BIT Research Report | AI Meets SaaS: Who Are the Tears of the Era, and Who Are Turning the Tide Against the Wind?

Key Data: Global SaaS Market (2025) approximately $408 billion | SaaS sector market cap evaporated about $2 trillion | IGV Software ETF down roughly 22% year-to-date | Salesforce FY2026 revenue $41.5 billion | ServiceNow Q1 2026 revenue $3.77 billion

1. SaaSpocalypse: Defining the Historic Event of 2026

Early 2026, Wall Street experienced 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, finance, marketing, sales, customer support
• February 3 to 5: Market crash. Within 48 hours, SaaS sector loses $285 billion in market value

Core Logic: Traditional SaaS charges per seat. If 10 AI agents can perform the work of 100 employees, a company only needs 10 Salesforce seats, not 100. Jason Lemkin’s widely circulated quote on Wall Street: “If 10 AI agents can do the work of 100 reps, you need 10 Salesforce seats, not 100.”

Loss Scale: Total market cap loss of $1 to $2 trillion (from peak). Thomson Reuters’ largest single-day drop, LegalZoom plunges nearly 20%. The forward P/E ratio of the software sector compresses from about 84x to 22.7x.

2. This is not the end of SaaS, but the beginning of transformation?

Three reasons for optimism:

Proprietary Data Moat: General AI agents cannot replace specialized agents trained on five years of a company’s own CRM data. Salesforce’s data is within Salesforce; ServiceNow’s ticket history is within ServiceNow—assets that general AI cannot access.

Market-Undervalued Migration Costs: Replacing a deeply embedded enterprise software suite involves multi-year cycles, millions of dollars, and retraining thousands of employees. SaaStr founder Jason Lemkin points out: Building a functional app with AI programming tools is roughly only 2% of the work needed to operate an enterprise software platform.

Compliance and Governance Needs: In regulated industries like banking, healthcare, government, enterprise software’s value isn’t just automation—it’s audit trails, compliance records, and access controls. General AI agents currently cannot replace this layer of functionality.

Key Data Refutation: At the moment of the sharpest sell-off, ServiceNow exceeded earnings guidance for the ninth consecutive time, with revenue growth accelerating to 22%. Salesforce posted $41.5 billion in annual revenue. HubSpot maintained 19% growth. These aren’t figures of an industry in collapse.

3. How SaaS companies can counterattack: Three strategic pillars

Building Proprietary AI Agents: Training exclusive agents on their own platform data, rather than waiting for third-party agents to replicate their functions. Agentforce runs on Salesforce CRM data; Now Assist on ServiceNow ticket data—advantages that general AI cannot copy.

Pricing Model Transformation: Moving from “per seat” to “per result” billing. In Q1 2026, half of ServiceNow’s new business was achieved through non-seat-based pricing—this is the most critical structural data point for the sector. Goldman Sachs calls this new model “Results-as-a-Service.”

Becoming the AI Governance Layer: Large enterprises need a trusted platform to centrally manage, audit, and secure all AI agents’ behaviors. ServiceNow’s “AI Control Tower” and Salesforce’s “Agentforce Trust Layer” are competing for this key infrastructure role.

4. Notable listed companies to watch

1. Salesforce (CRM)—“Agentforce Bet”

• FY2026 revenue $41.5 billion, up 10%
• Agentforce standalone ARR: $800 million, up 169%; over 29,000 contracts signed
• RPO (Remaining Performance Obligation): $72.4 billion, up 14%, indicating no customer loss
• Approved $50 billion share buyback
• Key point: Can Agentforce drive organic acceleration independently in FY2027—after divesting the $1.1 billion contribution from Informatica?

2. ServiceNow (NOW)—“AI Control Tower”

• Q1 2026 revenue $3.77 billion, up 22% (ninth consecutive beat)
• Now Assist ACV target raised from $1 billion to $1.5 billion, a 50% increase in a single quarter
• Renewal rate: 97%, stable for six consecutive quarters
• Half of net new business achieved via non-seat pricing
• CEO McDermott’s words: “That will exceed $1.5 billion, and needs to go up by another $500 million or more. It’s incredible.”
• Key point: A benchmark validation of the pricing model shift, the most valuable data source for sector comparison

3. HubSpot (HUBS)—“Midfield Contender”

• 2025 full-year revenue $3.13 billion, up 19%; stock halved 70-80% from peak
• Bulls: Mid-market clients less likely to build AI in-house; HubSpot’s integrated ease remains a differentiator
• Bears: Klarna has publicly announced replacing Salesforce contracts with AI; if this trend spreads to mid-market, structural pressures are unavoidable

4. Workday (WDAY)—“HR Data Moat”

• Employee data, payroll, talent records—AI needs Workday’s data for any HR planning
• Key point: Compliance and regulatory requirements make HR SaaS one of the most difficult categories to replace

5. 2026 Pricing Revolution: The End of the Seat Era

Three models are competing industry-wide:

• Consumption-based billing: Charging per query/task/token, more flexible but more volatile revenue
• Results-based billing (Results-as-a-Service): Charging per completed ticket, reviewed contract, or generated lead—Goldman Sachs considers this the ultimate form
• Hybrid billing: Retaining platform access via seat licenses, with additional charges for AI work units—currently the most adopted approach

Most important leading indicator: Who can report a quarter where AI result revenue truly surpasses the seat-based revenue it replaces—this will be a historic data point defining future valuation logic for the sector.

6. Investment risk warning

Not all SaaS will survive: Project management, document tools, simple marketing automation are the first to be overtaken by AI agents for repetitive, rule-based tasks. ERP, HR, compliance infrastructure—due to migration costs and regulatory hurdles—are more defensive. Gartner predicts: by 2030, 35% of single-point SaaS tools will be replaced by AI agents, 65% will survive but in altered forms.

Valuation compression may not be over: The software sector’s forward P/E ratio has compressed from 84x to 22.7x, but if disruption outpaces adaptation, further downside exists. Distinguishing “sector cheapening” from “sector should be cheap” is the most critical judgment now.

Build vs. buy threat: AI programming tools greatly enhance large enterprises’ ability to develop custom software internally. Klarna’s case is not isolated; it’s a trend worth ongoing monitoring.

Summary

Conservative investors can observe sector resilience through ServiceNow and IGV ETF tracks; growth-focused observers should track whether Salesforce’s Agentforce can sustain organic growth momentum. The SaaS landscape of 2026 is no longer about selling seats but about platforms that make enterprises truly indispensable—whether employees are human or intelligent agents.

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Data as of April 2026. Sources include: Salesforce Inc. (SEC Form 8-K, Feb 25, 2026), ServiceNow Inc. (SEC Form 8-K, Apr 22, 2026), HubSpot Inc. (SEC Form 8-K, Feb 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 authored by Jun, an invited analyst for BIT’s US stock business, for informational purposes only. The stocks and ETFs mentioned are used as industry case studies and publicly available financial data analysis, not investment advice, stock recommendations, or trading inducements. Historical data and institutional forecasts are for reference only and do not predict future market performance or returns. Past performance does not guarantee future results. Investing involves risks, including potential loss of principal. Clients should consult qualified financial advisors before making any investment decisions.