BIT Research | AI Meets SaaS: Who is the Tear of the Times, and Who is Turning the Tide Against the Wind?
- Core Thesis: In early 2026, Wall Street experienced an AI-driven valuation restructuring of the software industry. The traditional SaaS per-seat pricing model faces fundamental challenges, but the industry is not ending; instead, it is shifting towards a new paradigm centered on proprietary data, outcome-based pricing, and AI governance.
- Key Elements:
- Following Anthropic's launch of products like Claude Cowork, the SaaS sector evaporated $285 billion in market capitalization within 48 hours, with the sector's forward P/E ratio compressing from 84x to 22.7x, resulting in cumulative market cap losses of $1-2 trillion.
- The traditional SaaS per-seat pricing model is under pressure, as the core logic is that AI agents can replace a large amount of human labor, leading to a sharp decline in the number of software seats required by enterprises.
- Bullish arguments include: proprietary data moats (e.g., Salesforce's CRM data), high switching costs (replacement takes years and millions of dollars), and the essential need for compliance and governance.
- The fundamentals of the leading companies being sold off remain resilient: ServiceNow's revenue grew by 22%, Salesforce generated $41.5 billion in revenue, and HubSpot grew by 19%, indicating the industry is not collapsing.
- Three counter-strategies for SaaS companies: building proprietary AI agents, shifting pricing models from "per head" to "per outcome" (which Goldman Sachs calls Results-as-a-Service), and becoming the AI governance layer.
- Half of ServiceNow's net new business was secured through non-seat-based pricing, a key data point for industry transformation; its Now Assist ACV target was raised from $1 billion to $1.5 billion.
- Gartner predicts that by 2030, 35% of SaaS point tools will be replaced by AI agents, but infrastructure for ERP, HR, and compliance will be more defensible due to high migration costs.
Key Data: Global SaaS Market (2025) ~$408 billion | SaaS sector market cap evaporates ~$2 trillion | IGV Software ETF down ~22% YTD | Salesforce FY2026 revenue $41.5 billion | ServiceNow Q1 2026 revenue $3.77 billion
1. SaaSpocalypse: Defining the Historic Event of 2026
In early 2026, Wall Street experienced the largest AI-driven valuation restructuring in the history of the software industry.
Event Timeline:
- January 12: Anthropic releases Claude Cowork, a desktop AI product capable of autonomously executing multi-step workflows across applications.
- January 30: Anthropic open-sources 11 business plugins covering legal, finance, marketing, sales, and customer support.
- February 3-5: Market crash. Within 48 hours, the SaaS sector loses $285 billion in market capitalization.
Core Logic: Traditional SaaS charges per seat. If 10 AI agents can do the work of 100 employees, a business only needs 10 Salesforce seats, not 100. Jason Lemkin's quote circulated widely on Wall Street: "If 10 AI agents can do the work of 100 reps, you need 10 Salesforce seats, not 100."
Scale of Loss: Cumulative market capitalization loss reached $1 to $2 trillion (calculated from peak value). Thomson Reuters recorded its largest single-day drop, and LegalZoom plummeted nearly 20%. The software sector's forward P/E ratio compressed from a peak of ~84x to 22.7x.
2. Is This the End of SaaS, or the Beginning of a Transformation?
Three Bullish Arguments:
Proprietary Data Moat: General-purpose AI agents cannot replace specialized agents trained on five years of a company's own CRM data. Salesforce's data stays within Salesforce; ServiceNow's ticket history stays within ServiceNow – assets that general AI cannot access.
Market Underestimation of Switching Costs: Replacing a deeply embedded enterprise software system involves several years, millions of dollars in costs, and retraining thousands of employees. SaaStr founder Jason Lemkin points out that building a functional application with AI coding tools accomplishes only about 2% of the work required to operate an enterprise software platform.
Compliance and Governance as a Necessity: In regulated industries like banking, healthcare, and government, enterprise software's value lies not just in automation, but in audit trails, compliance records, and access controls. General-purpose AI agents currently cannot replace this functional layer.
Key Data Counterargument: At the peak of the sell-off, ServiceNow beat its performance guidance for the ninth consecutive time, with revenue growth accelerating to 22%. Salesforce recorded $41.5 billion in full-year revenue. HubSpot maintained 19% growth. These are not the numbers of a collapsing industry.
3. How SaaS Companies Fight Back: Three Strategic Pillars
Building Proprietary AI Agents: Training proprietary agents on their own platform data, rather than waiting for third-party agents to replicate their functionality. Agentforce runs on Salesforce's CRM data; Now Assist runs on ServiceNow's ticket data – an advantage general AI cannot replicate.
Pricing Model Transformation: Shifting from "per-head pricing" to "outcome-based pricing." In Q1 2026, half of ServiceNow's net new business was secured through non-seat-based pricing models – the most important structural data point for the entire sector. Goldman Sachs named this new model "Results-as-a-Service."
Becoming the AI Governance Layer: Large enterprises need a trusted platform to centrally manage, audit, and secure the behavior of all AI agents. ServiceNow's "AI Control Tower" and Salesforce's "Agentforce Trust Layer" are competing for this critical infrastructure position.
