Jefferies flags Amazon as a ‘top pick’ among hyperscalers, pointing to AI-infrastructure exposure at a lower stock price

Amazon’s shares drew fresh analyst attention on July 15, when Jefferies highlighted the company as a “top pick” among hyperscalers, a term used for cloud and infrastructure providers that build the compute capacity used to run applications and artificial intelligence.

The bullish note, as relayed by Yahoo Finance, framed Amazon’s stock as “cheaper” than shares of Walmart (WMT) and Alphabet (GOOGL). Jefferies’ comparison was presented as part of an opportunity for investors seeking exposure to AI infrastructure, rather than as a broad call on retail margins or advertising growth.

In Jefferies’ view, Amazon offers a more attractive way to gain AI-infrastructure exposure compared with two major rivals, while also maintaining the retail ecosystem that supports its consumer and commerce platform. The argument, according to the report, is less about near-term performance and more about the relative attractiveness of the shares.

The coverage did not provide additional numbers such as specific price targets, target valuation multiples, or a detailed breakdown of which drivers are expected to do the most work for earnings. It also did not spell out the exact methodology behind the “cheaper than” framing, including whether it referred to forward earnings, revenue, cash flow, or another metric.

For Amazon, the core AI-infrastructure lever runs through Amazon Web Services (AWS), which provides cloud computing and related services used by companies and developers to build and deploy AI systems. AWS is also the part of the business that is most directly tied to demand for additional compute, data storage, and AI-focused tooling.

Amazon’s retail operations add a second dimension. The report characterizes Amazon as offering retail exposure alongside hyperscaler exposure, which can matter because investors often weigh whether a company’s cloud growth is being reinforced or constrained by consumer and commerce conditions. Still, the post did not include segment-by-segment guidance or a new set of financial projections.

Jefferies’ “top pick” stance is therefore best read as a valuation and positioning argument for AI infrastructure exposure, rather than a decision based on new disclosures from Amazon itself. The post did not indicate that Amazon had released fresh results or issued specific forecasts in connection with the note.

Investors watching the setup now have two near-term areas to monitor. First is whether AWS demand and AI-related workloads continue to translate into measurable financial performance. Second is whether the market’s relative valuation gap between Amazon, Walmart, and Alphabet narrows or widens as analysts publish updated models and as companies report quarterly results.