BofA, JPMorgan, Oppenheimer Name Their 3 Favorite AI Stocks, One Has a $255 Target
Top Wall Street analysts at Bank of America, JPMorgan and Oppenheimer have recognized three AI shares they consider stay well-positioned for additional positive aspects following robust quarterly earnings.
Their bullish outlooks mirror expectations that AI funding will stay robust regardless of ongoing issues about valuations and the sustainability of spending.
3 AI Stocks TipRanks’ Top Analysts Are Most Bullish On in August 2026
The picks, Palantir Technologies, Amazon and Lam Research, span totally different elements of the AI ecosystem, from enterprise software program to cloud computing and semiconductor manufacturing.
Palantir’s Commercial AI Business Continues to Accelerate
Bank of America analyst Mariana Perez Mora reiterated a Buy score on Palantir with a $255 value 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 just about 40%, up from roughly 30% a 12 months in the past. The firm 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 results, 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 major development engine, pushed by prospects searching for measurable returns from AI deployments. Shares closed close to $172 on August 7.
Mora’s $255 goal subsequently implies a 48% climb above present ranges.
Amazon’s AI Momentum Boosts AWS Outlook
JPMorgan analyst Doug Anmuth raised Amazon’s price target to $365 from $330 whereas sustaining a Buy score and naming the inventory a Best Idea.
Amazon Web Services delivered 37% revenue growth during the second quarter, its quickest growth in 18 quarters. Meanwhile, 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 enticing returns.
A transfer to $365 would indicate a 33% transfer above $274, the place shares closed on Friday.
Lam Research Could Benefit From the Next AI Chip Expansion
Oppenheimer analyst Edward Yang (*3*) a Buy score on Lam Research with a $400 value goal after the semiconductor tools 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 tools spending outlook to the low-$150 billion vary.
He additionally expects 2027 to be an unusually robust 12 months as chipmakers work through supply constraints whereas constructing eight to 10 new fabrication vegetation. 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 Research as a direct beneficiary of AI-driven demand for superior reminiscence, logic and packaging applied sciences. .
AI Spending Remains the Common Theme
Although they function in numerous markets, all three firms are benefiting from the identical development: rising AI investment:
- Palantir is monetizing enterprise AI software program.
- Amazon is capturing rising cloud demand by means of AWS, and
- Lam Research provides the manufacturing tools wanted to supply 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.
While elevated valuations stay a danger, the analysts argue that continued AI adoption, increasing cloud workloads and better semiconductor capital spending may present further upside if present development traits persist.
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