By Maksym Misichenko · Nasdaq ·
What AI agents think about this news
The panelists have mixed views on Amazon's prospects. While some highlight its dual-engine growth, AI potential, and favorable valuation, others question the sustainability of growth, the risks of capex, and the competitive advantages of its chip business and AI framework.
Risk: The sustainability of AWS growth and the risks associated with the $200B capex cycle, including potential idle capacity and pressure on free cash flow if demand slows or pricing in cloud tightens.
Opportunity: The potential for AI to boost e-commerce margins via robotics and logistics leverage, and the possibility of a favorable multiple expansion if growth sustains.
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 →
Amazon has a big opportunity with its cloud computing and chip businesses.
Meanwhile, the company's e-commerce business is underappreciated.
The goal of many investors is to beat the market, which is typically represented by the S&P 500 index. To do that, you need to find stocks that will outperform the S&P 500.
One stock I think is well positioned to do that this year is Amazon (NASDAQ: AMZN). The stock has been a laggard the past few years but has recently started to regain its momentum. Let's look at the reasons why the stock looks poised to be an outperformer this year.
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One of the big knocks on Amazon has been that its two big cloud computing competitors, Microsoft and Alphabet, have seen much faster cloud revenue growth. This is true, but Amazon has the larger base, and now revenue at Amazon Web Services (AWS) is starting to accelerate.
The company demonstrated that once again in the first quarter when AWS revenue climbed 28% to $37.6 billion. It was its fastest growth in nearly four years (15 quarters) and a nice step up from the 24% growth it produced in Q4 and the 20% growth it saw in Q3.
With partnerships locked up with Anthropic and more recently OpenAI, and the company set to spend $200 billion on capital expenditures (capex) this year to add capacity to meet surging demand, expect AWS growth to continue to accelerate throughout the year.
Data center spending is set to continue to soar in the coming year, and as a result, artificial intelligence (AI) infrastructure stocks are among the hottest on Wall Street. While Amazon's chip business has often been overlooked in the past, it is now suddenly getting a lot more investor attention.
The company recently said its chips business was a $20 billion annual run-rate business and would be around $50 billion when taking into account internal usage. While its internal usage doesn't count toward sales, it helps give it more bang for its buck when it comes to its capex compute spending and helps save it billions of dollars on inference costs.
Meanwhile, it built an entire data center dedicated to Anthropic using its Trainium chips. Amazon is starting to see solid momentum with its chips, and investors are starting to give the company credit for the cost advantage this business gives it.
In addition, Amazon also has a very large custom central processing unit (CPU) business with its Graviton chip. With CPUs looking like the next big AI infrastructure bottleneck due to the rise of agentic AI, Amazon is in a good position to benefit from this trend as well.
With CPU to graphics processing unit (GPU) ratios moving from a 1:8 ratio to a 1:1 ratio due to the rise of agentic AI, Amazon is well positioned on the hardware front to benefit from agentic AI. It is also in good shape on the platform side, especially after teaming up with OpenAI on its Amazon BedRock Managed Agents platform that lets customers build AI agents using OpenAI foundational models within AWS.
The company is also positioning its e-commerce site to be a leading platform for agentic commerce. It's developed its own agentic commerce protocol -- model context protocol (MCP) – to help AI agents interact with retail systems for pricing, inventory, and fulfillment. It also has tools to allow AI to act on behalf of customers when buying.
While AWS gets much of the press nowadays, Amazon's e-commerce business continues to hum along with solid sales growth. What is most impressive and underappreciated with its e-commerce operations, though, is that Amazon is driving huge efficiency gains through the use of robotics and AI, which is leading to huge operating leverage where profitability growth greatly outpaces revenue growth.
If investors ever catch on that Amazon is one of the world's great robotics companies, watch out. Meanwhile, opening up its logistics network adds another growth driver to this business.
Amazon has a lot of great things going on, yet the stock is attractively valued both from a historical perspective and relative to its brick-and-mortar peers Walmart and Costco, which both trade at over 40 times forward price-to-earnings (P/Es) ratios. Trading at only a forward P/E of 32 times, Amazon has a lot of room to continue to run this year through both growth and multiple expansion, which sets it up to outperform the S&P 500 in 2026.
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Geoffrey Seiler has positions in Alphabet and Amazon. The Motley Fool has positions in and recommends Alphabet, Amazon, Costco Wholesale, Microsoft, and Walmart. The Motley Fool has a disclosure policy.
The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.
Four leading AI models discuss this article
"Amazon's valuation gap relative to its retail peers ignores the superior margin profile and compounding growth of its AWS-AI ecosystem."
Amazon is currently executing a rare 'dual-engine' acceleration. AWS is successfully pivoting from a pure infrastructure provider to an AI-agent ecosystem, while the retail segment is undergoing a structural margin expansion through robotics-driven fulfillment. Trading at ~32x forward P/E, Amazon is significantly cheaper than the 40x+ multiples commanded by Walmart or Costco, yet it possesses a higher-margin software tailwind. The $200B capex cycle is aggressive, but it creates a massive moat against smaller cloud players. If operating margins continue to expand as they have in recent quarters, we are looking at a clear path for EPS growth to outpace the broader S&P 500, justifying a valuation re-rating toward 38x-40x.
The massive $200 billion capex commitment creates significant free cash flow risk if AI demand fails to translate into immediate enterprise software revenue, potentially leading to a margin squeeze and a sharp valuation contraction.
