Analysis
Custom GPTs move to plugins before 11 December, and custom actions need rebuilding
1AYM is an OpenAI Select Partner.
Published . Vendor facts checked on against each vendor’s own pages, listed at the end. Plans, prices and availability change. Neither OpenAI nor Anthropic has reviewed this analysis.
The short version
OpenAI retires custom GPTs on 11 December 2026, and affected ChatGPT Enterprise workspaces stopped creating new ones on 26 October. A GPT's instructions, knowledge files and connected apps move to a plugin when it is migrated. Its custom actions have to be rebuilt, and the new plugin starts private.
- The dates and what stops
- New custom GPT creation ended on 26 October 2026 for affected Enterprise workspaces, except FedRAMP. Custom GPTs retire on 11 December 2026, or 11 February 2027 for FedRAMP and approved deferrals.
- What migrates and what doesn't
- Instructions, knowledge files and connected apps move across. Custom actions don't, and may need a custom MCP server. Migrated plugins start private, and plugin work in Work consumes credits.
The dates: creation stopped on 26 October, and custom GPTs retire on 11 December
What was announced
On 26 October 2026, OpenAI turned off new custom GPT creation for affected ChatGPT Enterprise workspaces. FedRAMP workspaces are the exception. Existing GPTs that haven't been migrated stay usable and editable until their retirement date. For new reusable workflows, OpenAI points people to Plugin Creator.
OpenAI's FAQ says custom GPTs are scheduled to retire on 11 December 2026. On that date, custom GPTs and their GPT pages become inaccessible. FedRAMP workspaces, and affected Enterprise workspaces with a qualifying, approved deferral, retire on 11 February 2027 instead.
OpenAI says the later date doesn't apply to every workspace. A deferral also doesn't keep the ability to create new GPTs. Existing conversations with custom GPTs stay accessible after retirement, with no action needed to keep them.
The change affects all ChatGPT plans. OpenAI plans to help creators move their GPTs to plugins, which bring reusable instructions, reference files and connected apps together. Migration and plugin access may differ by account or workspace.
For Enterprise, the FAQ lists the steps so far. Admins got a notice on 11 September 2026. OpenAI's target for the migration tool and a user banner was 22 September, or 1 October for workspaces that chose delayed banners. OpenAI calls both dates targets.
Standard admin emails carry the standard dates and aren't tailored to workspaces with an approved delay. For anyone who uses several accounts or workspaces, the timeline and permissions of the one where the GPT was created apply.
What it means for enterprises
By our arithmetic, 26 October to 11 December is 46 days, about six and a half weeks. Every custom GPT a team relies on has to be migrated, tested and shared again in that time, unless the workspace has an approved deferral.
Teams that want a new reusable workflow now build it as a plugin. An existing GPT can still be edited until it is migrated, so fixes can go in first and travel with it.
An admin email with the standard dates doesn't tell you whether your workspace has a deferral. OpenAI points admins to the workspace notice or the account team for that.
Staff keep their old conversations. The GPT pages go, so links to them from intranet pages and how-to guides will likely stop working after 11 December.
Before you switch it on
- Your date
- Check the workspace notice, or ask your OpenAI account team, whether your workspace has an approved deferral. Standard admin emails show the standard dates only.
- Inventory
- List every custom GPT in the workspace, with its creator and the people who use it. Pulling the full workspace list currently needs a workspace Owner.
- Publish first
- Publish the latest version of each GPT you plan to keep. Migration copies the latest published version and leaves drafts and unpublished edits behind.
- Links and guides
- Find the intranet pages and guides that link to a GPT, and plan to point them at the plugin. GPT pages become inaccessible on 11 December.
What migrates, what has to be rebuilt, and the permissions and cost to plan for
What was announced
A GPT's creator migrates it from My GPTs with "Migrate to plugin", and in an Enterprise workspace a workspace admin can migrate it too. Plugins have to be enabled and the GPT has to be published, which doesn't mean sharing it publicly.
The GPT's instructions become a skill inside the new plugin. Its connected apps are added to the plugin as apps, and its knowledge files are copied into the plugin's reference files.
The GPT's selected model doesn't carry over, and in Enterprise workspaces the Enterprise defaults apply. After migration, the original GPT stays usable until retirement. It is read-only, and its creator can't delete it.
Custom actions, which let a GPT call another system, don't transfer. OpenAI says features that depend on them won't work in the plugin until a replacement is set up. Rebuilding the connection may need a custom MCP server, a service that connects the plugin to the other system, plus technical setup.
OpenAI says a rebuilt integration shouldn't be assumed to do everything the original action did, and advises extra time for GPTs that use custom actions. Access to custom integrations depends on the account or workspace.
In Enterprise, a plugin migrated on its own starts private, and the GPT's users don't get access automatically. Share Plugin can fill in the original GPT's users, groups or workspace audience, for someone to review and save.
Sharing with people or groups needs the "Share plugins" permission. Publishing to the workspace directory needs "Publish plugins to workspace", a separate permission. To use a migrated plugin, a person needs "Use plugins" and a workspace policy that lets them install it or installs it for them.
Staff call a plugin or skill with an @ mention, or through + then More. ChatGPT may also use an installed skill on its own, but OpenAI says the plugin won't necessarily run on every request.
Bulk migration runs through the ChatGPT Admin plugin, in the background, and starting it doesn't confirm that every GPT migrated. Public GPTs made in affected Enterprise workspaces are included even when people reach them from a personal account. Their public sharing settings don't carry over.
On cost, OpenAI says creating and editing plugins through a conversation uses Work or Codex, and actions in Work consume credits.
What it means for enterprises
For a GPT built from instructions and files, the move is mostly a click and a review. GPTs with custom actions take engineering time, because their features stop working in the plugin until someone rebuilds the connection.
A GPT that reads from or writes to an internal system through a custom action is likely a small build of its own. Plan it with its own permissions, testing and security review, and allow the extra time OpenAI advises.
Because the plugin starts private, staff who used the GPT won't see it until someone shares it. If nobody does before 11 December, they lose the tool when the GPT retires.
A GPT set to one model now runs on the Enterprise default, and OpenAI says the plugin may respond differently. Each plugin that a team depends on is worth testing before the old GPT goes.
Before you switch it on
- Custom actions
- Mark every GPT that uses a custom action, and the system it calls. Plan each rebuild, possibly as a custom MCP server, and test that the new connection does what the old action did.
- Owners
- Give each GPT an owner who will migrate it, test it and share the plugin. Only the GPT's creator or a workspace admin can migrate it.
- