SN ServiceNow, Inc. : Bullish and Bearish Analyst Opinions

The author explicitly states buying LEAPS on NOW during the recent market dip. High-quality SaaS companies were unfairly punished by AI disruption fears, creating a discounted entry point. Go long via LEAPS to capture the recovery as sentiment stabilizes. AI disruption severely impacts traditional SaaS models.

ServiceNow (NOW) stock is held at $93/share, and the author has sold a put with an $80 strike. The cash-secured put strategy allows the author to buy more stock at a lower price ($80) if it dumps or keep the premium if it rips, expressing a bullish but cautious view. A bullish, income-oriented position that seeks to capitalize on stability or upside in NOW. Stock declines sharply below $80, forcing assignment at a higher cost basis than the market price; fundamental deterioration.

ServiceNow shares fell 8%, extending a weekly loss to 19%, after a UBS downgrade to Neutral. The hosts noted the stock is seen as "vulnerable to an AI disruption." The downgrade and sustained sell-off reflect a growing concern that AI-native tools could disrupt or disintermediate aspects of ServiceNow's legacy workflow software business. AVOID due to a clear loss of analyst conviction and a thematic headwind (AI disruption) that may pressure its valuation and growth narrative in the near term. ServiceNow successfully integrates AI to defend and enhance its platform, negating the disruption threat.

The author has a pre-existing long position in NOW with a $104 cost basis, and the stock is now trading in the $80s, presenting a ~20%+ drawdown from their entry. The author perceives the lower price as an opportunity to average down and improve their overall cost basis, implying a belief that the current price is attractive relative to its longer-term value. The trade idea is to add to a losing position to lower the average cost, based on the premise that the recent decline is an overreaction or a temporary weakness. The primary risk acknowledged is the "falling knife" scenario—that the price decline will continue after purchase. Broader risks from comments include AI disrupting NOW's seat-based pricing model and slowing growth.

The community identifies a severe and "irrational" sell-off in SaaS stocks, with ServiceNow specifically mentioned as "just keeps tanking." A user is systematically adding to their position (11% more shares) at a defended cost basis, viewing the decline as a buying opportunity for a quality business. The trade is a contrarian long based on the belief the sell-off is overdone and fundamental metrics (non-current RPO, DBGRR) will support recovery. The broad market sentiment is that "all software is Chegg now," indicating fear that the sell-off may not be irrational and could have further to go. MSFT (Microsoft) - WATCH | confidence: 0.60 | sentiment: -0.30 Speaker: u/UnObtainium17, u/fakemedicines, u/CAFN8TD Thesis: Multiple concerns: France plans to transition government PCs from Windows to Linux, a user plans to buy only at $350 (significantly lower), and another mirrored a Congress member's call options. The Linux news poses a potential threat to Microsoft's OS moat in Europe, creating fundamental uncertainty. The option trade and price target suggest the community sees near-term downside or volatility. The stock is in a "watch" zone due to mixed signals: political headline risk, bearish price targets, and speculative option activity implying a volatile move. This could be an overreaction to a single government contract; MSFT's broader cloud business may offset any OS weakness. NBIS (Nabis Holdings Inc.) - AVOID | confidence: 0.70 | sentiment: +0.70 Speaker: u/catpicsforfree, u/UnrivalledPG Thesis: The stock has had a massive run ("what a run over the last 5 days"), and a user sold for a 90% gain, citing a chart that was "looking a little too vertical." Profit-taking after a parabolic move suggests the smart money is exiting, viewing the short-term risk/reward as unfavorable despite long-term liking. The community action implies the easy money has been made. The trade idea is to avoid chasing or consider taking profits. The stock could continue its run, as another user is cheering it on ("Let's go!"). SOFTWARE SECTOR (SaaS) - LONG | confidence: 0.65 | sentiment: -0.20 Speaker: u/ImNotAnEnigmaa, u/Commercial_Seat_3704, u/deevee12 Thesis: The community observes a broad and "incredible" software capitulation, described as one of the most irrational sell-offs in a long time. This creates a potential mean-reversion opportunity to buy high-quality SaaS names (e.g., NOW, VEEV, IOT, GWRE) at depressed prices, as some are already doing. The sentiment is bearish now, but the trade is a contrarian long on the sector, betting the panic is overblown. The market may be pricing in a fundamental shift, not just a cycle ("The market believes all software is Chegg now"). ISRG (Intuitive Surgical) - WATCH | confidence: 0.55 | sentiment: +0.30 Speaker: u/Puzzleheaded-One-607 Thesis: The stock is "starting to tempt" a user as its valuation, while still not cheap, has become less extreme (PEG of 2.2). The price decline may be bringing a premium-quality business with a strong moat into a more reasonable range for accumulation. The community signal is to watch for an entry point in a stellar business as sentiment cools from historically crazy valuations. It is explicitly stated as "still not cheap at all" and "expensive," so the downside remains if growth slows.

