CRM Salesforce, Inc. : Bullish and Bearish Analyst Opinions

Software stocks are now value stocks.

Salesforce is cited as a more general-purpose CRM. While it has scale, its product is less specialized and not tied to legally dangerous switching. The general-purpose nature makes it theoretically easier for AI to displace or compete with, compared to highly specialized regulated software. It is viewed as "more at risk" within the SaaS sector, despite its scale, suggesting relative caution compared to more niche players. Its massive scale, ecosystem, and resources could allow it to integrate AI successfully and maintain dominance.

CRM trades at 10.59 P/FCF with 14.34% 5-year annualized revenue growth. The company has solid management, consistent growth, and is positioned to benefit from AI rather than be disrupted by it, all while trading at a cheap free cash flow multiple. Buy CRM as a value-priced tech incumbent with AI tailwinds. AI integration fails to drive top-line growth or margins compress.

Cramer states Salesforce is in a space "considered guilty until proven innocent thanks to the rise of AI" and questions how it can make as much money if AI allows for fewer workers, reducing per-seat SaaS revenue. The dominant market narrative is that AI-driven productivity gains will reduce headcount, directly threatening the per-user pricing model of SaaS companies like Salesforce, creating a persistent overhang on the stock. AVOID because the stock is caught in a negative thematic shift that outweighs its strong individual products (like agentic software and Slack), making it vulnerable to continued selling pressure. Salesforce demonstrates that its AI tools actually drive increased product adoption and higher revenue per customer, disproving the workforce reduction thesis.

A detailed DCF model under base-case assumptions yields an intrinsic value of $263.79 per share versus a recent market price of ~$187. This implies a ~29% margin of safety, as the market is discounting CRM due to near-term SaaS sector woes, underestimating its future margin expansion and cash generation. The stock is undervalued based on the author's analysis of its growth, operating leverage, and cost of capital. Failure to achieve modeled margin expansion (bear case EBIT margin of 24%), higher cost of capital (9.0% WACC), slower terminal growth (1.5%), or prolonged sector downturn.

Salesforce scored a near-perfect 4.0 on the AI resilience framework based on its anonymized 10-K. Despite being highly resilient to AI disruption (system of record, high user stakes), the stock is down 28% YTD in an indiscriminate SaaS selloff. The market has unfairly punished CRM, creating a value opportunity for a structurally defensible business. The 10-K language may overstate the business's moat, and the AI scoring model might have inherent biases.

Salesforce has $50B buyback program, strong AI growth in Slack and Agent Force, and reported record quarters. Software value increases with AI integration, not decreases, and stock is considered too cheap by CEO. LONG due to undervaluation, buyback support, and AI-driven growth prospects. Market continues to disregard enterprise software despite strong fundamentals.

Industry expert warns specialized software providers must innovate quickly to prevent enterprises from building internal AI solutions.

Salesforce (CRM) is trading at 13-14x forward earnings, a historically cheap valuation. It is critically ingrained as the "system of record" in many regulated business processes. Activist investors like Starboard Value have taken positions. Its entrenched position in regulated industries (e.g., healthcare) provides durable revenue and high switching costs, protecting it from AI disruption. Activist involvement pressures management to improve capital allocation and profitability. LONG due to a wide margin of safety at current prices, durable competitive advantages, and catalysts from both operational improvement and shareholder activism. The company fails to demonstrate that its AI investments are improving earnings, leading to prolonged growth stagnation and a "value trap."

CRM has sold off to $195. A DCF using analyst consensus (10% revenue growth, 49% future EBITDA margin) yields a $320 intrinsic value. The valuation is highly sensitive to margin expansion. At current 32% margins, intrinsic value is $205 (fairly valued). Any margin expansion between 32% and 49% creates a margin of safety and upside. CRM presents a potential value opportunity, but investors must critically evaluate whether a 49% EBITDA margin is achievable before initiating a long position. Heavy AI investment requirements and fierce competition from MSFT and NOW could prevent the required margin expansion.

Bought 2,570 shares @ $194.62

"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.

We were worried about before this military strike in Iran, which was the AI apocalypse, you know, sort of a whodunit, which industries is it going to kill or do serious damage to like software as a service. AI agents and automated tools are increasingly capable of performing tasks that previously required human workers. Because traditional SaaS companies charge per-seat licensing fees, a reduction in human headcount directly destroys their revenue models and pricing power. Short legacy SaaS providers and sector ETFs as AI cannibalizes their core business models. Legacy SaaS companies successfully integrate AI into their platforms and charge premium subscription tiers, offsetting the loss of human seats.

This is where you get all the conversation about the SaaS apocalypse and that all these companies and Salesforce is going to have to refigure out how it's operating and running and how it's selling its product. Legacy software-as-a-service companies rely on per-seat pricing models. As AI agents become capable of doing the work of human sales or customer service reps, enterprise headcount will shrink, directly cannibalizing Salesforce's core seat-based revenue model. AVOID. Legacy SaaS giants face structural headwinds as AI agents replace human software users. Salesforce successfully pivots its pricing model to outcome-based or agent-based billing, capturing the value of AI productivity for itself.

Say a Blackstone company uses Cloud to replace a bunch of point solutions... Nobody cancels Salesforce because they saw a cool demo, but PE firms, they have board control, IRR targets and a ticking clock. Traditional enterprise SaaS relies on high switching costs and sticky recurring revenue. However, PE-owned companies are highly incentivized to cut costs and have the top-down authority to rip out expensive software seats (like Smartsheet or Salesforce) in favor of cheaper, bundled AI agents. This will lead to unexpected churn and revenue destruction for legacy SaaS providers. AVOID legacy enterprise SaaS companies, as they face unprecedented churn risks from cost-conscious, PE-backed clients. AI agents may fail to replicate the complex, compliant workflows of established SaaS platforms, forcing companies to maintain their traditional software subscriptions.

