TD Cowen reiterates Amazon stock Buy rating on Anthropic deal By Investing.com

TD Cowen reiterated a Buy rating and $300 price target on Amazon after Amazon and Anthropic expanded their partnership, including Anthropic’s commitment to use up to 5GW of Trainium capacity and spend more than $100 billion over 10 years on AWS. Amazon is also investing $5 billion in Anthropic, with the option to invest another $20 billion, reinforcing the company’s AI infrastructure monetization story. Separate bullish analyst updates from Oppenheimer, UBS, and BMO lifted price targets to $275, $304, and $315, respectively.

Analysis

The market is starting to treat frontier-model capacity as a long-duration utility contract rather than a cyclical cloud win, and that shifts the investment case for AMZN from ‘AI optionality’ to ‘AI annuity.’ If Anthropic really anchors multi-year training and inference demand on AWS, the second-order benefit is not just revenue growth but higher switching costs across the developer stack, which should support mix and pricing power in adjacent AWS services over the next 6-18 months. The bigger implication is competitive: if one hyperscaler can bind a top-tier model lab this tightly, rivals will be forced to spend harder on capacity, incentives, and custom silicon to avoid being left with lower-quality workloads.

The market is likely underestimating how much of this value accrues through Trainium utilization rather than headline model revenue. That matters because accelerator fill rates and cluster longevity can improve return on invested capital even before revenue catches up, so the near-term upside is more about margin durability than pure top-line acceleration. A key second-order beneficiary is any supply-chain name tied to networking, power, and data-center buildout; if this scales, the bottleneck moves from model demand to physical deployment capacity, which tends to support the broader AI infrastructure trade for several quarters.

The main risk is timing mismatch: capital intensity and capacity commitments are visible now, while monetization may take multiple quarters to prove out, creating a window where sentiment outruns earnings revisions. Another risk is that large model customers may diversify across clouds to preserve bargaining power, which would cap AWS’s share of wallet even if the partnership deepens. If AI spend broadens but enterprise adoption slows, the narrative can revert to ‘too much capex, not enough ROI’ quickly.

Key Decisions for Investors

• Long AMZN vs short a basket of lower-quality cloud/AI infrastructure beneficiaries for 3-6 months; thesis is AWS converts AI commitments into more durable operating leverage while weaker peers face heavier capex with less pricing power.
• Buy AMZN pullbacks toward the prior breakout area and use 1-3 month call spreads rather than outright stock; risk/reward favors defined upside if the market keeps pricing AWS AI as an annuity, but upside may pause if capex skepticism returns.
• Long AI infrastructure enablers with exposure to power, networking, and data-center buildout on a 6-12 month horizon; the partnership implies bottleneck expansion beyond chips into deployment infrastructure, which should support order growth even if model demand normalizes.
• Avoid chasing the move in the most crowded hyperscaler AI names until the next earnings print confirms margin translation; near-term upside is already discounting optimism, and disappointment risk is highest where expectations are most elevated.
• If AMZN approaches the upper end of its recent range, consider a tactical covered-call overlay into the next catalyst window; the stock is vulnerable to a ‘good news already priced’ reaction if investors start asking how much of the AI spend is truly incremental.