The author argues that current fear in the market has created a long-term buying opportunity for ServiceNow stock.

ServiceNow shows strong fundamentals: ~21% subscription growth, 98% renewal rate, 35% FCF margin, and a large, growing backlog (cRPO +25% YoY). The market cap of ~$109B implies a ~5.3% forward FCF yield. The market is pricing NOW for meaningful trouble (AI disruption, competition), but the business exhibits infrastructure-like stickiness and continued enterprise commitment, creating a disconnect between price and intrinsic value. The author's base-case DCF values NOW at ~$160/share, with the current price (~$104) near the bear-case scenario, presenting a favorable risk/reward for a high-quality compounder. AI disruption weakening its platform value, integration risks from acquisitions, high Stock-Based Compensation (SBC) diluting per-share metrics, and prolonged multiple compression.

Santi names ServiceNow as a specific position he holds, citing a disconnect where some enterprise software/SaaS names are trading at compelling multiples. His background as an enterprise software analyst informs this view. He is accumulating equities he wants to hold long-term as they trade down. WATCH. He holds a position and finds the valuation compelling, but it is presented as part of a broader basket of opportunities rather than a standalone high-conviction call. Enterprise IT spending contraction in a recession; competition in the SaaS space.

The author is taking a long position on ServiceNow ($NOW) based on the company's strategic positioning and strength in the emerging Agentic AI sector.

The author loses conviction in a legacy SaaS turnaround after negative executive commentary regarding ServiceNow.

Chamath presents chart showing SaaS companies like Snowflake had high valuation multiples (e.g., ~100 years to repay via free cash flow in 2023) that are now compressing sharply. AI disruption threatens the durability of cash flows, leading markets to rerate these companies based on perceived fragility in a world of potential superintelligence. Avoid due to valuation reset and increased discount rates applied to future cash flows. If AI disruption is slower or less severe than expected, cash flows may remain durable.

Cramer states that the Software-as-a-Service (SaaS) business model is "disliked intensely right now on Wall Street," creating sector-wide headwinds. Despite ServiceNow being a "great growth stock" with a cheap multiple, the intense negative sentiment toward its entire sector will override its individual quality. The stock is likely to face more "turbulence" and should be avoided until sector sentiment improves. A rapid shift in market sentiment favoring high-quality SaaS names.

NOW dropped 50% on AI fears, but grew revenue 21%, generated $4.6B in FCF, and trades at a 26x forward P/E with the CEO recently buying $3M in stock. The market has overreacted to the AI narrative, creating a mispricing for a historically consistent compounder with improving margins and strong insider conviction. Go long NOW as a growth-at-a-reasonable-price opportunity, capitalizing on the AI panic drawdown. Thin DCF margin of safety; still trades at a premium to sector peers; AI could actually disrupt the workflow business model.

ServiceNow (NOW) has experienced a significant price correction of 25-40+% from its peak. Even after this drop, the stock maintains a high P/E ratio (35+), which raises valuation concerns for a value-oriented investor. The author is using NOW as an example of a high-quality growth company whose valuation remains a hurdle, questioning if its "historically low" P/E is a meaningful value signal. ServiceNow's strong position in enterprise workflow automation could lead to durable, high-margin growth, justifying its premium valuation and making the current price an attractive entry point for growth investors.

"I'm never going to bet against Bill McDermott... I do think that the company represents actual value at these prices." Trust in the CEO's leadership and a belief that the current stock price offers value despite sector headwinds. A vote of confidence in management suggests the stock is a hold or buy for investors with a long-term view. Slowing growth in the enterprise software sector, increased competition, and high valuation multiples.

