Salesforce, Inc. (NYSE:CRM) closed at $238.22 on September 24. The company is worth about $195.53 billion and trades near twenty-one times earnings.
Salesforce has one of the best understood moats in software. Once a company runs its sales team on Salesforce, moving becomes close to unthinkable. The question is whether artificial intelligence widens that position or quietly dissolves it.
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The Moat is Switching Costs, and AI is Deepening Them:
Salesforce is not hard to replace because the software is brilliant. It is hard to replace because of everything built around it.
A large customer has years of records inside it, custom workflows, integrations with a dozen other systems, and staff trained on it. Replacing that is a multi-year project with a real chance of failure, which is why finance directors approve the renewal instead.
AI has so far made this stronger rather than weaker. Salesforce’s agent products and its data layer reached roughly $3.9 billion of annual recurring revenue, growing more than 210% year on year. Those tools work because they sit on the customer’s own data, and that data is already inside Salesforce.
That is the crucial point. An AI agent is only useful if it knows the company’s history, and Salesforce holds the history. A rival with better technology still has to rebuild years of records, permissions, and workflow context that already sit inside Salesforce, which is expensive even where the data itself is reachable.
Commitments support it too. Current remaining performance obligations grew about 14%, which measures contracted revenue rather than hope.
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The Threat is to the Pricing Model, Not the Product:
Here is what could narrow it. Salesforce charges per seat, meaning per employee who logs in. That model assumes a human at a keyboard.
If agents do work that sales and service staff used to do, customers need fewer seats. The software becomes more valuable, and the bill gets smaller, which is an uncomfortable combination. Salesforce is moving toward charging for work performed rather than seats occupied, but that transition is unfinished and unproven.
Growth has already moderated. Revenue is expanding at around 11%, helped by acquisitions rather than purely by the existing business. The company has set a target of roughly $63 billion of revenue by fiscal 2030. Reaching it needs AI products to become broad rather than a fast-growing corner.
There is a competitive angle as well. AI native rivals can build without decades of legacy code, and some customers may decide that rebuilding on something modern is finally worth the disruption.
None of that is imminent. Replacing the system that runs a sales organization is a project measured in years, and few finance teams will approve it without a very clear reason. That keeps the moat intact for now, which is not the same as widening it.
Conclusion:
Salesforce’s moat is still widening in the way that matters most. AI agents make the data a company has already handed over more valuable rather than less, and an agent is only as good as the records it can reassemble. The erosion risk is not competitive but commercial, since a seat-based price list sits awkwardly with software designed to reduce the number of people needed. The number to watch is remaining performance obligations as agent products scale. If contracted revenue keeps compounding while seat-based growth slows, the pricing transition is working.
Market Sentiment:
Salesforce, Inc. was held by 99 hedge funds with a combined stake value of about $6.4 billion at the end of Q2 2026 in the Insider Monkey database. This is down from 101 hedge fund holders with a cumulative investment value of around $6.9 billion in the previous quarter.
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This article is originally published at Insider Monkey.