Einstein vs Agentforce: What Changed

Written by Mark Edcel Briones Lopez · Reviewed by Dedric Brown, Salesforce Product Manager and founder of Blazer2Role · Published October 13, 2026 · Facts verified October 13, 2026

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Open a Salesforce job post from 2023 and it asks for Einstein. Open one from this year and it asks for Agentforce. Study guides, old Trailhead screenshots, and half of YouTube still use both names as if they were the same thing. They are not, and the mix-up costs career changers real study hours. This guide sorts out which names changed, which ones stayed, and what you should learn and say in an interview now. If the newer name on your radar is AIforce, we covered that layer separately in AIforce vs Agentforce.

In this guide

1. What Einstein is, and still is
2. What Agentforce is
3. What changed, name by name
4. What did not change
5. What this means for your study plan and interviews
6. Questions people ask

What Einstein is, and still is

Salesforce introduced Einstein in 2016 as AI built directly into the CRM. People talk about it as one tool you open, but it never was. Salesforce's own post, Debunking Myths: Salesforce Einstein and Agentforce, first published in July 2025 and updated this month, calls Einstein "the umbrella brand for all AI and machine learning capabilities built into the Salesforce Platform." In plain words, Einstein is a label on many features, not a product with a login.

• What it does: It predicts and recommends. Einstein scores leads and opportunities, classifies and routes cases, and suggests knowledge articles and next best actions.
• Who acts on it: A person. Einstein hands a rep a score or a suggestion, and the rep decides what to do with it.
• Scale: More than a trillion predictions every week, per Salesforce.
• Setup: It is not switched on by default. Most Einstein features "require setup, data preparation, and customization," per the same Salesforce post. An admin turns each one on and chooses the data it learns from.
• How it is sold: Inside editions or as per user add ons. One example is Einstein Bots at $75 per user per month on the core Service Cloud edition, per Salesforce's pricing page as read by Macha in September 2026.

The generative side came later. Einstein GPT arrived in 2023, and Einstein Copilot, a chat assistant that sat in a side panel and helped one user at a time, became generally available in April 2024. Remember that last name. It is the only one in this story that was truly renamed.

What Agentforce is

Agentforce went live in October 2024. It is Salesforce's product for building and running AI agents. An agent reads a request in plain language, decides what to do, and then does it using Salesforce data and automation. The same Salesforce post is direct about how the two relate. It lists "Agentforce is a rebranding of Einstein Platform" as a myth and answers that Agentforce is "a standalone product that builds on top of the Einstein Platform."

• What it does: It acts. An agent answers a customer, updates a case, drafts a follow up, or hands the conversation to a human when it should.
• How it is built: With topics, instructions, and actions. The actions are usually Flows, Apex, and prompt templates that an admin or developer sets up.
• Where it runs: Service chat, messaging, voice, Slack, and inside Salesforce for employees.
• How it is billed: By usage. Flex Credits cost $500 per 100,000, and a standard action uses 20 credits, which works out to 10 cents per action, per Salesforce's rate card as reported by Macha in September 2026.
• Its credential: The Agentforce Specialist exam, which costs $200, has 60 questions, and needs 73 percent to pass. Our Agentforce Specialist certification guide covers the exam in detail.

A simple way to hold the two apart: Einstein tells a person something useful. Agentforce does something on that person's behalf. Both read the same CRM data, and both depend on an admin who set them up well.

What changed, name by name

Most of the confusion comes from four years of launches and renames stacked on top of each other. Here is the order they happened in, with the source for each.

• 2016: Einstein launches as predictive AI inside the CRM.
• 2023: Einstein GPT adds generative AI, and the Einstein 1 Platform is announced at Dreamforce, per DataGroomr's Salesforce AI terminology guide.
• April 2024: Einstein Copilot becomes generally available, per CX Today.
• October 2024: Agentforce goes live as a new product for autonomous agents, per CX Today.
• January 2025: Einstein Copilot is renamed. Setup now shows "Agentforce (Default)" where Einstein Copilot used to be, and Salesforce told customers, "This change won't impact your implementations," per CX Today's coverage of the rename. Salesforce's Winter '25 release notes describe it as a rename "with no changes in functionality."
• 2025: The Einstein 1 Platform becomes the Agentforce 360 Platform, after a short spell as simply the Salesforce Platform, per DataGroomr.
• Certifications: The AI Specialist credential is now Agentforce Specialist, and the AI Associate certification was retired on February 2, 2026, per S2 Labs.
• December 31, 2025: Article Answers, a feature inside Einstein Bots, reaches its final cutoff, per Salesforce's retirement notice. Salesforce points teams to Generative Knowledge Answers instead.

One caution about dates. Third party glossaries do not all agree. DataGroomr places the Copilot change in October 2024, when Agentforce launched, while Salesforce's own release note says the new name was available from January 2025. We used Salesforce's date. If an exact date matters to you, check the release notes yourself.

