What top creators are saying about Amazon.com, Inc.(AMZN)— Page 7

The guest characterizes Amazon as a smaller competitor in the AI model race without a model competing with the leading models discussed. No broader business outlook is provided.

Cited as an example of an asset that gained value over time; no company-specific recommendation or valuation view was offered.

Amazon is supporting the AI buildout, and its Leo satellite service was selected by Delta for a rollout expected in 2028; this is a future initiative rather than current revenue.

Reported up 1% in a market-open snapshot; no durable company-level thesis was offered.

The speaker described selling a full-position Amazon investment to buy an altcoin as one of his worst trades, illustrating the opportunity cost of leaving a business investment for speculation.

Mentioned as able to commit substantial resources to AI, but the discussion provided too little company-specific information to form a stronger investment view.

Amazon is among the largest AI spenders, but the timing and distribution of productivity benefits remain uncertain. The discussion offered no stock recommendation or price target.

AI agents could threaten product discovery and advertising if they direct purchases without users engaging with Amazon's ads; the company has blocked personal agents from making purchases.

Ranked among the most actively traded options.

Amazon was mentioned in connection with cloud-service payments by OpenAI and Anthropic. News about private AI companies could affect public-market stocks linked to them, but no specific valuation case or recommendation was given.

Amazon's restrictions on outside shopping agents could create openings for competing services, but it can change its policies quickly and its retail scale may be difficult for startups to replicate.

The host owns Amazon as a long-term investment and considers its P/E ratio of about 25 not especially high, while acknowledging possible market-correction risk.

Agentic AI could boost infrastructure demand, while AI-led shopping may disrupt its advertising business. Amazon may have time to adapt through agent-to-agent advertising and paid placements; Project Moonraker, shopper data, and in-house chips are potential advantages.

Used as a comparison for how network effects can differ across businesses, not as an investment recommendation.

Upcoming earnings and capital-spending commentary could provide clues about demand for memory and storage products; no stock recommendation was given.

AWS demand and AI-related cloud usage are strong, supported by major investment and custom chips. However, the content is not a recommendation to buy shares and cautions that substantial capital spending and infrastructure bottlenecks may affect returns.

Rhino said he held a meaningful amount of Amazon for the longer term but provided no company-specific thesis or target.

Advertising revenue was cited at about $69 billion in 2025, up 22%, and was described as a high-margin contributor that helps subsidize lower consumer prices. Investors should distinguish advertising, retail, and AWS economics; no valuation or recommendation was given.

Reported hosting demand for Anthropic's Claude models could support cloud infrastructure growth, but the financial impact was not quantified.

The trader said he held a decent amount of Amazon in his longer-term portfolio; no specific price target or recommendation was provided.

Shares declined 0.71%; the author views red markets positively.

Could participate in more than $800 billion of combined hyperscaler spending over the next 12 months, supported by strong AI demand and value creation; company-specific spending and positioning were not detailed.

Galloway said he bought Amazon in 2008–2009 and later benefited from its gains, presenting it as a past winner rather than a current recommendation.

Amazon’s cloud infrastructure is part of Ohio’s data-center buildout. Community and policy constraints are potential risks, but their business impact is not quantified.

The speaker said the trade was in profit and expected Amazon to continue toward new highs, citing strength in the Magnificent Seven.

The guest viewed support near $245 as constructive and saw potential for a move toward $270–$275 ahead of earnings, while noting earnings uncertainty.

Amazon was up 3.5% over seven days, with no company-specific investment thesis provided.

Amazon is a major cloud provider and participant in AI compute commitments, while also securing power for data centers; substantial infrastructure spending and competition remain considerations.

Amazon Web Services is discussed as an existing source of cloud capacity whose ability to meet future AI-computing demand is uncertain.

Amazon is an Anthropic investor and computing supplier, and its cloud marketplace contributes to Anthropic's distribution. The discussion identified this exposure but offered no specific financial-impact assessment or stock forecast.

The speaker is holding Amazon and describes it as a potential trade opportunity, without stating a price target.

Creator content can support sales on Amazon, and AI-driven shopping may create new commerce opportunities, though the channel remains early.

Mentioned through Zoox as a potential autonomous-vehicle competitor to Uber; no direct investment view on Amazon was provided.

Data-center expansion supports its AI infrastructure opportunity, while community opposition, proposed moratoriums, and criticism of its communications could hinder projects.

The guest selected Amazon as a large-cap technology holding for 2027 and described it as exposure to companies serving the AI ecosystem.

The speaker recalled correctly predicting Amazon's acquisition of Whole Foods; this was a retrospective anecdote, not a forward-looking recommendation.

Used as a historical comparison: the speaker notes Amazon's severe post-dot-com decline and later recovery, not as a stock recommendation.

Discussed as a major AI infrastructure provider and potential supporter of AI businesses, with Prime Day cited as a possible near-term catalyst.

AWS was discussed as a hyperscaler that buys GPUs and makes compute available through cloud services. Monitor AI capital expenditure, free cash flow, and returns on compute capacity; no valuation or price target was provided.

AI agents could become a new shopping interface but may threaten Amazon's control over customer relationships and commerce. The discussion identified platform access as an issue to monitor, without offering a specific recommendation.

Cited as a hyperscaler that built and rented GPU capacity. AI-related capital expenditure may pressure free cash flow; monitor whether capacity investments generate adequate returns.

Mentioned in an anecdote about an AI-agent-suggested earnings-options trade that returned about 40%; no current recommendation or outlook was offered.

The speaker said the position had moved into profit and that they were scaling into the trade.

A guest described a personal options-spread trade around Amazon earnings that gained about 40% and outperformed buying shares over that period. It was presented as an anecdote, not a recommendation.

Cited as a major driver of U.S. growth through AI-related capital spending; the broader AI investment cycle supports its outlook, though spending growth and returns face cost and infrastructure constraints.

Included among large technology companies favored for AI exposure, though the speaker notes that major firms may increasingly compete for the same markets.

Amazon is used as an analogy for long-term investing: investors who held through difficult periods could have benefited over a longer horizon. This is not a specific recommendation to buy the stock.

AWS committed $410 million in compute to Recursive, providing exposure to AI infrastructure demand. The discussion offered no stock valuation or recommendation.

AWS was reported to provide $410 million in compute to Recursive Ventures. The episode links AI growth to cloud and data-center demand but offers no company-specific valuation or recommendation.

AWS was mentioned as a cloud provider over which Replit aims to offer enterprises deployment flexibility. No company-specific investment view was stated.