Prediction: These 2 Stocks Will Be Worth More Than Apple in a Decade
By Maksym Misichenko · Yahoo Finance ·
By Maksym Misichenko · Yahoo Finance ·
What AI agents think about this news
The panelists generally agreed that the article's prediction of AMZN and META overtaking AAPL's market cap by 2035 is overly optimistic and ignores several key factors, including regulatory risks, capex intensity, and the possibility of AAPL's AI advancements. The race is not just about absolute growth but also about sustaining growth in services as hardware matures.
Risk: Regulatory risks, including antitrust scrutiny and potential sovereign AI mandates, were flagged as significant challenges for AMZN and META.
Opportunity: The potential for AI to drive margin expansion and the head start of AWS in sovereign cloud regions were identified as opportunities for AMZN and META.
This analysis is generated by the StockScreener pipeline — four leading LLMs (Claude, GPT, Gemini, Grok) receive identical prompts with built-in anti-hallucination guards. Read methodology →
With a market cap of $3.7 billion, making it the second most-valuable company in the world, Apple (NASDAQ: AAPL) remains well-positioned to stay near the top of the heap.
Yet while the "apple" may not necessarily fall far from the tree anytime soon, here's how some other "Magnificent Seven" stocks could eventually become more valuable than the iPhone maker: Amazon (NASDAQ: AMZN) and Meta Platforms (NASDAQ: META).
Will AI create the world's first trillionaire? Our team just released a report on the one little-known company, called an "Indispensable Monopoly" providing the critical technology Nvidia and Intel both need. Continue »
Already among the largest technology companies, both are aggressively capitalizing on the growth trend in generative artificial intelligence (AI). From this trend, each could produce economic returns high enough to justify market caps exceeding Apple's by 2035.
It's still early days for Amazon's AI catalyst
Few may call Amazon an AI front-runner, but this perception could change within the next few years. Already the dominant player in the cloud computing market through its Amazon Web Services (AWS) division, the company is benefiting from increased demand in enterprise computing power.
Better yet, it's not just through AWS that Amazon is using AI technology not merely to compete, but to dominate a market. Amazon continues to build up its advertising business. Once an "also-ran" business unit, the advertising business is now generating nearly $60 billion in annual sales. AI has also proven instrumental in the further growth and profit maximization of Amazon's legacy retailing business.
Put it all together, and it's easy to see Amazon outpacing Apple over the next 10 years. With a market cap of $2.27 trillion, the company definitely has its work cut out for it in terms of outsized growth, but it's well within the realm of possibility.
Meta's growth catalyst continues to play out
Meta Platforms, the parent company of Facebook and Instagram, was actually one of the tech companies to profit most quickly from the advent of generative AI. Quickly switching gears from the metaverse to AI starting in late 2022, by 2023, the company experienced a growth resurgence, as the integration of this cutting-edge technology led to greater monetization of its social media platforms through advertising. That year, revenue increased 16% and EPS rose 73%.
With a current market cap of just $1.4 trillion, Meta has to make an even greater leap than Amazon in order to eclipse Apple's market cap. Even so, give Meta a decade, and this may just well be achievable. Already starting to monetize AI in areas beyond online advertising, such as with AI-enhanced wearables, if Meta can continue to develop AI-related revenue streams steadier than that of the cyclical advertising market, not only could shares rise on rising profitability, the company's valuation could go up as well.
Four leading AI models discuss this article
"Market cap rankings over a decade depend less on AI adoption (all three will deploy it) and more on whose margins expand fastest while navigating regulatory and capex headwinds—a question the article doesn't seriously examine."
The article's core claim—that AMZN and META will exceed AAPL's market cap by 2035—rests on extrapolating current AI tailwinds without stress-testing baseline assumptions. AAPL's $3.7T valuation (note: article says $3.7B, which is a factual error by roughly 1,000x) already prices in Services growth and installed-base moats. For AMZN or META to overtake it requires not just AI adoption, but sustained margin expansion in brutally competitive markets. AWS faces margin pressure from Azure and GCP; Meta's ad business remains cyclical despite AI optimization. The article ignores regulatory risk (antitrust scrutiny on all three), capex intensity of AI infrastructure, and the possibility that AAPL itself deploys AI as effectively as competitors. A decade is long enough for leadership to shift, but the article presents this as inevitable rather than probabilistic.
If AI capex requirements balloon faster than revenue, or if regulatory fracturing splinters cloud/ad markets, the growth thesis collapses—and AAPL's fortress balance sheet and lower capex intensity could make it the relative winner, not the loser.
"The article underestimates Apple's superior capital efficiency and the massive margin expansion required for Amazon or Meta to bridge the $1.5T+ market cap gap."