Behind the names, three real things changed.

• From assisting to acting: Copilot helped one user finish a task faster. An agent can finish part of the task without that user.
• From seats to usage: Einstein features are mostly priced per user. Agentforce is mostly priced per action.
• From switching on to designing: Admin work moved from enabling a feature to deciding what an agent may do, what data it can see, and how it is tested.

What did not change

Agentforce did not replace Einstein, and a lot of what you may already have studied still holds.

• The Einstein name on predictive features: Einstein Case Classification, Einstein Article Recommendations, Einstein Next Best Action, and Einstein Bots still appear by those names on Salesforce's Service Cloud pricing page, as read by Macha in September 2026.
• The Einstein Trust Layer: The security layer that keeps AI answers grounded in your data still carries the Einstein name. Salesforce's Trailhead module is still titled "The Einstein Trust Layer."
• Einstein Bots: Still sold. We could not find a published end date for the bots themselves, only for the Article Answers feature. That could change, and we will not pretend to know when.
• The fundamentals: Objects, fields, permission sets, Flow, and clean data. An agent's action is usually a Flow that somebody built.
• The admin's role: Someone still has to turn things on, test them, and answer for the result. We looked at the hiring data in is AI replacing Salesforce admins.

What this means for your study plan and interviews

Here is the part most comparison articles skip, because they are written for buyers and not for job seekers. You do not need deep Einstein expertise to land a first Salesforce role, and knowing this history will not get you hired by itself. What you do need is to stop sounding confused when the two names come up.

• On job posts: A post that asks for Einstein experience may mean predictive features, or it may be an older template that means the assistant now called Agentforce. Read the duties, not the label.
• On your resume: Use the current name, and add the old one once in parentheses if you worked with it, for example "Agentforce (formerly Einstein Copilot)." Recruiters search for both.
• In interviews: Have one sentence ready: Einstein predicts and recommends, Agentforce acts, and Agentforce runs on the Einstein platform and its Trust Layer. More practice answers are in our Salesforce admin interview questions.
• On study order: Admin fundamentals come first, then agents. We compared the options in which Salesforce skill to learn first.

A short plan you can start this week:

1. Learn the admin core first: objects, permission sets, Flow, and reports.
2. In a Developer Edition org, turn on one Einstein feature and write down what data it needed before it worked.
3. Build one small agent with two topics and one Flow action, then test it with a request it should refuse.
4. Write three lines in your own words that explain Einstein vs Agentforce, and practice saying them out loud.
5. Before you pay for any exam, read the current exam guide. Names and outlines change with each Salesforce release.

Blazer2Role sells the coaching and courses described here. We do not guarantee job placement. No credential or product name on a resume does that either, which is why we push members to build something they can show. If you want to know what a tier covers before you buy, write to support@blazer2role.com.

Questions people ask

What is the difference between Salesforce Einstein and Agentforce?
Einstein is the brand for the AI built into Salesforce products, mostly features that predict and recommend, such as lead scoring and case classification. Agentforce is a separate product for building agents that take action, such as answering a customer or updating a record. Salesforce describes Agentforce as a standalone product built on top of the Einstein Platform.

Is Agentforce the same as Einstein?
No. Salesforce lists that idea as a myth in its own post on the topic. Agentforce is a standalone product that builds on the Einstein Platform, and it is not a new name for it. One Einstein product did get renamed, though. Einstein Copilot, the chat assistant, has shown up in Setup as Agentforce since January 2025.

What is Salesforce Einstein called now?
It is still called Einstein. The name remains on predictive features such as Einstein Case Classification, Einstein Next Best Action, and Einstein Bots, and on the Einstein Trust Layer. What changed is narrower. Einstein Copilot is now Agentforce, and the Einstein 1 Platform is now the Agentforce 360 Platform. Expect to see both brands side by side for a while.

Is Einstein Copilot the same as Agentforce?
Yes, in the sense that the assistant once called Einstein Copilot is now labeled Agentforce in Setup. Salesforce's release notes describe a rename with no changes in functionality, available from January 2025. Agentforce as a whole is much bigger than the old Copilot, though, because it also covers customer facing agents that act without a user typing each request.

Are Einstein Bots being retired?
Not the bots themselves, as far as we could confirm. Salesforce retired one feature, Article Answers for Einstein Bots, with a final cutoff of December 31, 2025, and points teams to Generative Knowledge Answers. We found no published end date for Einstein Bots. Salesforce's attention has clearly moved to Agentforce, so check the current release notes before you invest study time in bot building.

Should I learn Einstein or Agentforce first?
Learn admin fundamentals first, then Agentforce. Job posts and the current AI exam center on Agentforce, and it is where Salesforce is putting new features. You only need enough Einstein knowledge to explain what predictive features do and to recognize the Trust Layer. Still choosing an exam? Start with which Salesforce certification to take first.