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Home NewsBig Profits, Bigger Concerns: What Salesforce Isn’t Telling You About Its AI Future

Big Profits, Bigger Concerns: What Salesforce Isn’t Telling You About Its AI Future

by Owen Radner
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For years, Salesforce seemed to defy gravity – a company whose growth felt almost preprogrammed into the structure of enterprise software itself. But as we at YourNewsClub have observed throughout this year, the CRM giant is now operating in a dramatically different landscape. Strong quarterly numbers no longer guarantee strong market confidence, and the story investors are reading between the lines is far more complex than the official earnings release.

In its latest fiscal quarter ending October 31, Salesforce reported revenue of $10.26 billion – essentially in line with expectations – and delivered an adjusted EPS of $3.25, well above the consensus of $2.86. Net income surged to $2.09 billion, boosted by $263 million in strategic investment gains. On paper, it looks like the kind of quarter that should calm nerves.

But the reaction has been muted because Salesforce is facing something numbers alone cannot resolve: a structural transition from being the defining SaaS company of the 2010s to proving it can lead in the AI-driven economy of the 2020s.

Owen Radner, YourNewsClub’s analyst who studies digital-era infrastructure, framed the shift to us succinctly: “Salesforce’s business was built on stable flows of organizational data. In today’s economy, where computational power itself becomes the new transportation grid, the company has to redesign its routes entirely.”

That redesign is underway – and also explains the turbulence. Tableau and MuleSoft are both transitioning into fully cloud-native offerings, temporarily depressing revenue recognition. The company’s outlook for next quarter – $11.13 to $11.23 billion in revenue and roughly $3.03 EPS – signals that top-line growth of 11–12% depends meaningfully on the recently acquired Informatica, which cost $8 billion, and on the accelerating adoption of Agentforce, Salesforce’s flagship AI platform.

Agentforce itself is a paradoxical success story: annualized revenue has soared 330% to surpass $500 million, with more than 9,500 paid deals – up from 6,000 in September. But the very speed of this adoption fuels investor anxiety. If AI automates parts of sales, service, and data workflows, will it one day replace or shrink segments of Salesforce’s own product suite?

This is where analyst Alex Reinhardt – who examines how digital protocols become liquidity engines – offers a deeper strategic interpretation: “AI is disrupting the economic architecture of SaaS. The winners will not be the companies selling the most licenses, but the ones who control the liquidity layer of enterprise data flows. Whoever controls that layer controls the market.”

Salesforce is fighting to own that layer. Its acquisitions of Regrello and Waii are not merely tactical additions; they are attempts to construct an internal AI ecosystem strong enough to compete with hyperscalers and model providers. Yet investors remain unconvinced: Salesforce shares are down 29% year-to-date, even as the Nasdaq gained 21%.

Free cash flow grew 22% to $2.18 billion – solid, but still below expectations, and that gap is telling. Markets are no longer willing to treat Salesforce as a predictable mega-SaaS engine. They are beginning to judge it as a company that must prove – not assume – its next phase of growth.

From the vantage point of YourNewsClub, a few conclusions emerge clearly. First, Salesforce must accelerate the integration of its AI acquisitions – experimental features must evolve into core revenue drivers. Second, the company will need a transparent roadmap showing how it plans to reach its ambitious $60 billion target by FY2030. And third, Salesforce must define the standard for AI-native CRM before Microsoft, Google, or OpenAI redefine the category for them.

Right now, Salesforce is holding a steady pace – but on a road where volatility will intensify. At Your News Club, we believe the coming year will determine whether Salesforce becomes an anchor institution of the AI economy, or whether its influence gradually shifts into a secondary role. This earnings report, ultimately, is less about profit and more about whether Salesforce can demonstrate the strategic maturity required for the decade ahead.

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