Goldman Sachs Says This Is Where Microsoft’s AI Investments Begin to Pay Off Big Time

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By Rich Duprey Published

Quick Read

  • Goldman Sachs added Microsoft to its U.S. Conviction List, raising its price target to $640 and implying roughly 38% upside from current levels.

  • Azure surpassed $100 billion in annual revenue growing at 43%, making it the engine behind Microsoft's shift to recurring AI-powered subscription revenue.

  • Goldman projects Microsoft's EPS growth accelerates from roughly 12% in fiscal 2027 to over 20% by fiscal 2029 as Copilot adoption scales.

  • The most widely read finance newsletter on Substack isn't published by a bank, it's Doomberg, where 383,000+ readers get the energy and macro analysis the mainstream press misses. 24/7 Wall St. readers save 17% on their first year here.

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Goldman Sachs Says This Is Where Microsoft’s AI Investments Begin to Pay Off Big Time

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Artificial intelligence has entered a new phase. For the past two years, investors rewarded the companies building the picks and shovels of the AI revolution, from semiconductor makers to networking equipment suppliers. That spending spree isn’t ending, but the focus is beginning to shift. 

Enterprises now want measurable returns instead of bigger models or larger data centers. That’s creating a different set of winners. Goldman Sachs believes Microsoft (NASDAQ:MSFT | MSFT Price Prediction) is among the best positioned to benefit because it already has AI woven into the software businesses millions of workers use every day.

Enterprise AI Is Becoming Microsoft’s Biggest Opportunity

Goldman Sachs added Microsoft to its U.S. Conviction List this morning as part of its monthly update, while maintaining its Buy rating and lifting its price target to $640 from $610. With Microsoft’s shares trading around $465 — the stock is up 5% in midday trading — that represents roughly 38% upside. More importantly, inclusion on the Conviction List signals higher confidence than a standard Buy recommendation because it reflects Goldman’s highest-conviction ideas based on fundamental analysis.

The investment thesis, outlined by Goldman software analyst Gabriela Borges, marks a subtle but important shift in AI investing. Instead of focusing on companies supplying infrastructure for model training, Goldman is emphasizing businesses that can turn AI into recurring enterprise revenue.

Azure, Copilot Show AI Is More Than Just A Technology

Microsoft’s latest quarterly results gave investors tangible evidence that its AI investments are beginning to generate stronger financial returns. Fiscal fourth-quarter results show revenue climbed 18% year over year to approximately $90 billion while Azure revenue growth accelerated to about 43%. The company also disclosed Azure now generates more than $100 billion in annual revenue.

Those numbers matter because Azure isn’t simply renting cloud servers anymore. It has become the foundation for Microsoft’s AI services, while Microsoft 365 Copilot gives enterprises a practical way to deploy AI across email, spreadsheets, coding, meetings, and business workflows.

That’s where Goldman believes the economics improve. Training large AI models demands enormous capital investment. Selling AI-powered productivity software through subscriptions produces recurring, high-margin revenue.

Goldman expects Microsoft’s earnings-per-share growth to accelerate from roughly 12% in fiscal 2027 to more than 20% by fiscal 2029 as Copilot adoption expands, AI operating efficiencies improve, and enterprise deployments become routine.

The Next AI Winners May Look Different

The AI trade has largely rewarded infrastructure providers over the last two years. Chipmakers and hardware suppliers benefited because every company needed computing power before customers could use AI applications.

That dynamic is beginning to change. As businesses move from experimentation to implementation, software platforms that already have deep customer relationships gain an advantage. Microsoft reaches hundreds of millions of commercial users through Windows, Microsoft 365, Teams, Dynamics, GitHub, and Azure. Adding AI capabilities to products customers already pay for is often easier than convincing them to adopt an entirely new platform.

Granted, Microsoft still faces risks. AI infrastructure spending remains elevated, competition from Alphabet (NASDAQ:GOOG), Amazon (NASDAQ:AMZN), and other cloud providers continues to intensify, and enterprise AI adoption could unfold more gradually than optimistic forecasts suggest.

Key Takeaway

In short, Goldman Sachs isn’t arguing that AI infrastructure spending is ending. Instead, it believes the biggest investment opportunity is shifting toward companies capable of converting that spending into lasting enterprise revenue. Microsoft’s latest earnings, Azure’s $100 billion annual revenue milestone, and growing Copilot adoption surpassing 30 million paid seats suggest that transition is already underway.

For long-term investors, that’s the more durable story. Building AI infrastructure created the first wave of winners. Helping businesses use AI every day could create the next one, and Goldman Sachs believes Microsoft has one of the strongest positions to capture that opportunity.

Contact [email protected] for any questions or corrections.

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About the Author Rich Duprey →

After two decades of patrolling the dark corners of suburbia as a police officer, Rich Duprey hung up his badge and gun to begin writing full time about stocks and investing. For the past 20 years he’s been cruising the markets looking for companies to lock up as long-term holdings in a portfolio while writing extensively on the broad sectors of consumer goods, technology, and industrials. Because his experience isn’t from the typical financial analyst track, Rich is able to break down complex topics into understandable and useful action points for the average investor. His writings have appeared on The Motley Fool, InvestorPlace, Yahoo! Finance, and Money Morning. He has been featured in both U.S. and international publications, including MarketWatch, Financial Times, Forbes, Fast Company, and USA Today.

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