"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.

Salesforce is levering up and taking on debt to buy back stock, which is the playbook of IBM and old Oracle, while paying about $3.5 billion a year in stock comp. Borrowing heavily to fund buybacks rather than investing in AI infrastructure or M&A signals that management may lack high-return internal growth opportunities. Furthermore, a significant portion of the buyback simply absorbs stock-based compensation dilution rather than creating true shareholder value, leaving the company vulnerable if its core growth slows. AVOID. Tripling the company's debt to engineer earnings per share, while organic AI revenue remains under 2 percent, presents an unfavorable risk profile compared to faster-growing software peers. If AI disruption fears are overblown and Agentforce scales rapidly, the leveraged buyback will result in massive EPS accretion and drive the stock significantly higher.

"Salesforce, the poster child of the software sell off, tripling its debt to prop up the stock price is a gamble that AI disruption fears are overblown... Agent Force is actually still less than 2% of total revenue." Borrowing heavily to fund stock buybacks instead of investing in AI infrastructure or M&A signals that management lacks organic growth ideas. Furthermore, these buybacks largely serve to mask the dilution from $3.5 billion in annual stock-based compensation, making the company look more like a legacy tech stock (e.g., old IBM) than an AI pioneer. AVOID CRM as its reliance on financial engineering fails to address underlying concerns about AI disruption and slowing core growth. Management's conviction is correct and the stock is truly undervalued, or Agentforce adoption accelerates enough to meaningfully impact the top line.

"IGV Software kind of getting crushed today... Adobe's down 3.5 right now. Apple down one. Full retrace. Salesforce getting crushed." High-multiple software stocks are showing significant relative weakness and heavy selling pressure at the market open, despite broader market indices remaining relatively flat. This indicates a deliberate sector rotation by institutions away from enterprise software amid rising geopolitical and macroeconomic uncertainty. AVOID. The price action is highly negative, suggesting further downside momentum and a lack of near-term buyers for enterprise software names. A sudden macro risk-on rally or complacency bounce could cause heavily shorted or sold-off tech names to squeeze higher unexpectedly.

"Somebody like Salesforce that might buy back $50 billion of stock over the next year and issue $25 billion of debt... just to protect their stock and will be beat up pretty bad and widen a lot more." Unlike mega-cap peers (Amazon, Microsoft) who are issuing debt to fund productive AI infrastructure, Salesforce is using debt for financial engineering (buybacks) to prop up its stock price amid concerns about the long-term viability of legacy software in an AI-driven world. AVOID. Debt-funded buybacks signal a lack of organic growth opportunities and defensive management behavior. Salesforce successfully integrates AI into its CRM suite, reaccelerating organic growth and proving the legacy software model remains sticky.

"They've been pitching it to companies like Salesforce, Cisco and Google." Enterprise software and networking giants are the primary distribution channels for B2B AI agents. If Salesforce and Cisco integrate Nvidia's autonomous, open-source agents into their existing enterprise platforms, it could significantly accelerate their own AI monetization timelines without requiring them to build the foundational agent architecture from scratch. WATCH. Monitor for official partnership announcements regarding Nemo Claw integration, which could serve as a catalyst for their respective AI product revenues. Enterprise adoption of autonomous AI agents may face regulatory, security, or data privacy hurdles, delaying the financial impact for these distributors.

The company is engaging in poor capital allocation by taking on significant debt to fund buybacks while its fundamental business is in decline.

I just don't think paying extra for AI is a thing. Adobe's not successful with Firefly. Salesforce is trying it with Agent force. Microsoft just said they're going to charge you an extra 99 bucks and they want you to pay extra for Copilot. Legacy SaaS companies are trapped in an innovator's dilemma. They rely on seat-based subscriptions, but corporate layoffs are shrinking total seat counts. To compensate, they are trying to charge premium add-on fees for AI tools. However, enterprises are refusing to pay extra for what they view as basic functionality. Furthermore, heavy AI usage consumes internal cloud capacity (such as Azure for Microsoft), creating a high-cost infrastructure loop that degrades overall margins without driving proportional revenue growth. AVOID traditional seat-based software giants attempting to force AI price increases, as they face severe enterprise pushback, shrinking seat counts, and rising internal compute costs. AI tools prove so undeniably productive that enterprises capitulate and pay the premium fees, or these companies successfully pivot to consumption-based pricing without suffering a revenue dip.

"There's the under the valley disruption period first. And that's the job losses that you're going to see from the Adobe's, the CRM... Jack Dorsey with Block, he wiped out 40% of his labor force." AI is not just creating a productivity boom; it is actively destroying traditional software business models. This disruption is causing massive layoffs and creating a credit crisis within leveraged loans tied to the software sector, which will severely compress the valuations of legacy SaaS and fintech companies. SHORT as AI disruption accelerates fundamental business decay and credit crises within the software sector. These companies could successfully integrate AI into their own products to drive new revenue streams, offsetting the disruption to their legacy business models.

"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).

"Salesforce, Intuit, DocuSign, Thomson Reuters they're closing this gap... [between what AI can theoretically do and what it is actually doing]." There is a massive "deployment gap" in Office, Legal, and Sales workflows. These specific incumbents are not being disrupted; rather, they are the vehicles through which enterprises are adopting AI to close that gap. They are capturing the value of the "Second Wave" of AI adoption. LONG the "Gap Closers"—legacy software platforms embedding AI into critical workflows. "Capital light" names are currently underperforming the HALO basket; these stocks may face headwinds if the market continues to favor heavy assets over software.

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.