Prime Wall Avenue analysts at Financial institution of America, JPMorgan and Oppenheimer have recognized three AI shares they consider stay well-positioned for additional positive aspects following sturdy quarterly earnings.
Their bullish outlooks mirror expectations that AI funding will stay sturdy regardless of ongoing issues about valuations and the sustainability of spending.
3 AI Shares TipRanks’ Prime Analysts Are Most Bullish On in August 2026
The picks, Palantir Applied sciences, Amazon and Lam Analysis, span totally different elements of the AI ecosystem, from enterprise software program to cloud computing and semiconductor manufacturing.
Palantir’s Industrial AI Enterprise Continues to Speed up
Financial institution of America analyst Mariana Perez Mora reiterated a Purchase score on Palantir with a $255 worth goal after the corporate’s second-quarter outcomes exceeded expectations.
US industrial income surged 149% 12 months over 12 months, rising its share of whole income to almost 40%, up from roughly 30% a 12 months in the past. The corporate additionally expanded its US industrial buyer base 35% to 653, whereas trailing 12-month income per buyer climbed 76% to $3.5 million.
Following the outcomes, Palantir raised full-year steerage and now expects no less than 134% US industrial income development. Mora additionally elevated her 2026–2028 income and earnings forecasts, citing stronger contract worth and deeper buyer relationships.
She views Palantir’s industrial enterprise as the corporate’s main development engine, pushed by prospects searching for measurable returns from AI deployments. Shares closed close to $172 on August 7.
Mora’s $255 goal due to this fact implies a 48% climb above present ranges.
Amazon’s AI Momentum Boosts AWS Outlook
JPMorgan analyst Doug Anmuth raised Amazon’s worth goal to $365 from $330 whereas sustaining a Purchase score and naming the inventory a Finest Concept.
Amazon Net Providers delivered 37% income development in the course of the second quarter, its quickest growth in 18 quarters. In the meantime, whereas companywide forex-neutral income elevated 20%, the strongest tempo in 5 years.
AWS backlog climbed to $496 billion, up practically 2.5x 12 months over 12 months and 36% sequentially. Anmuth attributed the momentum to rising AI workloads, continued demand for core cloud companies and Amazon’s customized AI chips.
He modestly lifted his 2026 and 2027 forecasts, arguing that Amazon’s AI investments proceed to generate engaging returns.
A transfer to $365 would suggest a 33% transfer above $274, the place shares closed on Friday.
Lam Analysis Might Profit From the Subsequent AI Chip Growth
Oppenheimer analyst Edward Yang maintained a Purchase score on Lam Analysis with a $400 worth goal after the semiconductor gear maker beat fiscal fourth-quarter expectations.
Yang highlighted stronger buyer help income and a doubling of NAND income whereas noting administration raised its 2026 wafer fabrication gear spending outlook to the low-$150 billion vary.
He additionally expects 2027 to be an unusually sturdy 12 months as chipmakers work by provide constraints whereas constructing eight to 10 new fabrication crops. Primarily based on that outlook, Yang elevated his 2027 and 2028 income and earnings estimates by 7% to 9%. Shares traded close to $311.
He sees Lam Analysis as a direct beneficiary of AI-driven demand for superior reminiscence, logic and packaging applied sciences. .
AI Spending Stays the Widespread Theme
Though they function in numerous markets, all three corporations are benefiting from the identical development: rising AI funding:
- Palantir is monetizing enterprise AI software program.
- Amazon is capturing rising cloud demand by AWS, and
- Lam Analysis provides the manufacturing gear wanted to provide more and more complicated AI chips.
The analysts behind the calls, Mariana Perez Mora, Doug Anmuth and Edward Yang, every maintain five-star rankings on TipRanks primarily based on historic efficiency.
Whereas elevated valuations stay a threat, the analysts argue that continued AI adoption, increasing cloud workloads and better semiconductor capital spending may present extra upside if present development developments persist.
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