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Asolica > Blog > Finance > Goldman Sachs revamps Microsoft inventory worth goal earlier than earnings
Finance

Goldman Sachs revamps Microsoft inventory worth goal earlier than earnings

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Last updated: January 18, 2026 4:11 am
Admin
4 months ago
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Goldman Sachs revamps Microsoft inventory worth goal earlier than earnings
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Goldman Sachs simply struck a remarkably assured tone on Microsoft (MSFT)inventory simply forward of a key earnings report on January 28.

Contents
  • Copilot and AI brokers sit on the heart of Goldman’s Microsoft name
  • Microsoft’s AI brokers matter greater than standalone instruments
  • The hole between agentic AI hype and actuality

The agency slapped the software program big with a purchase ranking and an eye-popping $655 worth goal, which means almost 37% upside from present costs.

I can’t say how different analysts see it, however for me, Microsoft has been a novel inventory.

Regardless of its continued elementary outperformance and robust stock-market exhibiting, it’s by no means fairly been the “it” inventory.

Nonetheless, that uncommon popularity hasn’t deterred the inventory, which has posted a jaw-dropping 91% achieve over the previous three years, comfortably beating the broader market.

Final 12 months, nevertheless, efficiency was principally muted, with the replenish simply 7%, as AI fatigue appeared to meet up with it, even contemplating its first-mover benefit.

Following the dip, although, the inventory’s now ripe for the choosing, buying and selling at over 28-times non-GAAP ahead earnings (12% decrease than its five-year common).

It’s fascinating to notice that Goldman’s worth goal is essentially the most bullish among the many main analysts.

  • Morgan Stanley: $650 worth goal (obese).
  • Barclays: $610 worth goal.
  • J.P. Morgan: $575 worth goal (purchase).
  • Wedbush: $625 worth goal (outperform).

On prime of that, Goldman’s rationale is probably what sticks essentially the most, the place it argues the market is underappreciating the long-term worth its AI endeavors can unlock for the enterprise. 

Goldman Sachs revamps Microsoft inventory worth goal earlier than earnings
Goldman Sachs raises its Microsoft outlook forward of earnings, citing long-term upside from Copilot and AI brokers.

Photograph by JASON REDMOND on Getty Pictures

Copilot and AI brokers sit on the heart of Goldman’s Microsoft name

Goldman Sachs says the broader market isn’t pricing in almost as a lot worth as Microsoft’s Copilot instruments and AI agent-based workflows add to the corporate’s long-term case.

On the core of its strategy is the idea that Microsoft’s strategy is shifting shortly past simply experimentation and into sensible, repeatable use circumstances.

Since its launch again in 2023, Microsoft’s “family of Copilot apps” has been a juggernaut for the enterprise. In truth, in the course of the FQ4 2025 earnings name, CEO Satya Nadella stated that it boasted 100 million month-to-month energetic customers throughout business and client segments, based on the The Occasions of India.

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Furthermore, within the newest earnings name, Nadella remarked that “more than 90% of the Fortune 500” are utilizing Copilot.

An enormous a part of its success is its distinctive positioning, sitting straight inside merchandise that prospects are already utilizing. 

Which is why veteran analyst agency Wedbush argued that the power-packed combo of Copilot and Azure might probably add $25 billion in gross sales by fiscal 2026.

That kind’s an enormous a part of why, in Goldman’s upside state of affairs, Microsoft might ship greater than $35 in earnings per share by fiscal 2030 (north of 20% EPS progress), trumping the mid-teens growth anticipated from most mega-cap gamers.

Microsoft’s AI brokers matter greater than standalone instruments

On prime of that, Goldman factors to Microsoft’s rising deal with AI brokers, successfully revolutionizing how work will get carried out inside organizations.

That, in flip, will drive stickier utilization, together with extra predictable long-term monetization with Microsoft’s vertical integration (AI compute, platforms, and purposes), giving it a critical edge.

For these causes, its power-packed AI technique will probably translate into strong and measurable demand throughout its enterprise.

  • Infrastructure (Azure and AI information facilities): Extra AI brokers in play would require stronger coaching and push inference demand larger. For perspective, Microsoft’s Azure enterprise has already blown previous $75 billion in gross sales in fiscal 2025, and that degree of progress is unlikely to cease anytime quickly.
  • Platform (Foundry and agent companies): In July 2025, Satya Nadella stated Foundry APIs processed a whopping 500 trillion tokens, up sevenfold.
  • Purposes (Copilot, GitHub, Dynamics): Microsoft can effectively embed brokers into on a regular basis workflows. For slightly coloration, prospects reportedly created 3 million brokers by SharePoint and Copilot Studio in a 12 months, whereas GitHub Copilot skyrocketed to 26 million customers by late 2025.

It’s additionally vital to notice that the marketplace for agent-based AI is very large.

As an example, Gartnerstated that 40% of enterprise apps will embody task-specific AI brokers by the shut of 2026.

The hole between agentic AI hype and actuality

Wall Avenue is likely to be enthusiastic about agentic AI, however the efficiency hole is inconceivable to disregard.

As an example, greater than 40% of agentic AI tasks is likely to be canceled by the top of 2027, with prices outpacing outcomes,Gartnerwarned just lately. One other worrying pattern it additionally flagged was widespread “agent washing,” with simply 130 distributors being considered as actually agentic somewhat than repackaged chatbots.

Actual-world efficiency information additionally again up that warning. 

Associated: Cathie Wooden drops $50 million on AI inventory, dumps favourite

In TheAgentCompany benchmark, which successfully examined 175 practical office duties (stuff like internet apps, paperwork, and code), even the premier AI mannequin accomplished simply 30% of duties. 

Furthermore, the commonest setups really carried out far worse, typically getting caught in loops or failing in difficult interfaces. 

The Reddit group broadly agrees, and a pertinent submit from person hkreporter2 within the AI_Agents discussion board (116,000 brokers) stated it finest.

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