I'm really excited about these companies that are going into companies and getting extremely hands-on and doing effectively professional services with AI because we've saturated all the emails and you need to get proximate to the problems. The initial wave of AI adoption was horizontal (basic chatbots and email drafting). The next wave of massive value creation is vertical and outcome-based. Companies like Palantir and ServiceNow that embed AI directly into complex corporate workflows to act as automated professional services will capture this next enterprise TAM. LONG. Enterprise AI integration is moving from basic API calls to deep, hands-on operational execution, heavily favoring established platforms with deep enterprise access. Enterprise sales cycles are notoriously long, and internal IT departments may attempt to build these integrations in-house using open-source models.

"I see institutional purchases going in large volumes for ServiceNow... CRM and MSFT have excellent cash flows, are fundamentally attractive, and are testing support zones." While the broader market faces volatility, high-quality enterprise software companies with robust cash flows are being actively accumulated by institutions on dips. These technical support tests offer asymmetric entry points for long-term capital. LONG. Strong fundamentals combined with visible institutional buying at technical support levels. A systemic market sell-off that drags down all high-beta tech stocks regardless of individual cash flow strength.

"I would not be bullish on buying writ large because I do think there is some real existential risk to software. The type used for pure optimization is fertile ground for any type of AI disruption. You need to have some proprietary data sets and regulatory variables." Generative AI will commoditize basic optimization and workflow software. However, enterprise software companies that own massive, proprietary data moats and operate in complex regulatory environments will be insulated from AI disruption and can actually monetize AI features effectively. Long high-quality enterprise software companies with deep proprietary data moats, while avoiding speculative, narrative-driven tech. A broader macroeconomic slowdown could cause enterprise IT budgets to contract, hurting even high-quality software vendors.

"You'll see very quickly that there would be a bit of a dispersion between business models, which will have long enduring value over a long period of time, whereas some business models, which probably are not nimble enough or not using it enough, will probably see the valuation even go down further." The software sector is entering a phase of AI-driven dispersion. Incumbent SaaS companies that successfully integrate and monetize AI will capture market share and command premium valuations, while laggards will de-rate and become consolidation targets. LONG high-quality, large-cap software companies that are leading in AI integration. AI monetization takes longer than expected, or macroeconomic headwinds compress software multiples across the board.

"Our mission is that anyone can create software... naturally, their assets become less valuable. What we are seeing is that people who previously had different software providers... build out their own technology stack." AI-assisted coding is democratizing software creation. Legacy SaaS companies that charge high recurring licensing fees will face massive churn as enterprise clients realize they can use AI to build and maintain their own custom internal tools for a fraction of the cost. SHORT. The moat for traditional enterprise software is evaporating, which will lead to structural multiple compression and declining profit margins across the sector. Legacy SaaS companies successfully integrate AI into their own platforms, creating enough added value to justify their pricing and retain enterprise clients.

"It's the view that these LLMs or anything that comes out is going to be the demise of software... I think Palantir has been a great example of it. I think Oracle... Salesforce ServiceNow... I think this is going to continue to be a generational buying opportunity for the winners." The market is pricing in an "AI ghost trade," assuming standalone LLMs will make traditional SaaS obsolete. In reality, raw LLMs lack enterprise utility without proprietary data and integrated workflows. Incumbent software providers own the data and the customer relationships, meaning they will successfully monetize AI features rather than be replaced by them. LONG. The current sector bottoming is based on a fictional narrative, offering a rare chance to buy dominant enterprise software companies at a discount before their AI modernization fully reflects in earnings. If enterprises actually begin abandoning traditional software stacks to build custom, in-house solutions directly on top of raw LLMs (like Anthropic or OpenAI), these incumbents could lose pricing power and market share.

ServiceNow, Datadog, and Shopify have all bounced back from the severe software sell-off. The market is picking winners in that sell-off and CRM just isn't one of them yet. Investors are actively rotating capital out of legacy software companies relying on financial engineering and into high-quality names that are successfully maintaining organic growth and navigating the AI transition. These relative strength leaders will continue to capture premium multiples as capital concentrates in proven winners. LONG. These companies have proven their resilience and are being rewarded by the market as structural leaders in the enterprise software space. A broader macroeconomic slowdown or a sector-wide multiple compression could disproportionately impact these higher-valuation growth names regardless of their individual execution.

