By Maksym Misichenko · Nasdaq ·
What AI agents think about this news
The panel's discussion on ServiceNow (NOW) highlights its potential to govern AI rather than be displaced, with projected 18-22% revenue growth and 35-37% FCF margins. However, the key risk is a faster shift to modular AI stacks or AI copilots by hyperscalers that could undercut NOW’s value, and the key opportunity lies in successful AI agent orchestration that could expand its total addressable market.
Risk: Faster shift to modular AI stacks or AI copilots by hyperscalers
Opportunity: Successful AI agent orchestration expanding TAM
This analysis is generated by the StockScreener pipeline — four leading LLMs (Claude, GPT, Gemini, Grok) receive identical prompts with built-in anti-hallucination guards. Read methodology →
ServiceNow got a boost from a Wall Street analyst in a note on Monday.
The stock is far off its highs, despite posting generally solid revenue and earnings growth.
The analyst believes ServiceNow will be an AI winner, rather than a victim.
Shares of enterprise software giant ServiceNow (NYSE: NOW) rallied roughly 8.4% on Monday as of 3:23 p.m. EDT.
ServiceNow has been a casualty of the "SaaS-pocalypse" this year, in which the emergence of AI agents, especially Claude Code from AI firm Anthropic, is prompting investors to consider whether new AI companies could disrupt traditional enterprise software-as-a-service stocks.
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Despite a declining stock price, ServiceNow has continued to deliver solid growth numbers, while its management has maintained that it sees AI as an opportunity, not a risk. Today, one Wall Street analyst agreed, issuing a very positive note on the stock.
In a note today, Bank of America analyst Tal Liani restarted coverage of ServiceNow, giving the stock a Buy rating and a $130 price target, relative to the $95 stock price at which ServiceNow started the day.
Liani believes that while AI may be disruptive to single software point solutions, ServiceNow is likely a survivor, since its software spans multiple systems within an enterprise, acting as an enterprise's connective tissue. That means ServiceNow's software suite occupies a "deeply embedded mission-critical position within enterprise workflows, serving as the system that governs, routes, approves, and audits activity across organizations, making the displacement costly and complex."
This echoes what ServiceNow management has been saying all along: that its systems are likely to be a governor of AI agents, rather than a victim of them. ServiceNow rolled out its AI Control Tower about a year ago, ahead of AI agents becoming mainstream, and has also been adapting through hybrid pricing models that blend traditional seat-based subscriptions with usage-based plans.
If ServiceNow can avoid disruption, Liani believes the stock can grow revenue by 18% to 22% through 2028, while maintaining free cash flow margins of 35% to 37%.
If Liani is correct and ServiceNow maintains the midpoint of those growth and margin figures, its 2028 revenue could land around $22.90 billion, with roughly $8.25 billion in free cash flow.
Even after today's jump, ServiceNow's market cap is only $106 billion, which is less than 13 times that free cash flow figure. That makes for a cheap stock -- provided, of course, that ServiceNow successfully adapts to the AI age.
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Bank of America is an advertising partner of Motley Fool Money. Billy Duberstein and/or his client have positions in Bank of America and ServiceNow. The Motley Fool has positions in and recommends ServiceNow. The Motley Fool has a disclosure policy.
The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.
Four leading AI models discuss this article
"ServiceNow's valuation appeal rests on untested AI governance tools successfully preventing displacement by agentic platforms."
BofA's Buy rating and $130 target on ServiceNow highlights its potential to govern rather than be displaced by AI agents, thanks to the embedded workflows and AI Control Tower. Projected 18-22% revenue growth through 2028 and 35-37% FCF margins could justify the $106 billion market cap at under 13 times 2028 free cash flow if hybrid pricing scales. The rally ignores that ServiceNow remains well below prior highs amid ongoing SaaS disruption fears, with execution on agent orchestration still unproven at enterprise scale.
Specialized AI platforms could integrate directly into core enterprise systems and sidestep ServiceNow's orchestration layer entirely, causing growth to fall short of 18% and leaving the stock expensive even after the pullback.
"ServiceNow's valuation discount is real, but it prices in execution risk that a single analyst call hasn't resolved—the stock needs Q2/Q3 guidance confirmation that AI adoption is accelerating NOW's TAM, not cannibalizing it."
BofA's $130 PT implies 37% upside from Friday's close, but the valuation math hinges entirely on execution. At 13x 2028 FCF, NOW trades at a significant discount to historical SaaS multiples—justified only if AI disruption risk is genuinely contained. The 'connective tissue' thesis is plausible but unproven: ServiceNow must prove it can embed AI governance into workflows faster than point-solution competitors can build horizontal capabilities. Liani's 18-22% revenue CAGR through 2028 assumes NOW maintains pricing power and land-and-expand velocity despite AI commoditization pressures. The restart of coverage after a gap suggests institutional repositioning, but one analyst call doesn't validate the thesis.
