2 Stocks to Buy on Overdone AI Infrastructure Spending Fears That Could Rise 30% and 50%, According to One Wall Street Analyst

By Geoffrey Seiler – Apr 12, 2026 at 4:05PM ESTKey PointsAmazon and Alphabet shares have been under pressure this year on fears of AI infrastructure overspending. However, both companies have good reasons to aggressively pursue this opportunity.

Analyst Nick Jones of BNP Paribas was recently out with a bullish note on Alphabet (GOOGL 0.41%) (GOOG 0.21%) and Amazon (AMZN +2.05%), saying that fears over artificial intelligence (AI) infrastructure spending are "overdone." Data center spending has become a hot-button issue to start the year, as some investors have questioned the economics of this spending. This includes famed investor Michael Burry, who was portrayed by actor Christian Bale in the movie The Big Short. Burry argued last fall that the useful life of graphics processing units (GPUs) and other AI chips is rather short-lived, and that, as such, hyperscalers like Alphabet, Amazon, and others won't see an economic benefit from their spending. Capex climb raises investor eyebrows However, this didn't keep Alphabet and Amazon from cranking up their capital expenditure (capex) plans for the year. In February, Alphabet said its capex would rise to between $175 billion and $185 billion this year, up from $91.4 billion in 2025. Amazon turned around and upped the ante a few days later, saying it would boost its capex to $200 billion from $131.8 billion last year. The announcements didn't sit well with investors, who sent the shares of both stocks lower. ExpandNASDAQ: GOOGLAlphabetToday's Change(-0.41%) $-1.31Current Price$317.18Key Data PointsMarket Cap$3.8TDay's Range$316.33 - $321.8552wk Range$146.10 - $349.00Volume545KAvg Vol34MGross Margin59.68%Dividend Yield0.26% Amazon and Alphabet are two of the big three cloud computing providers, along with Microsoft. Amazon holds the No. 1 market share in the space, having created the infrastructure-as-a-service industry back in the mid-2000s with Amazon Web Services (AWS). Today, AWS is its largest segment by profitability, and its fastest growing. Alphabet's Google Cloud, meanwhile, holds the No. 3 market share behind Microsoft's Azure. In his note, Jones argued that the companies' backlog-to-capex ratios show that neither one is overspending and that their current investments are needed to meet rising demand. He also said that both companies are becoming more efficient, as their revenue per employee metrics are climbing higher. The analyst has a $390 price target on Alphabet, representing about 30% upside, and a $320 price target on Amazon, which would be about a 50% gain if met. Image source: Getty Images. The custom chip advantage In my view, if there are any two companies that should be ramping up their AI infrastructure capex, it is Alphabet and Amazon. The reason for this is twofold. The first is that both companies have developed their own AI ASICs (application-specific integrated circuits). These are custom chips developed to handle specific AI-related tasks. Because ASICs are purpose-built, they tend to be more energy efficient, and the total cost of ownership tends to be lower. This gives both companies a structural cost advantage. Alphabet is the leader in this space with its tensor processing units (TPUs), which it developed more than a decade ago and has tightly integrated with its entire hardware and software ecosystem. Amazon, meanwhile, has developed more budget-oriented chips with its Trainium and Inferentia offerings. Both companies have been seeing momentum with customers deploying their chips within their data centers. ExpandNASDAQ: AMZNAmazonToday's Change(2.05%) $4.78Current Price$238.43Key Data PointsMarket Cap$2.6TDay's Range$235.20 - $240.4352wk Range$165.28 - $258.60Volume3MAvg Vol51MGross Margin50.29% Anthropic has placed a $21 billion TPU with Alphabet partner Broadcom for this year and recently extended its partnership for additional capacity to both be deployed through Google Cloud and supplied directly by Broadcom. Meanwhile, Amazon also opened a large data center exclusively for Anthropic at the end of last year, powered by its Trainium chips. In addition to the cost advantage of having its own AI chips, the other reason why both Alphabet and Amazon should be pressing their advantages and investing heavily in AI infrastructure is that both companies also have heavy internal usage. They have both developed large language models (LLMs), and both are using AI to help drive growth in other parts of their businesses, such as search for Alphabet and e-commerce with Amazon. This ability to internally absorb capacity lessens the risk of overbuilding. With both stocks off their highs, now is a great time to buy these AI giants. In fact, they are two of my favorite stocks at the moment, and I own both.Read NextApr 10, 2026 •By Adam SpataccoI'm Calling It: Alphabet Stock Is a Buy Before June 2026Apr 10, 2026 •By Lawrence NgaAlphabet Is Quietly Building Its Next Major Business -- and It Could Be Bigger Than You ThinkApr 9, 2026 •By Will HealyAlphabet vs. Microsoft: A Comparison of Recent Revenue TrendsApr 9, 2026 •By Trevor JennewineBuy This AI Stock to Own SpaceX Pre-IPO and Hold It Through the Robotaxi BoomApr 9, 2026 •By Justin PopeThe Artificial Intelligence (AI) Stock I'd Buy With $1,000 Before the Market Bounces BackApr 8, 2026 •By Daniel SparksThink Nvidia is the Best Artificial Intelligence (AI) Stock to Buy? Think Again.

Buy This Growth Stock Instead.About the AuthorGeoffrey Seiler is a contributing Motley Fool stock market analyst covering technology, consumer goods, healthcare, energy, and materials stocks. Prior to The Motley Fool, Geoffrey was a senior equity analyst at Raging Capital Management, a $600 million long-short hedge fund. He holds a bachelor’s degree in history from Haverford College.TMFFindProfitStocks MentionedAlphabetNASDAQ: GOOGL$317.18(-0.41%)-$1.31AmazonNASDAQ: AMZN$238.38(+2.02%)+$4.73AlphabetNASDAQ: GOOG$315.70(-0.21%)-$0.67*Average returns of all recommendations since inception. Cost basis and return based on previous market day close.