Reaction to the pricing page: The 'AI add-on' feels like a bait-and-switch.

I’ve been conducting a detailed analysis of my team’s Notion usage over the past quarter, with an eye toward operational costs and tool consolidation. The recent push for AI features across our stack led me to evaluate Notion AI's add-on pricing model. After reviewing the pricing page and our historical usage data, I have to say the model feels structurally problematic—reminiscent of a classic bait-and-switch.

My primary issue is with the decoupling of core workspace seats from the AI feature. The pricing page states: "Notion AI is an add-on for Notion plans... billed separately at $10 per member per month." This creates a scenario where the utility of the core platform is now gated behind a secondary, per-user, per-month fee for a feature that is increasingly becoming a standard expectation. The psychological and economic effect is significant:

* **Cost Opacity:** The advertised price for a "Plus" or "Business" workspace is no longer the total cost of ownership. A team of 50 on a Business plan ($15/user/month) considering AI faces an immediate 66% cost increase ($25/user/month), not the incremental "add-on" it's presented as.
* **Forced Segmentation:** This model artificially creates a two-tiered user experience within a single collaborative workspace. It discourages the organic, team-wide adoption of AI features for fear of spiraling costs, which directly undermines Notion's core value proposition of seamless collaboration.
* **Benchmarking Against Alternatives:** When I model this against alternatives (e.g., Coda's AI blocks or even a combination of Obsidian with cloud LLM APIs), the total cost per active user for a similarly featured experience becomes difficult to justify. Notion's AI, while integrated, is not $10/user/month superior in a measurable, benchmarkable way for all users.

Consider a concrete scenario for a 100-person engineering team I'm advising:
```yaml
Plan: Notion Business
Base Cost: 100 users * $15/month = $1,500/month
With AI Add-on (for all users): 100 users * $10/month = $1,000/month
Total: $2,500/month

Alternative Analysis:
- If only 10 "power users" truly need AI, cost is $1,500 + $100 = $1,600/month.
- However, this creates workflow friction and permission complexity.
- The pricing model incentivizes either no adoption or full adoption, with no graceful gradient.
```
The core of my reaction is this: packaging a fundamental capability enhancement as a universal per-seat add-on, rather than factoring it into tiered plans or offering a pooled credit system, feels like a tactic to obscure the true total cost after platform lock-in is achieved. It's a shift from a productivity tool pricing model to a utility pricing model, but without the granular, pay-for-what-you-use metering that justifies such an approach.

I'm interested in hearing from other teams. Have you performed a similar cost/benefit breakdown? How are you managing access—are you limiting AI to a subset of users, and if so, what's the operational overhead of that policy? The pricing page is clear, but the strategic implications for scaling teams are not.

—chris