, the firm could see above-consensus revenue growth in the fourth quarter. The report estimates Anthropic will contribute about $1.6 billion in inference revenue to AWS in 2025.

Morgan Stanley has named Amazon its top pick among large-cap tech stocks with a $300 price target. The bullish thesis rests on two pillars: the re-acceleration of AWS and continued margin improvement in its North American retail business. The bank's analysis of AWS's data center build-out projects a physical foundation for over 20% revenue growth in 2026, above its current 19% forecast. In retail, the report notes significant room for margin improvement, meaning its 2026/2027 EPS forecasts could see further upside.

$Meta Platforms (META.US)$ : AI Ambitions Beyond the Metaverse

Last week, Meta announced Code World Model, an LLM exploring how world models can improve AI code generation. The company's new super-intelligence AI lab is collaborating with its robotics team to build a "world model" that simulates real-world physics, aiming to give robots the spatial awareness and fine motor skills they currently lack.

Morgan Stanley maintains an "Overweight" rating and an $850 price target on Meta. The firm believes investors should focus on improvements to its core platform, the upcoming release of the next-gen Llama model, and several underpriced "call options." The report states that Meta has significant room to enhance user engagement and monetization by leveraging GPUs in its core advertising business.

Furthermore, new ventures like Meta AI search and Business Messaging are seen as major long-term growth drivers. Morgan Stanley estimates that Meta AI search alone could generate approximately $22 billion in annual revenue by 2028.

$Broadcom (AVGO.US)$ : The Stealth AI Chip Titan

Chip giant Broadcom is placing artificial intelligence at the core of its strategic roadmap.

According to a Goldman Sachs report, President and CEO Hock Tan stated at a recent conference that meeting the custom AI compute needs of specific clients is the company's top priority. He projects that within two years, AI-related revenue will surpass the combined revenue of its software and other non-AI businesses. This marks a pivotal shift, transforming AI from a high-growth unit into the absolute core pillar of the entire company. The firm's long-term plan sets a target of $120 billion in annual AI revenue by fiscal year 2030—a six-fold increase from Goldman's $20 billion forecast for fiscal 2025.

Beyond compute chips, Tan emphasized the growth potential of AI networking. He believes Ethernet, a mature and proven technology, will play an increasingly vital role. Macquarie analysts expressed confidence in Broadcom's long-term potential, rating it "Outperform" with a $420 price target. They argue Broadcom deserves a premium valuation due to its near-monopoly in AI ASICs and cloud networking solutions.

$Tesla (TSLA.US)$ : The Trillion-Dollar AI & Autonomy Opportunity

Tesla has faced multiple headwinds this year, causing its stock to lag its Magnificent Seven peers. However, the stock has rebounded significantly and is now up about 9% year-to-date.

Wedbush recently made a significant upward revision to its Tesla price target, maintaining its "Outperform" rating. The firm believes Tesla is on a faster track in its AI development, raising its price target from $500 to $600. The analysts stressed that advancements in autonomous driving and robotics are "do or die" for the company's future, representing at least a $1 trillion opportunity. In a bull case scenario, Wedbush sees a path to a $2 trillion valuation by early 2026 and potentially $3 trillion by the end of 2026 as these projects scale. While the upcoming Q3 delivery report is a near-term catalyst, UBS notes that the primary driver of the stock is the broader AI narrative, not its core auto business.

$Palantir (PLTR.US)$ : The Premier AI Application Play

Despite challenges related to its high valuation, Palantir has soared 135% year-to-date, earning its title as the top AI application stock.

Bank of America recently raised its price target to $215, forecasting significant upside. The firm points to Palantir's "secret weapon": its AI Forward-Deployed Engineers (FDEs), which represent its agentic AI technology. BofA believes this agentic AI will accelerate growth by driving demand for Palantir's operating system, boosting internal productivity, and enabling the creation of new use cases. These trends, the bank estimates, could help Palantir's commercial sales surpass $10 billion by the end of 2030.

$Advanced Micro Devices (AMD.US)$ : A Star on the AI Compute Track

After a challenging couple of years, AMD has doubled from its April lows.

Truist Securities notes that some hyperscale clients focused on AI infrastructure are now seriously considering a modest shift from Nvidia to AMD to gain cost and performance advantages. Furthermore, the launch of its new MI400 chip has prompted price target increases from firms like Piper Sandler, who see the new products driving a recovery in its GPU business starting in the second half of 2025. The market also anticipates that as more AI workloads shift to inference, where efficiency and cost are paramount, AMD could benefit.

However, investors should watch a key risk: Nvidia's recent partnership with Intel. With AMD challenging Intel in CPUs and Nvidia in GPUs, the alliance of its two main competitors could make its path forward more difficult.

Conclusion

The AI ecosystem is entering a more competitive era. The list of beneficiaries is expanding to include power utilities and other infrastructure players like $Arista Networks (ANET.US)$ and storage companies $Micron Technology (MU.US)$ and $Western Digital (WDC.US)$ .

As this evolution unfolds, Fidelity's Jurrien Timmer warns that the leaders of the AI boom could become expensive and their growth may no longer justify their valuations, leading to cracks in the market. The danger of a concentrated market is the potential for disruptive change when the leaders fall out of favor. "I’m not losing sleep over valuations just yet," Timmer noted, "but it is impossible to say whether the end of the Mag 7 era will be a gentle rotation or a violent crash."

@TigerStars  @CaptainTiger  @TigerWire  @Daily_Discussion  @Tiger_chat  @Tiger_comments  @MillionaireTiger