Is the SaaS Pricing Model Dead: The Economics of AI
2026-09-23 · 18:00:00 · New York
The Yard: Herald Square Coworking Office Space Manhattan, 106 W 32nd St, New York, NY 10001, USA
The Yard: Herald Square Coworking Office Space Manhattan, New York
This evening meetup in Manhattan explores the economics of artificial intelligence and whether traditional SaaS pricing models remain viable.
Get up-to-date information at: https://luma.com/2986u8e2
Address: The Yard: Herald Square Coworking Office Space Manhattan New York, NY United States
Hosted by York Effect & Charleh Knighton
Founder brief
Who should attend
Founders operating across AI, machine learning, and SaaS who are navigating changing unit economics will benefit from attending. It suits software operators reconsidering subscription pricing in light of infrastructure expenses, as well as those active during Climate Week in New York looking to connect around shifting business models.
What happens
Hosted at The Yard Herald Square coworking space, this meetup brings people together starting at 18:00 to discuss how artificial intelligence alters software economics. While there are no formal pitch sessions, attendees participate in discussions focused on pricing structures, monetization shifts, and emerging industry developments across two days.
Who's in the room
Expect founders, technologists, and operators focused on SaaS and artificial intelligence. The gathering is organized by York Effect alongside co-host Charleh Knighton, bringing together members of the local New York tech community participating in this Climate Week edition meetup.
How to prepare
Reflect on how your company handles inference, compute, and serving costs, and be ready to discuss your current pricing framework. Bring clear questions about transitioning from standard per-seat licenses to usage-based models, and prepare a concise overview of your product for conversational networking with peers.
Organizer: York Effect
At a glance
- Tickets
- Free
- Theme
- Climate Week Edition
- Sectors
- Ai ml, Saas
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