"While other software names like ServiceNow, Datadog, Shopify, well, they have bounced this month, Salesforce is flat, so the market is starting to pick favorites in the SaaS selloff." Investors are actively rotating capital within the software sector, moving away from legacy names struggling with growth and into resilient SaaS companies that are successfully navigating the AI transition. LONG NOW, DDOG, and SHOP as they are emerging as the market's preferred winners in the current software environment. A broader macroeconomic downturn or a sector-wide SaaS multiple compression could drag down these names regardless of their individual outperformance.

"We trim [Walmart] back and we look for undervalued opportunities. Spotify and ServiceNow have been clobbered by the market... We add to the names of the highest quality companies." During periods of macro panic (such as the recent Middle East escalation), high-quality software and consumer tech names often sell off indiscriminately as investors rush to safety. This provides a strategic window to reallocate capital from defensive outperformers (like Walmart) into high-growth tech leaders at a discount. LONG. Buying best-in-class tech and software companies during geopolitical dip-selling has historically generated strong returns once the immediate panic subsides. A sustained period of high inflation and high interest rates could further compress the valuation multiples of high-growth tech stocks.

The author makes an explicit and high-conviction recommendation to buy ServiceNow, implying a strong fundamental or technical case for significant upside.

"Nothing is replacing that layer and that data... salesforce, service now, Microsoft." Investors fear AI models will bypass traditional software interfaces. Ives argues that these companies own the *data layer* and the customer record. AI is a feature added *to* these platforms, not a replacement *for* them. LONG. These are the "core tech winners" to own through the volatility. Enterprise IT budget cuts due to macro headwinds (Iran conflict/inflation).

Cramer observes a rotation where "Halo" trades (Industrials) are selling off, while Enterprise Software stocks (Broadcom, ServiceNow, Workday, Adobe, Salesforce, Veeva) are bouncing. The market previously punished these software stocks on the belief that AI (Anthropic/OpenAI) would make them obsolete. Cramer argues this is "absurd" because these companies are fiercely pivoting to integrate AI. The rotation suggests the "death by AI" narrative was priced in too aggressively, creating a rebound opportunity. LONG. Buy the rebound in enterprise software as the "Halo" trade unwinds. Continued oil price spikes could drag down the entire growth sector regardless of the rotation.

"Perhaps because of the stellar earnings from Broadcom... maybe it's because of the bounce that we saw in ServiceNow, Workday, Adobe, Salesforce, and now Veeva Systems... There's been a widespread belief that anything enterprise software can and will be [replaced by AI, but that is reversing]." The market had aggressively sold off enterprise software under the fear that AI would render these SaaS models obsolete. Broadcom's earnings served as a "reality check" catalyst, proving these companies are resilient. This triggers a short-squeeze or value rotation back into high-quality software names that were oversold. Capital is rotating back into software as the "AI death" narrative is disproven by actual earnings. If bond yields spike again, high-duration assets like software could face renewed pressure regardless of the AI narrative.

These "Big Four" enterprise software stocks are rebounding (e.g., Salesforce up from $181 to $196) after earnings reports. The narrative that "AI will replace all software" is proving overblown. The Department of War breaking with Anthropic suggests AI models aren't invincible, making established software players look attractive again after the sell-off. Long the rebound in established enterprise software. Actual churn in their customer base due to AI agents replacing seats.

The "Big Four" enterprise software companies (Adobe, Salesforce, ServiceNow, Workday) have been battered by the narrative that AI (Anthropic/Vibe Coding) will make them obsolete. However, Workday and Salesforce recently rallied despite reporting "disappointing" or "not great" quarters. When stocks rally on bad news, it indicates the negative sentiment is fully priced in. The fear that AI will "wipe out" these firms is receding, or at least the Department of War's break with Anthropic suggests AI disruptors aren't invincible. Long these "Big Four" names as they U-turn from the AI-death narrative. Re-acceleration of AI capabilities that genuinely threaten seat-based software licensing models.