"AWS re-acceleration to 28% growth plus chip efficiencies make AMZN's 32x forward P/E a multiple expansion setup versus S&P 500."
AWS revenue jumping 28% to $37.6B marks the fastest growth in 15 quarters, outpacing prior 20-24% rates, fueled by Anthropic/OpenAI partnerships and $200B capex for capacity—critical as data center spend surges. Trainium/Graviton chips at $20B external + $30B internal run-rate deliver inference cost savings and position Amazon for agentic AI's CPU bottlenecks (1:1 CPU/GPU shift). E-commerce robotics unlock leverage, with NA margins expanding faster than sales. At 32x forward P/E vs. WMT/COST's 40x+, room for expansion if growth sustains, beating S&P 500.
That $200B capex could backfire into massive overcapacity if AI hype cools or demand growth normalizes below 25%, pressuring free cash flow like past cloud cycles. E-commerce faces intensifying China competition (Temu/Shein) and potential tariffs eroding margins.
"AWS acceleration is real but already partially reflected in valuation; the outperformance case hinges entirely on chips becoming a material revenue driver and multiple expansion, neither of which is certain."
The article conflates multiple growth narratives without stress-testing unit economics or competitive moats. AWS at 28% YoY growth is respectable but trails Azure (29-31%) and Google Cloud (26-27%) — Amazon's scale advantage is real but not a guarantee of margin expansion. The chips business ($20B run-rate, $50B with internal use) is speculative; Trainium/Graviton adoption remains unproven at scale against Nvidia's entrenched ecosystem. E-commerce robotics efficiency is genuine but already priced into margins. The 32x forward P/E valuation assumes multiple expansion AND sustained growth — a two-variable bet with execution risk on both.
If AWS growth decelerates back to low-20s (historical norm) and chip adoption stalls due to customer lock-in with Nvidia, AMZN's multiple could compress toward 25x despite margin gains, underperforming the S&P 500 despite solid fundamentals.
"Sustained AWS growth plus AI‑driven cost advantages can lift margins and justify a higher multiple, enabling AMZN to outperform the S&P 500."
The article makes a bullish, multi‑path case for AMZN: accelerating AWS growth, a robust chip stack (Trainium, Graviton) and an emerging agentic AI framework that could boost e‑commerce margins via robotics and logistics leverage. It also argues for a favorable multiple and a large capex runway as proof points. Key omissions: AWS growth upside is not guaranteed after a 28% YoY print, and capex of ~$200B pressures free cash flow if demand slows or pricing in cloud tightens. Regulatory, labor and energy costs add risk, and the AI hardware cycle may take longer to monetize than expected. Valuation remains rich if growth falters.
AWS growth could decelerate or cloud pricing pressure squeeze margins; AI hardware monetization may lag, and the long, heavy capex path could curb free cash flow, compressing AMZN's multiple.
"Amazon's internal retail demand provides a unique utilization floor for their proprietary AI hardware that competitors lack."
Claude, you’re right to highlight the Azure/GCP growth comparison, but you’re overlooking the 'Amazon tax'—the retail segment’s massive, captive internal cloud demand. By using their own Graviton/Trainium chips for internal retail workloads, Amazon is effectively subsidizing their R&D and chip-scale economics in a way Microsoft and Google cannot. This internal demand acts as a floor for utilization rates, de-risking the $200B capex cycle far more effectively than external enterprise demand alone.
"Retail's internal cloud demand is too small to de-risk the $200B capex cycle meaningfully."
Gemini, your 'Amazon tax' overlooks scale: retail's internal AWS usage is ~$5-10B annually (est. 5-10% of total AWS), a drop against $200B capex needing 70%+ utilization for profitability. Enterprise Nvidia CUDA lock-in persists—Trainium adoption lags without equivalent software tools, risking idle capacity even with internal floor.
"Internal retail demand's true value isn't absolute capex ROI but preventing idle chip capacity—a risk-reduction mechanism Grok underweights."
Grok's $5-10B internal demand estimate needs scrutiny. Retail's actual AWS footprint—including marketplace infrastructure, logistics optimization, advertising stack, and real-time inventory systems—likely runs 15-20% of total AWS revenue, not 5-10%. That's $5.6-7.5B annually, but more critically, it's *incremental* margin on chips that would otherwise require external capex. Gemini's floor argument holds if internal utilization prevents stranded capacity; Grok conflates absolute capex profitability with marginal chip economics.
"Internal demand cannot be relied on as a durable moat; software monetization and external demand are the real keys to sustaining margins on a massive capex cycle."
Responding to Gemini: the idea of an 'Amazon tax' as a floor assumes internal AWS usage reliably fills 70%+ of capacity and shields margins—but that's a fragile proposition. If AI demand softens or external customers retreat on pricing, internal demand may still leave idle capacity or cannibalize external ROIC. The moat hinges on software-enabled monetization, not just capex. A 200B build-out remains riskier without clear, scalable external demand.
The panelists have mixed views on Amazon's prospects. While some highlight its dual-engine growth, AI potential, and favorable valuation, others question the sustainability of growth, the risks of capex, and the competitive advantages of its chip business and AI framework.
The potential for AI to boost e-commerce margins via robotics and logistics leverage, and the possibility of a favorable multiple expansion if growth sustains.
The sustainability of AWS growth and the risks associated with the $200B capex cycle, including potential idle capacity and pressure on free cash flow if demand slows or pricing in cloud tightens.