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Salesforce Doesn’t Know How to Price AI
Salesforce is charging for Agentforce three different ways:
• $2 per conversation
• $0.10 per action
• $125+ per user per month
One product. Three models.
Why?
Because SaaS was built on seats.
But AI replaces seats.
If your AI works, customers need fewer humans.
If customers need fewer humans, they need fewer licenses.
If you charge per seat, your best product eats your own revenue.
That’s the revenue paradox every incumbent is staring at right now.
So companies are experimenting in public.
The PricingSaaS 500 tracked 1,800+ pricing changes last year across the top 500 B2B and AI companies. That’s 3.6 pricing shifts per company in a single year.
Nobody has conviction yet.
We’re watching three camps form:
Per-seat incumbents trying to protect predictable ARR.
Usage-based vendors aligning price to compute and API calls.
Outcome-based challengers trying to tie price directly to value created.
This is not a feature update cycle.
It’s a structural shift.
For twenty years, software was access.
Now AI is output.
And output doesn’t map cleanly to logins.
When software becomes labor, you price it like labor.
That’s the shift.
The companies that figure out how to align price with output, capacity, and business impact will win.
Everyone else is just adjusting knobs and hoping the spreadsheet holds.
Get my weekly breakdown of AI, GTM, and Cloud Employees:
https://atonom.ai/newsletter
Ready to hire your first Cloud Employee?
https://atonom.ai/
View all episodes
By Gabe LarsenSalesforce is charging for Agentforce three different ways:
• $2 per conversation
• $0.10 per action
• $125+ per user per month
One product. Three models.
Why?
Because SaaS was built on seats.
But AI replaces seats.
If your AI works, customers need fewer humans.
If customers need fewer humans, they need fewer licenses.
If you charge per seat, your best product eats your own revenue.
That’s the revenue paradox every incumbent is staring at right now.
So companies are experimenting in public.
The PricingSaaS 500 tracked 1,800+ pricing changes last year across the top 500 B2B and AI companies. That’s 3.6 pricing shifts per company in a single year.
Nobody has conviction yet.
We’re watching three camps form:
Per-seat incumbents trying to protect predictable ARR.
Usage-based vendors aligning price to compute and API calls.
Outcome-based challengers trying to tie price directly to value created.
This is not a feature update cycle.
It’s a structural shift.
For twenty years, software was access.
Now AI is output.
And output doesn’t map cleanly to logins.
When software becomes labor, you price it like labor.
That’s the shift.
The companies that figure out how to align price with output, capacity, and business impact will win.
Everyone else is just adjusting knobs and hoping the spreadsheet holds.
Get my weekly breakdown of AI, GTM, and Cloud Employees:
https://atonom.ai/newsletter
Ready to hire your first Cloud Employee?
https://atonom.ai/