NOW: the market is treating ServiceNow like software is broken — but the numbers don’t look broken

ServiceNow is one of the more interesting large-cap software names right now because the stock action and the business performance are telling two very different stories.

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The stock looks ugly.

The business does not.

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Current price: $95.04

Estimated intrinsic value: $163.05

Implied gap: +71.6%

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The chart looks like investors threw the whole SaaS basket in the trash.

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RSI is oversold.

Price is down hard over the last 3 months.

Sentiment around enterprise software is clearly damaged.

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But when I look at the actual business, I have a hard time calling this a broken company.

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Latest quarter:

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Total revenue: $3.77B

Subscription revenue: $3.67B

Subscription revenue growth: 22% YoY

cRPO: $12.64B

Total RPO: $27.7B

Now Assist customers spending over $1M ACV: up 130%+ YoY

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That does not look like a company whose product is becoming irrelevant.

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So the real debate with NOW is not:

“Is ServiceNow a good business?”

I think that answer is obvious.

The real debate is:

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Is AI going to compress ServiceNow’s moat — or make the platform more important?

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That is where this gets interesting.

The bear case is pretty clean.

Enterprise software is under pressure because investors are worried AI agents will reduce the need for traditional SaaS workflows, seat-based pricing, and expensive enterprise platforms.

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If AI lets companies automate work outside of ServiceNow, then maybe the market is right to rerate the stock lower.

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That is the scary version.

But the bull case is almost the opposite.

ServiceNow is not just another software dashboard.

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It sits inside messy enterprise workflows: IT, HR, customer service, security, operations, compliance, approvals, ticketing, automation, internal processes.

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That kind of system is sticky because it is embedded in how large companies actually function.

And if AI becomes useful inside enterprises, someone still has to connect it to workflows, permissions, records, approvals, audit trails, and business logic.

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That is exactly where ServiceNow wants to sit.

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So the question becomes:

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Does AI replace ServiceNow, or does ServiceNow become the control layer for AI-driven enterprise work?

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That is the whole thesis.

If AI weakens workflow platforms, NOW deserves a lower multiple.

If AI increases the value of owning the workflow layer, the current selloff may be an overreaction.

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The valuation case depends on a few assumptions:

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1. Subscription revenue growth can stay around 20% for longer than the market expects.

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2. cRPO growth remains strong enough to support forward visibility.

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3. Now Assist becomes a real monetization layer, not just an AI marketing label.

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4. Margins stay healthy even with AI investment and acquisitions.

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5. Enterprises keep consolidating workflows onto ServiceNow instead of fragmenting across AI tools.

That last point matters most to me.

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The market seems to be pricing in a world where AI disrupts traditional SaaS.

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But there is another possible world where AI makes fragmented enterprise workflows even harder to manage — and platforms like ServiceNow become more valuable, not less.

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That is why I think NOW is worth looking at here.

Not because it is statistically cheap.

Not because the chart is oversold.

But because the market may be confusing software fear with business deterioration.

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Those are not the same thing.

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A falling stock price does not automatically mean a broken business.

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Sometimes it means expectations got reset.

Sometimes it means the market is seeing something real.

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The key question is which one this is.

For me, the NOW thesis comes down to one question:

Is ServiceNow just another SaaS company being disrupted by AI, or is it one of the platforms enterprises will use to operationalize AI?

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If it is the first, the stock may deserve the punishment.

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If it is the second, this could be one of the more interesting software dislocations in the market.

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Curious how others are underwriting it:

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Would you model NOW as a mature SaaS company with multiple compression risk, or as a workflow infrastructure platform that could actually benefit from AI adoption?