4. Key Listed Companies to Watch
1. Salesforce (CRM) – "The Agentforce Bet"
- FY2026 Revenue: $41.5 billion, up 10% YoY
- Agentforce Standalone ARR: $800 million, up 169% YoY; Cumulative signings over 29,000
- RPO (Remaining Performance Obligations): $72.4 billion, up 14% YoY, proving customers are not churning
- Approved $50 billion stock buyback
- Key Focus: Can Agentforce independently drive organic acceleration in FY2027, excluding the $1.1 billion contribution from the divested Informatica?
2. ServiceNow (NOW) – "The AI Control Tower"
- Q1 2026 Revenue: $3.77 billion, up 22% YoY (ninth consecutive beat on guidance)
- Now Assist ACV Target raised from $1 billion to $1.5 billion, a 50% single-quarter increase
- Renewal Rate: 97%, stable for six consecutive quarters
- Half of net new business closed via non-seat-based pricing
- CEO McDermott's exact words: "It's going to be over $1.5 billion, we need to increase it by another $500 million plus. It's just incredible."
- Key Focus: A benchmark-level validation of the pricing model transformation, the most important data source for the entire sector to benchmark against.
3. HubSpot (HUBS) – "Holding the Mid-Market Ground"
- FY2025 Full-Year Revenue: $3.13 billion, up 19% YoY; Stock price down 70% to 80% from its peak
- Bulls: Mid-market enterprise customers are even less likely to build their own AI; HubSpot's integrated ease-of-use remains a differentiating advantage.
- Bears: Klarna has publicly announced replacing Salesforce contracts with AI. If the trend spreads to mid-market companies, structural pressure will be hard to avoid.
4. Workday (WDAY) – "The HR Data Moat"
- Employee data, payroll, talent profiles – any AI conducting workforce planning needs Workday's data.
- Key Focus: Compliance and regulatory requirements make HR software one of the hardest SaaS categories to replace.
5. The 2026 Pricing Revolution: The End of the Per-Seat Era
Three models are currently competing across the industry:
- Consumption-Based Billing: Charging by query/task/Token. Revenue is more flexible but with higher volatility.
- Outcome-Based Billing (Results-as-a-Service): Charging by completed tickets, reviewed contracts, or generated leads. Goldman Sachs sees this as the end-state model.
- Hybrid Billing: Retaining platform access via seat licenses, with incremental charges for AI work units. Currently the most widely adopted model.
The Most Important Leading Indicator: Who will be the first to report a quarter where AI outcome-based revenue truly surpasses the seat-based revenue it replaces? This will be the historic data point defining the sector's future valuation logic.
6. Investment Risk Warnings
Not All SaaS Will Survive: Project management, document tools, simple marketing automation – these are the repetitive, rule-based tasks AI agents will attack first. ERP, HR, and compliance infrastructure – these have significantly stronger defenses due to switching costs and regulatory requirements. Gartner predicts: By 2030, 35% of single-point SaaS tools will be replaced by AI agents; 65% will survive, but in a transformed form.
Valuation Compression May Not Be Over: The software sector's forward P/E ratio has compressed from 84x to 22.7x, but if the disruption process outpaces the adaptation speed, there is still room for downward movement. Distinguishing between "the sector is cheap" and "the sector should be cheap" is the most critical judgment call right now.
In-House Build Threat: AI coding tools have significantly increased the feasibility for large enterprises to build custom software in-house. Klarna's case is not an isolated incident; it is a trend signal worth continuous tracking.
Summary
Market participants with a preference for a steady style can observe the changes in fundamental resilience of the sector through ServiceNow or the IGV ETF track. Observers with a growth-oriented perspective can focus on tracking whether Salesforce's Agentforce business can achieve sustainable organic growth momentum. In 2026, SaaS is no longer about selling seats, but about whose platform makes enterprises truly indispensable – whether the workforce consists of humans or agents.
BIT's US stock business connects directly with licensed brokers, covering all core individual stocks and ETFs in the US market. Supports stablecoin deposits/withdrawals, enabling crypto users to capture the 2026 AI stock dividends with one click. Services may be limited due to jurisdictional restrictions and are unavailable in certain regions (including but not limited to Hong Kong).
Data as of April 2026. Sources include: Salesforce Inc. (SEC Form 8-K, February 25, 2026), ServiceNow Inc. (SEC Form 8-K, April 22, 2026), HubSpot Inc. (SEC Form 8-K, February 11, 2026), FinancialContent, Taskade, NxCode, Humai Blog, Goldman Sachs "Results-as-a-Service" research report, JPMorgan Software Sector Analysis, Gartner IT Spending Forecast, Precedence Research, Cirra AI, Fortune, 24/7 Wall St., Redevolution, TechStartups.
Disclaimer: This report is written by Jun, a special analyst for BIT's US stock business, and is for reference only. The individual stocks and ETFs mentioned serve only as industry case studies and public financial data analysis and do not constitute any investment advice, stock recommendations, or trading inducements. Historical trends and institutional forecasts are for reference only and do not represent future market performance or return expectations. Past performance is not indicative of future returns. Investing involves risk, including the potential loss of principal. Clients should consult a qualified financial advisor before making any investment decisions.
