The traditional seat‑based SaaS model that delivered predictable ARR and high valuations is stalling as growth slows and investors demand profitability. AI is rapidly extending task time horizons and shifting value from humans-in-the-loop to autonomous agents, forcing a rethink of seat pricing and tool stacks. #Wiz #ClaudeOpus
Keypoints
- AGC data shows top public SaaS companies project only 11% revenue growth for 2026, undermining the seat-expansion playbook.
- AI time horizons are expanding exponentially, enabling agents to autonomously complete multi-hour knowledge tasks and reducing reliance on human coordination.
- Cybersecurity bucks the broader slowdown with $25.1B in funding and $76.4B in M&A in 2025, driving consolidation and platform deals.
- Seat-based pricing and headcount-driven revenue are threatened as AI compresses work, pushing vendors toward bundling and profitable-growth models.
- Security leaders must answer three urgent questions: the impact of bundling, whether AI security is a standalone category, and what happens to sprawling 40–70 tool stacks as agents automate analyst work.
Read More: https://cyberbuilders.substack.com/p/the-software-model-that-ran-cybersecurity