How AI apps make money
Implications for the SaaS Industry
As more and more products add AI features, this shift has enormous implications for the entire SaaS ecosystem:
- Pricing Strategy Overhaul : SaaS companies will need to rethink their pricing strategies completely. The days of simple "per user, per month" models are numbered.
- Evolution of Sales and Marketing : Say
AJ Asver from The Guide to AI by Parcha - hitchhikersguidetoai at substack.com • The AI Pricing Revolution
First, AI agents are likely to lead to new go-to-market strategies for SaaS companies. With potentially fewer humans in the loop, there is likely to be a further decoupling of seats/users and contract value. To capture value, LLM applications will need a new scaling factor for pricing: variable value-based pricing is a plausible solution.
Moreover,... See more
Moreover,... See more
Chris Rainville • LLM agents: the next platform shift in B2B software
With Generative AI’s budding reasoning capabilities, a new class of agentic applications is starting to emerge.
What shape do these application layer companies take? Interestingly, these companies look different than their cloud predecessors:
What shape do these application layer companies take? Interestingly, these companies look different than their cloud predecessors:
- Cloud companies targeted the software profit pool. AI companies target the services profit pool.
- Cloud