
Three major Wall Street firms—Bank of America, JPMorgan, and Oppenheimer—have identified Palantir, Amazon, and Lam Research as their top AI stock picks following strong quarterly earnings.
Bank of America set a $255 price target on Palantir, citing 149% year-over-year growth in US commercial revenue; JPMorgan raised Amazon's target to $365 on AWS revenue growth of 37%; and Oppenheimer maintained a $400 target on Lam Research, the semiconductor equipment maker poised to benefit from chipmakers' AI-driven expansion.
Together, the three stocks offer exposure to enterprise AI software, cloud computing, and chip manufacturing equipment—different points in the AI supply chain all driving returns from accelerating AI investment.
What happened
Bank of America, JPMorgan, and Oppenheimer analysts named Palantir, Amazon, and Lam Research as their top AI stock picks. BofA analyst Mariana Perez Mora set a $255 price target on Palantir; JPMorgan's Doug Anmuth raised Amazon's target to $365; Oppenheimer's Edward Yang maintained a $400 target on Lam Research.
Why it matters
The three stocks span different parts of the AI supply chain—enterprise software, cloud computing, and semiconductor manufacturing—allowing investors to gain exposure across the ecosystem. All three companies are benefiting from accelerating AI spending: Palantir's US commercial revenue surged 149% year over year, Amazon Web Services grew 37% in Q2 (its fastest pace in 18 quarters), and Lam Research is positioned to supply equipment for chipmakers' AI-driven expansion.
What to watch
Palantir shares closed near $172 on August 7, meaning the $255 target implies a 48% move upward; Amazon closed at $274 on Friday, implying a 33% move to $365. Lam Research traded near $311. All three analysts hold five-star TipRanks ratings based on historical performance.
Top Wall Street analysts at Bank of America, JPMorgan, and Oppenheimer have identified three AI stocks they believe remain well-positioned for further gains: Palantir Technologies, Amazon, and Lam Research. The picks span different parts of the AI ecosystem—enterprise software, cloud computing, and semiconductor manufacturing equipment—allowing investors to gain exposure to the full supply chain.
Bank of America analyst Mariana Perez Mora reiterated a Buy rating on Palantir with a $255 price target following the company's second-quarter results, which exceeded expectations. US commercial revenue surged 149% year over year and increased its share of total revenue to nearly 40%, up from roughly 30% a year ago. Palantir also expanded its US commercial customer base 35% to 653, while trailing 12-month revenue per customer climbed 76% to $3.5 million. Following the results, Palantir raised full-year guidance and now expects at least 134% US commercial revenue growth. Mora increased her 2026–2028 revenue and earnings forecasts, citing stronger contract value and deeper customer relationships. Mora views Palantir's commercial business as the company's primary growth engine, driven by customers seeking measurable returns from AI deployments. Shares closed near $172 on August 7, meaning the $255 target implies a 48% climb above current levels.
JPMorgan analyst Doug Anmuth raised Amazon's price target to $365 from $330 while maintaining a Buy rating and naming the stock a Best Idea. Amazon Web Services delivered 37% revenue growth during the second quarter, its fastest expansion in 18 quarters, while companywide forex-neutral revenue increased 20%, the strongest pace in five years. AWS backlog climbed to $496 billion, up nearly 2.5x year over year and 36% sequentially. Anmuth attributed the momentum to growing AI workloads, continued demand for core cloud services, and Amazon's custom AI chips. He modestly lifted his 2026 and 2027 forecasts, arguing that Amazon's AI investments continue to generate attractive returns. Amazon shares closed at $274 on Friday, where the $365 target would imply a 33% move upward.
Oppenheimer analyst Edward Yang maintained a Buy rating on Lam Research with a $400 price target after the semiconductor equipment maker beat fiscal fourth-quarter expectations. Yang highlighted stronger customer support revenue and a doubling of NAND revenue while noting management raised its 2026 wafer fabrication equipment spending outlook to the low-$150 billion range. He also expects 2027 to be an unusually strong year as chipmakers work through supply constraints while building eight to ten new fabrication plants. Based on that outlook, Yang increased his 2027 and 2028 revenue and earnings estimates by 7% to 9%. Lam Research shares traded near $311. Yang sees the company as a direct beneficiary of AI-driven demand for advanced memory, logic, and packaging technologies. All three analysts—Mariana Perez Mora, Doug Anmuth, and Edward Yang—each hold five-star ratings on TipRanks based on historical performance.
The three picks reflect a comprehensive thesis on AI's supply chain momentum. Rather than concentrating on a single sector, Bank of America, JPMorgan, and Oppenheimer have identified companies at three distinct points: Palantir monetizing enterprise AI software directly to customers; Amazon capturing cloud demand through AWS infrastructure; and Lam Research supplying the manufacturing equipment that chipmakers need to produce the silicon powering these systems. This layering suggests the analysts believe AI investment will remain robust across the entire ecosystem despite ongoing concerns about valuations.
The concrete evidence supporting this view is substantial. Palantir's US commercial revenue growth of 149% year over year, combined with its expansion of the customer base to 653 and a 76% climb in trailing 12-month revenue per customer to $3.5 million, demonstrates not just adoption but deepening monetization. AWS's 37% growth in Q2—the fastest in 18 quarters—alongside a $496 billion backlog that nearly doubled year over year, shows cloud demand has not plateaued. Lam Research's position is underscored by management raising its 2026 wafer fabrication equipment spending outlook to the low-$150 billion range, signaling capital intensity in chip production is accelerating. The convergence of these three trends (software adoption, cloud expansion, and equipment capex) supports the analysts' argument that AI spending remains the dominant driver.
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