Key Data: Global SaaS market (2025): ~$408 billion | SaaS sector market cap erased: ~$2 trillion | IGV Software ETF down ~22% YTD | Salesforce FY2026 revenue: $41.5 billion | ServiceNow Q1 2026 revenue: $3.77 billion

I. SaaSpocalypse: Defining the Historic Event of 2026

In early 2026, Wall Street underwent the largest AI-driven valuation restructuring in software history.

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, financial, marketing, sales, and customer support.
• February 3 to 5: Market crash. Within 48 hours, the SaaS sector lost $285 billion in market capitalization.

Core logic: Traditional SaaS is priced per seat. If 10 AI agents can accomplish the work of 100 employees, a company needs only 10 Salesforce seats, not 100. Jason Lemkin’s famous quote is widely circulated on Wall Street: "If 10 AI agents can do the work of 100 reps, you need 10 Salesforce seats, not 100."

Loss magnitude: Cumulative market capitalization loss reached $1 to $2 trillion (from peak levels). Thomson Reuters recorded its largest single-day decline, and LegalZoom plunged nearly 20%. The software sector’s forward P/E ratio contracted from a peak of approximately 84x to 22.7x.

II. Is this not the end of SaaS, but the beginning of a transformation?

There are three bullish reasons:

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 resides within Salesforce; ServiceNow’s ticket history resides within ServiceNow—these are assets that general-purpose AI cannot access.

Migration costs are underestimated by the market: replacing a deeply embedded enterprise software system entails years of effort, millions of dollars in costs, and retraining thousands of employees. Jason Lemkin, founder of SaaStr, notes that building a functional application using AI programming tools accounts for only about 2% of the work required to operate an enterprise software platform.

The necessity of compliance and governance: In regulated industries such as banking, healthcare, and government, the value of enterprise software lies not just in automation—but in audit trails, compliance records, and access control. General-purpose AI agents currently cannot replace this layer of functionality.

Key data refutes this: At the moment of the most intense selling, ServiceNow delivered its ninth consecutive earnings beat, with revenue growth accelerating to 22%. Salesforce recorded $41.5 billion in annual revenue. HubSpot maintained a 19% growth rate. These are not the numbers of an industry in collapse.

Three Strategic Pillars for SaaS Companies to Counterattack

Build your own proprietary AI agent: Train a dedicated agent on your platform’s proprietary data instead of waiting for third-party agents to replicate your functionality. Agentforce runs on Salesforce’s CRM data; Now Assist runs on ServiceNow’s ticket data—this is an advantage that general-purpose AI cannot replicate.

Pricing model transition: shifting from "per-user pricing" to "outcome-based pricing." In ServiceNow's Q1 2026 net new business, half has been achieved through non-seat-based pricing models—this is the most significant structural data point in the sector. Goldman Sachs has named the new model "Results-as-a-Service."

Become part of AI governance: 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 to establish this critical infrastructure.

Four: Key publicly traded companies to watch

• Revenue of $41.5 billion for fiscal year 2026, representing a 10% year-over-year growth.
• Agentforce standalone ARR: $800 million, up 169% year-over-year; over 29,000 contracts signed cumulatively
• RPO (Remaining Performance Obligations) reached $72.4 billion, a 14% year-over-year increase, demonstrating that customers have not churned.
• Approve $50 billion in stock repurchases
• Key focus: Can Agentforce independently drive organic growth in fiscal year 2027, after removing Informatica's $1.1 billion contribution?

• Q1 2026 revenue of $3.77 billion, up 22% year-over-year (ninth consecutive quarter exceeding guidance)
• The target for Now Assist ACV has been increased from $1 billion to $1.5 billion, a 50% increase per quarter.
• Renewal rate: 97%, consistently stable for six consecutive quarters
• Half of the net new business was achieved through non-seat pricing.
• CEO McDermott said: "That would exceed $1.5 billion, and we’d need to raise another $500 million or more. It’s unbelievable."
• Key highlight: A benchmark-level validation of the pricing model transformation, making it the most valuable data point for comparison across the sector.

• Full-year 2025 revenue of $3.13 billion, a 19% year-over-year increase; stock price declined by 70% to 80% from its peak.
• Bullish: Mid-sized enterprise customers are less likely to build their own AI; HubSpot’s integrated ease of use remains a differentiating advantage.
• Short: Klarna has publicly announced replacing its Salesforce contract with AI; if this trend spreads to mid-sized enterprises, structural pressure will be unavoidable.

• Employee data, salaries, talent profiles—AI needs Workday data for any workforce planning.
• Key insight: Compliance and regulatory requirements make HR software one of the most difficult SaaS categories to replace.

Five: The 2026 Pricing Revolution: The End of the Seat Era

Currently, three models are competing simultaneously across the industry:

• Usage-based billing: Charged per query, task, or token—offers more flexible revenue but with higher volatility.
• Results-as-a-Service billing: Charged based on completed tickets, reviewed contracts, or generated leads—Goldman Sachs considers this the endgame形态
• Hybrid billing: A seat license grants platform access, with additional charges for AI work units—currently the most popular choice among enterprises.

The most important leading indicator: Who will be the first to report a quarter in which AI-generated revenue genuinely surpasses its displaced traditional revenue—this will be a historic data point defining the future valuation logic of the entire sector.

Six: Investment Risk Warning

Not all SaaS will survive: project management, documentation tools, and simple marketing automation—these are the repetitive, rule-based tasks AI agents will first conquer. ERP, HR, and compliance infrastructure—these have much stronger defenses due to migration costs and regulatory requirements. Gartner predicts: by 2030, 35% of standalone SaaS tools will be replaced by AI agents, while 65% will survive, but in transformed forms.

Valuation compression may not be over: The forward P/E ratio of the software sector has declined from 84 to 22.7, but if disruption outpaces adaptation, further downside remains. Distinguishing between "the sector is cheap" and "the sector should be cheap" is the most critical judgment today.

Self-built threat: AI programming tools have significantly increased the feasibility of large enterprises developing custom software in-house. Klarna’s case is not an isolated incident, but a trend signal worth ongoing monitoring.

Market participants with a conservative orientation can monitor shifts in industry fundamental resilience through the ServiceNow and IGV ETF sectors; those with a growth-oriented perspective should closely track whether Salesforce’s Agentforce business can achieve sustainable organic growth momentum. By 2026, SaaS will no longer be about selling seats, but about which platform businesses truly cannot do without—whether their workforce consists of humans or agents.

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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 Chase software sector analysis, Gartner IT spending forecast, Precedence Research, Cirra AI, Fortune, 24/7 Wall St., Redevolution, TechStartups.

Disclaimer: This reportis authored by Jun, a featured analyst for BIT’s U.S. stock business, and is for reference purposes only. The individual stocks and ETFs mentioned are provided solely as industry case studies and analyses of publicly available financial data, and do not constitute any investment advice, stock recommendations, or trading inducements. Historical performance and institutional forecasts are for reference only and do not imply future market performance or return expectations; past performance is not indicative of future results. Investing involves risks, including the possible loss of principal. Before making any investment decisions, clients should consult a qualified financial advisor.