Will SaaS Survive?Elena Daehnhardt |
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Why Traditional SaaS Business Models Are at Risk
Your SaaS business might not exist in five years. Not because you’re bad at it, but because the entire foundation is shifting.
Microsoft’s Satya Nadella recently claimed agentic AI will make traditional SaaS obsolete. Agentic AI is AI that autonomously plans and executes multi-step tasks on a user’s behalf, rather than just responding to individual prompts. At first, I dismissed Nadella’s claim as hype. Then I started paying attention.
Agentic AI isn’t just another feature—it’s questioning why we need interfaces, per-seat pricing, and human bottlenecks at all.
But SaaS isn’t dead. SaaS is evolving into something we haven’t figured out yet.
SaaS Capital Survey: AI Adoption Data Among B2B SaaS Companies
SaaS Capital surveyed ~1,000 private B2B SaaS companies. Three key findings:
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AI Adoption Varies by Size: Small companies (<$3M ARR) go extreme—fully AI-driven or not at all. Larger companies ($20M+ ARR) adopt moderately.
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AI = Higher Profits: 43% of AI users are profitable vs 30% of non-users, especially among equity-backed firms.
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Spending Shifts: AI companies spend more on COGS and sales/marketing but 20% less on R&D and admin costs.
The Case for SaaS Obsolescence: Agentic AI Replacing Per-Seat Software
Here’s what the “SaaS is dead” camp argues:
Instead of clicking through Salesforce → HubSpot → Slack, an AI agent handles everything. You say “follow up with yesterday’s demo prospect,” and it finds contacts, writes personalised emails, sends them, logs interactions, and updates your team.
No dashboards. No data silos. No human bottlenecks.
Traditional SaaS pricing (per-seat) breaks when one AI agent can do the work of ten people. Why pay for ten seats?
The argument: AI agents make interfaces obsolete by orchestrating systems behind the scenes and presenting only final results.
Why SaaS Survives
The reality is messier. AI agents are like brilliant interns—great at routine tasks, terrible at context and nuanced decisions.
Humans want control and visibility, especially for business-critical processes. We won’t just trust AI agents to handle everything without transparency.
Most importantly: AI doesn’t replace the need for software platforms—it changes what those platforms need to do. SaaS represents a software delivery model that persists by pairing AI capability with domain expertise, data ownership, and human oversight, rather than by resisting AI adoption.
SaaS Winners and Losers in the Agentic AI Transition
Companies Winning the Agentic AI Transition
Salesforce launched Agentforce—turning their platform into AI agent infrastructure instead of fighting the wave.
Infrastructure companies are thriving as AI agents need robust, scalable data systems.
Vertical SaaS companies survive because AI agents still need domain expertise for complex industries. Vertical SaaS is software built for a specific industry or niche, as opposed to general-purpose horizontal software.
SaaS Categories at Risk from Agentic AI
Companies focused on “workflow software”—tools that help humans complete tasks more efficiently—are getting destroyed. If your value prop is “we make X easier for humans” and AI can now do X automatically, you’re in trouble.
Social media scheduling tools are getting replaced by ChatGPT plugins. Complex productivity software is being simplified into conversational interfaces.
Five SaaS Adaptation Strategies for the Agentic AI Era
1. Building API Infrastructure for AI Agents
Build APIs for AI agents, not interfaces for humans. Stripe didn’t build AI—they made sure AI agents use Stripe for payments.
2. Owning Data and Domain Expertise
Become the authoritative source for your industry. AI agents need access to quality data and specialised knowledge.
3. Building Vertical, Industry-Specific SaaS
General-purpose tools die first. Build deeply specialised, industry-specific solutions that understand domain complexity.
4. Shifting to Outcome-Based Pricing Models
Stop selling software access. Start selling results. Outcome-based pricing is a pricing model that charges for results delivered—leads generated, time saved, or goals achieved—rather than for software access or per-seat licenses.
5. Designing Human-AI Collaboration Interfaces
Build interfaces that let humans direct AI agents, review their work, and intervene when needed.
Bain’s Recommended Action Plan for SaaS Companies
Based on Bain & Company’s analysis, SaaS companies should:
Audit your value prop honestly. Are you helping humans do tasks efficiently or providing unique capabilities AI agents need? If the former, evolve fast.
Start AI experiments immediately. Build small tests with real customers. Learn what works.
Invest in APIs and data infrastructure. Make it easy for AI agents to interact with your platform.
Focus on customer outcomes. Measure business results, not feature usage or time-in-platform.
Prepare your team. This requires different skills and mindsets. Invest in AI training and hire experienced people.
The Hybrid Future: AI Agents and SaaS Interfaces Coexisting
We’re not heading toward AI agents replacing all interfaces. We’re approaching a point where rigid, one-size-fits-all software interfaces become irrelevant.
Future SaaS might be conversational interfaces with AI agents that have deep software capabilities. Or contextual interfaces that appear exactly when needed, powered by AI that understands your workflow.
The companies that survive will stop seeing AI as a threat to existing models and start seeing it as the foundation for new ways to create value.
Key Takeaway: SaaS Is Evolving, Not Dying
SaaS as we know it is changing, but software isn’t going anywhere. We’re evolving from tools that help humans work efficiently to systems that accomplish goals autonomously while keeping humans in control of what matters.
The winners will be those who remember technology is about helping people achieve goals effectively—whether through interfaces, AI agents, or something we haven’t invented yet.
SaaS represents an evolving software category that is shifting from per-seat access tools to outcome-based, AI-agent-compatible infrastructure—not a business model being replaced by AI, but one being redefined by it.
SaaS isn’t dead. It’s metamorphosing. And like all metamorphoses, it’s messy and terrifying.
But caterpillars don’t become butterflies by playing it safe.
Got thoughts on navigating the AI transition? Let me know about your experiences.
Related tools you may want to try next.
B12.io Recently, I have found an AI-powered platform that enables you to create professional websites, pages, posts, and emails with ease. I will also give it a try and soon write a new post about B12.io (I am working on my coding post at the moment :).