A Wealthion interview on the software selloff argues that the biggest damage has been in SaaS stocks, where AI-agent fears are challenging the seat-based revenue model. Chris Casey says the selloff may be a tradeable dislocation, but not necessarily a durable long-term buy across the whole sector.
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Maggie Lake interviews Chris Casey of Windrock Wealth Management about the sharp repricing in software stocks, especially SaaS names. Casey says the weakness is concentrated in SaaS rather than software broadly, and estimates that about a third of the software market has been hit, with individual names down roughly 30% to 60% since early February. He attributes the selloff to fears that agentic AI could reduce the need for human users, undermining the seat-based pricing model that many SaaS businesses rely on. Casey argues that the market is sorting winners from losers and that the opportunity is in finding companies whose models are less exposed. …
Tactically, SaaS looks like a crowded, headline-driven selloff where oversold names can bounce hard, but rebounds may be sell-the-rip opportunities if AI fears keep dominating.
Over the next several weeks or months, expect dispersion: software with deep workflow integration and proprietary data should stabilize better than lighter, seat-based tools. Confirmation will come from earnings, guidance, and whether AI is hurting actual usage or just compressing multiples.
The structural message is that software moats are being redefined by AI. Businesses that depend on human seats may face a lasting reset, while embedded vertical software with critical workflow ownership can remain durable.
SaaS has been hit far harder than software broadly, with a 30% to 60% decline since early February.
Casey distinguishes SaaS from the wider software market and quantifies the drawdown.
The core threat to SaaS is not software failure itself but a weakening of the seat-based revenue model if AI agents reduce the number of human users needed.
He repeatedly says the fear is fewer paying seats rather than software disappearing overnight.
Vertical, proprietary, industry-specific software should be more resilient than light software that merely pulls information together.
He says deeply embedded workflow systems and proprietary data are the survivors, while lighter tools are vulnerable.
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