If AI agents genuinely reduce the need for workflow orchestration (by automating decisions end-to-end), NOW's 'governor' positioning becomes a feature nobody pays premium multiples for. A single analyst call after a coverage gap is thin evidence of a consensus shift.
"ServiceNow's ability to maintain high free cash flow margins depends entirely on whether they can successfully transition from seat-based licensing to a value-based AI consumption model without triggering a revenue cliff."
The BofA note on ServiceNow (NOW) is a classic 'moat protection' thesis, but the market's 8% reaction highlights how desperate investors are for a narrative that AI isn't just a deflationary force for software margins. At ~13x forward free cash flow, the valuation looks attractive if you buy the 'connective tissue' argument. However, the article ignores the primary risk: ServiceNow’s pricing power. If AI agents commoditize the underlying processes NOW manages, the 'system of record' status becomes a liability, not an asset. If customers can automate workflows via cheaper, agentic models, ServiceNow’s seat-based pricing model will face massive downward pressure, regardless of how 'embedded' they are.
If ServiceNow truly becomes the mandatory 'governor' for all enterprise AI agents, they are effectively taxing the entire AI revolution, which would justify a significant valuation premium over current levels.
"ServiceNow can sustain 18-22% revenue growth through 2028 with 35-37% FCF margins, supported by AI Control Tower and hybrid pricing, justifying roughly a 13x forward FCF multiple and upside from today."
Today's rally hinges on a plausible AI-acceleration thesis for NOW: a platform moat and hybrid pricing that locks in enterprise customers. Yet upside relies on a multi-year path—18-22% revenue growth through 2028 with 35-37% free cash flow margins—dependent on sustained AI adoption and customer stickiness. The biggest risk is not just competition or pricing pressure, but a faster shift to modular AI stacks or AI copilots by hyperscalers that undercut NOW’s value. If growth slows or margins compress, the stock’s roughly 13x forward FCF multiple could re-rate lower, even if the company beats near-term estimates.
The strongest countercase is that AI disruption could unfold faster and more cheaply than the thesis assumes, with customers opting for bundled, hyperscale AI solutions that erode NOW’s pricing power. A macro shock or markedly slower IT spending could amplify that risk and compress multiples well before 2028.
"ServiceNow could expand its TAM if competitors integrate instead of compete, but only if governance proves out quickly."
ChatGPT overlooks the second-order effect where successful AI agent orchestration by ServiceNow could force competitors like Salesforce to integrate rather than displace, potentially expanding NOW's TAM beyond current estimates. However, this hinges on proving governance at scale within 18 months, not years. If that timeline slips, the projected 18-22% CAGR faces immediate compression from lost deals in the current cycle.
"ServiceNow's 18-month governance proof window is longer than the AI competitive cycle, and Salesforce's scale makes TAM expansion unlikely without forced integration."
Grok's TAM-expansion thesis assumes Salesforce capitulates rather than builds competing orchestration. But Salesforce has Einstein and $30B+ revenue to fund AI governance in-house. The real risk: if ServiceNow needs 18 months to prove scale, competitors ship faster with 'good enough' solutions. Execution timeline compression isn't just a NOW problem—it's an industry-wide AI velocity problem that BofA's 2028 projections may not price in.
"ServiceNow's moat is structural enterprise inertia and entrenched workflow data, which is far harder for competitors to displace than simple feature parity."
Claude, you’re missing the friction of enterprise inertia. Salesforce’s Einstein isn't an 'orchestrator'—it’s a data silo. ServiceNow’s strength isn't just code; it’s the existing, deeply entrenched ITIL (IT Infrastructure Library) workflows that act as the 'system of record' for enterprise operations. Replacing that infrastructure is a multi-year migration nightmare for CIOs. The risk isn't competitors shipping 'good enough' solutions; it's whether ServiceNow can pivot its legacy UI/UX to handle agentic workflows before internal technical debt kills their agility.
"Governance-layer stickiness could preserve pricing power despite AI commoditization, due to ITIL-aligned workflows and data-network effects; the real wildcard is execution speed and real-world migrations."
Gemini, you raise pricing risk if AI commoditizes processes. I’d push back: the value of ServiceNow’s ITIL-aligned governance is not easily replicated; it creates data-network effects and switching costs that help preserve pricing power even as adoption scales. The real risk is execution speed—if NOW can't prove scalable governance quickly, customers pause investments, but if they succeed, the moat could remain intact longer than implied. Timeline and real-world migrations remain the wildcard.
The panel's discussion on ServiceNow (NOW) highlights its potential to govern AI rather than be displaced, with projected 18-22% revenue growth and 35-37% FCF margins. However, the key risk is a faster shift to modular AI stacks or AI copilots by hyperscalers that could undercut NOW’s value, and the key opportunity lies in successful AI agent orchestration that could expand its total addressable market.
Successful AI agent orchestration expanding TAM
Faster shift to modular AI stacks or AI copilots by hyperscalers