What top creators are saying about Amazon.com, Inc.(AMZN)— Page 3

Relatively resilient during the sell-off; AWS growth supports the long-term case, though heavy AI spending and borrowing may weigh on the stock.

Predicted to be a market leader over the next 6–12 months

Amazon's capacity was described as fully committed into 2027–2028, indicating strong demand for compute, though the transcript gave no valuation or direct recommendation.

AWS growth is accelerating, but missed revenue and earnings forecasts, negative cash flow, and heavy AI investment raise near-term concerns about profitability and funding.

AWS was cited as an example of a platform that can attract startups and grow with them; the discussion was illustrative and offered no specific view on Amazon's stock or expected returns.

Anthropic reportedly disclosed a $110 billion contract with Amazon for future compute commitments. The discussion provides no details on revenue recognition, timing, or financial impact, and says the contract alone is not a reason to buy.

The post predicts an earnings beat but expresses fear and provides no further investment details.

Rebounded after a 10% knee-jerk drop; the author believes the decline may not hold and expects the stock could finish positive the next day. The quarter was described as pretty good in important areas.

The speaker was bearish overall, citing weak retail growth, heavy capital spending, negative free cash flow, and rising net debt despite strong AWS growth. The $140 estimate was a rough model output, not a formal price target.

The author favors holding Amazon ahead of earnings and expects the shares to finish green or only slightly down, rather than near the overnight 8% drop; the post reports buying 325.78% more shares.

The speaker appears to suggest sales or demand are not especially strong, though the precise meaning is unclear.

Amazon was described as sitting on support and later bouncing, but the host said to be cautious near $242 or consider exiting a trade.

AWS growth is strong, with management expecting growth above 40% in 2027 and 2028, but weaker guidance, negative free cash flow, and heavy infrastructure spending create significant risks. The host considered the sell-off potentially excessive but did not identify a reliable bottom.

Amazon was among technology and growth stocks under pressure amid uncertainty about AI spending and valuations.

Amazon was used as an example of a company that might create more shareholder value by reinvesting profits for growth rather than returning all capital through buybacks; no company-specific forecast was provided.

Amazon was identified as a potential beneficiary of AI investment because large companies can fund substantial infrastructure spending; no specific recommendation or price target was given.

Amazon was cited among established companies with resources to sustain AI infrastructure spending; no stock recommendation or valuation target was provided.

Amazon Prime Video was mentioned among streaming services with smaller viewing shares amid competition for video viewing and advertising. No company-specific investment thesis was provided.

AWS revenue growth relative to expense growth is a key driver of investor sentiment. Advertising and the company's investment in Anthropic may offer opportunities as AI changes online interactions.

Amazon was described as returning to an entry area amid a risk-off market. The speaker emphasized reducing risk and managing the position rather than adding exposure.

Shares were down about 8% after hours amid technology-stock weakness, with no company-specific fundamental analysis or recommendation.

Amazon had declined, with no specific trade recommendation provided.

The speaker is bullish on AWS growth and Amazon's AI opportunity, while acknowledging advertising and e-commerce weakness and a sharp post-earnings share-price decline.

The post's earnings prediction for AMZN was wrong.

Amazon was described as having been 'destroyed,' but the remark was incidental and did not establish a stock-specific investment case.

The author expects the stock's knee-jerk 10% drop may not hold and that it could finish positive the next day, citing a strong quarter and potential AWS acceleration. The image shows a purchase of 325.78% more shares at $246.45 on October 29, 2026.

Shares fell 9% after earnings, and the author called their earlier bullish call a mistake, despite purchasing 325.78% more shares.

Shares fell 9% after earnings. The commentary notes earnings reactions are difficult to predict and favors a longer investment time horizon.

Predicted to beat earnings, though the stock is down sharply after hours.

AWS growth, backlog, and record operating margins support the long-term outlook, but exceptionally high planned capital spending, potential negative free cash flow, and a post-earnings decline are concerns.

Selling off ahead of earnings; a beat could trigger a 10%+ move. The post cites cloud momentum and fewer AI spending commitments than Microsoft, along with less search risk than Alphabet.

Predicted to beat earnings.

Viewed as a favorable long position into earnings, supported by strong cloud-demand signals. The image shows a purchase of 325.78% more shares at $246.45.

The bullish case centers on AWS and AI infrastructure, but rising capital expenditures, energy and memory costs, and possible disruption to advertising from AI shopping agents could create volatility. A host held a leveraged long position but cautioned against adding substantial short-term leverage.

Amazon was named as a major hyperscaler, but the speaker provided no specific investment recommendation.

Amazon was mentioned among companies reporting earnings, but no company-specific investment thesis or figures were provided.

Ahead of earnings, concerns included potentially higher CapEx, pressure on free cash flow, AWS growth expectations, and possible friction with consumer AI agents, balanced by substantial cash and growing cloud and advertising businesses.

Mentioned as an upcoming or same-day earnings event to watch; no investment analysis or recommendation was provided.

Amazon was cited as a cash-rich hyperscaler better positioned than neo-cloud providers to fund large AI investments from its existing businesses; no specific valuation or investment outlook was offered.

Amazon was viewed as relatively stable because it remained above its 200-day exponential moving average.

AI revenue and demand need to justify continued capital expenditure; disappointing results could intensify concerns about the AI build-out and trigger broader selling.

Listed as an example institutional 13F holding; the speaker recommended using holdings for research rather than copying them.

Mentioned as reportedly buying physical books in bulk for AI training; the discussion offered no assessment of its investment prospects.

The discussion highlights Amazon's historical stock appreciation and its focus on long-term free cash flow, customer value, and growth, while noting costly setbacks such as the Fire Phone write-off. No current recommendation or forward price target is given.

Amazon may benefit from its balance sheet and ability to acquire capacity if neocloud providers falter, but GPUs reportedly sit idle because of power and grid-access constraints.

Mentioned in connection with prescription pricing options at the point of care. Cuban welcomed the concept but criticized its long expected rollout timeline; no financial impact or investment recommendation was provided.

Described as holding up relatively well amid mixed signals across the Magnificent Seven.

Mentioned as a compensation comparison: the speaker says Jeff Bezos received no CEO compensation while leading Amazon and owns about 8%. No investment recommendation or valuation view is provided.

The speaker is highly bullish, arguing Amazon’s extensive logistics and distribution network could help it apply AI at scale, improve efficiency, lower costs, and increase profitability. No price target or investment timeline is provided.

Anthropic's reliance on AWS and its debt and compute commitments to Amazon may create cloud and financing opportunities, alongside exposure to a fast-changing AI competitor.