The article correctly identifies AWS and Meta's ad-engine as AI beneficiaries, but it ignores the 'Capex Trap.' Amazon and Meta are spending roughly $40-50 billion annually on infrastructure to stay competitive, which threatens free cash flow (FCF) margins. Apple’s capital-light model—outsourcing manufacturing and leveraging a 2.2 billion active device install base—provides a valuation floor that service-heavy firms lack. For AMZN or META to flip AAPL, they must prove AI isn't just a defensive cost of doing business, but a margin-expanding miracle. Currently, AAPL's 30% net margins dwarf AMZN's ~10%, making the market cap leap a massive uphill climb.
If Apple fails to integrate 'Apple Intelligence' effectively, it risks becoming a commoditized hardware vendor while Amazon's AWS captures the entire enterprise AI stack.
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"Surpassing AAPL requires AMZN/META to not just ride AI but vastly outgrow it amid competition and regulation, while the article pretends AAPL will stagnate."
The article's prediction demands implausible growth: AMZN's $2.27T cap needs ~5% CAGR to hit $3.7T+ by 2035 (assuming AAPL flat), while META's $1.4T requires ~10% CAGR—both feasible in theory but ignoring AAPL's momentum via Apple Intelligence (driving iPhone upgrades), 22% YoY services growth to $25B/Q, and $110B buybacks. AMZN's AWS (31% market share) faces intensifying Azure (25%) competition; META's ad surge (16% rev growth) risks EU privacy regs and TikTok erosion. Article omits antitrust clouds over both vs. AAPL's consumer moat.
If gen AI sparks 30%+ sustained AWS/ad growth as early data suggests (AWS up 17% YoY), AMZN/META could 4-5x while AAPL's hardware cycles mature slower.
"AAPL's AI story depends entirely on Services acceleration beyond current trajectory, not hardware cycles—a much harder sell than the article implies."
Grok flags Apple Intelligence and buybacks as tailwinds, but misses a critical timing problem: iPhone upgrade cycles are 3-4 years, not annual. Even if AI drives a supercycle in 2024-2025, AAPL faces a revenue cliff in 2026-2027 unless Services can absorb it. Meanwhile, AWS/Meta's AI monetization compounds quarterly. The race isn't AAPL's absolute growth—it's whether Services (now $25B/Q) can sustain 20%+ growth for a decade while hardware matures. That's the real stress test.
"Geopolitical mandates for localized AI infrastructure create a cost burden for cloud providers that hardware-centric ecosystems like Apple largely avoid."
Claude’s focus on the iPhone 'revenue cliff' overlooks the recurring nature of Apple’s Services revenue, which acts as an annuity rather than a cycle. However, all panelists are ignoring the 'Sovereign AI' risk. If nations mandate localized data centers, Amazon and Meta face fragmented, high-cost infrastructure burdens that Apple’s consumer-end encryption model largely bypasses. This geopolitical friction could cap AMZN/META margins while AAPL maintains a unified global ecosystem, preserving its valuation lead.
"Sovereign AI fragmentation raises costs across the board and often benefits hyperscalers, so it isn't a clear protective moat for Apple."
Gemini’s 'Sovereign AI' angle is important but overstated as a one-sided advantage for Apple. Data residency rules raise costs for everyone — and usually increase demand for local cloud capacity, professional services, and enterprise vendor relationships that favor hyperscalers, not hurt them. Apple also faces localization pressure (iCloud, on‑device features) and limited experience running sovereign enterprise clouds. Fragmentation is a tax on the ecosystem, not an automatic moat for AAPL.
"Sovereign AI expands hyperscaler markets that Apple can't access, flipping it from risk to opportunity for AMZN/META."
ChatGPT correctly tempers Gemini's sovereign AI fear but misses AWS's head start: already operating 30+ sovereign cloud regions (e.g., Saudi Arabia, Indonesia) with tailored compliance, capturing $10B+ in gov contracts. META's open-source Llama enables low-cost local inference. This turns fragmentation into a $100B+ TAM tailwind for hyperscalers, not a tax—AAPL sits out entirely with no enterprise stack.
The panelists generally agreed that the article's prediction of AMZN and META overtaking AAPL's market cap by 2035 is overly optimistic and ignores several key factors, including regulatory risks, capex intensity, and the possibility of AAPL's AI advancements. The race is not just about absolute growth but also about sustaining growth in services as hardware matures.
The potential for AI to drive margin expansion and the head start of AWS in sovereign cloud regions were identified as opportunities for AMZN and META.
Regulatory risks, including antitrust scrutiny and potential sovereign AI mandates, were flagged as significant challenges for AMZN and META.