Salesforce now sells Agentforce Coworker, its AI teammate for employees, for $50 per user per month, a new option it announced on 4 November. Its pricing page lists the Agentforce Coworker User License at $50 a user a month, with “All Coworker searches included”.
By our arithmetic from the same page, $50 buys 10,000 Flex Credits, the metered unit Salesforce sells at $500 per 100,000 credits. At 20 credits per Agentforce action, that is the list price of 500 actions, or about 25 a working day over 20 days.
Business Pill · Usage-Based Pricing
An evergreen Business Engineer explainer on usage-based pricing. It teaches the general idea only and does not discuss Salesforce or Agentforce.
The key insight: As we read it, Salesforce now sells Coworker two ways: a flat $50 seat, or metered Flex Credits at $500 per 100,000, where $50 covers 500 Agentforce actions at list price, by our arithmetic.
In its release, Salesforce said “At $50 per user per month, pricing is simple and predictable, which makes it easier for enterprises to expand adoption with confidence”. It describes the price as “A new $50 per-user, per-month option” and says Coworker usage grew 21x in three months, with more than 185,000 users.
The release lists “the per-user, per-month SKU” as available now. Coworker in Microsoft Teams, apps for iOS, Mac and Windows, a Coworker MCP server and a free trial for Flex Credits customers are due to be generally available in November 2026, it says. The release adds that “Pricing and packaging are subject to change”.
Salesforce names three customers. It says Fulton Bank deployed more than 20 Coworker use cases supporting approximately 3,000 users, The Adecco Group is expanding Coworker across 40 countries, and BACA Systems enabled it in an environment with 1,300 custom objects.
Agentforce per-user list prices, USD per user per month, from Salesforce’s pricing page read on 4 November 2026; list prices are subject to change. The 500-action equivalent of the $50 Coworker seat is our arithmetic.
Seats Versus Metered Actions
Salesforce’s pricing page offers “consumption-based pricing, with Flex Credits or Conversations, or per-user licensing”. Flex Credits cost $500 per 100,000 credits, and the page says “Agentforce actions are 20 Flex Credits, while Agentforce Voice actions are 30 Flex Credits”. Conversations cost $2 each.
The per-user licences span a wide range. The Agentforce User License costs $5 a user a month and requires Flex Credits, with metered usage. The Agentforce add-ons cost $125 and the Industries add-ons $150 a user a month, both with “Unmetered Agentforce usage for employees”. Max Edition starts at $550 a user a month and includes 2.75 million Flex Credits per org per year.
The new Coworker licence sits at $50, 10 times the $5 user licence and 40% of the $125 add-on, by our arithmetic. Salesforce’s own worked example on the page shows how metered costs add up: “40 Flex Credits X 20 requests per day X 30 days in a month = $120 per month”.
Our 500-action figure is a list-price yardstick only. The Coworker licence lists searches and “30 MBs of indexing per user per month”, and the release tells customers to contact an account executive “To give every user a Coworker with per-user pricing”.
How It Compares With Tonight’s AI Cost Stories
At $50 a month, a Coworker seat costs $600 a year per user, by our arithmetic. Bloomberg reported on 4 November that Apple lowered the daily AI spending cap for some engineers to $200 from $300, as we covered in Apple Cuts Some Engineers’ Daily AI Budget a Third, to $200.
A month of the Coworker seat is a quarter of one day of that cap, by our arithmetic. The scopes differ: Apple’s cap is a daily allowance for an engineer’s spending on AI models, while Salesforce’s price is one product seat for a month. Bloomberg also reported that Uber capped individual AI coding tools at $1,500 per month, 30 times the Coworker price by our arithmetic.
As we read the price list, the $50 seat sits between the $5 user licence, which meters usage through Flex Credits, and the $125 and $150 add-ons, which the page describes as unmetered for employees.
As we read tonight’s cost stories together, buyers and vendors are setting AI spend in different units: Apple caps some engineers’ daily model spending, Figma covered its agent’s inference cost, and Salesforce now quotes a monthly seat. The scopes differ, so the figures are not one market price.
Salesforce, release of 4 November 2026
“At $50 per user per month, pricing is simple and predictable, which makes it easier for enterprises to expand adoption with confidence.”
Three Implications
FOR BUYERS Coworker can now be budgeted at $50 a user a month, $600 a year by our arithmetic, beside metered Flex Credits at $500 per 100,000.
FOR USAGE At list price, the seat costs the same as 500 Agentforce actions, about 25 a working day over 20 days, by our arithmetic.
FOR SALESFORCE The release reports more than 185,000 Coworker users and 21x usage growth in three months, without a split by pricingmodel.
The framework puts the shift in one sentence: “SaaS is charged for access to tools. AGaaS charges for the execution of outcomes.”
As we read it, Salesforce’s price list now holds both: a $50 seat for access to Coworker, and Flex Credits metered per action. The framework does not discuss Coworker or this price.
The release does not split the more than 185,000 Coworker users by pricingmodel, and it gives no revenue figure for Coworker. All prices above are list prices from Salesforce’s page, which says it is provided for information purposes only and is subject to change; contracted prices may differ. The 500-action comparison assumes standard Agentforce actions at list price.
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Salesforce has added a flat $50 per-user, per-month price for Agentforce Coworker beside its metered Flex Credits. By our arithmetic, that monthly seat costs the same as 500 Agentforce actions at list price, sits at 10 times the $5 Agentforce User License, and comes to $600 a year per user.
A note on sourcing. Prices and terms are from Salesforce’s 4 November 2026 release and its Agentforce pricing page as read on 4 November; they are list prices that Salesforce says are subject to change. Apple and Uber figures are Bloomberg’s reporting, as covered in our earlier piece. Conversions between seats, credits and actions are our arithmetic.
Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur (for example, How to Digitize a Family Business in Europe) and HackerNoon. Find him on LinkedIn and Substack. See how we source.
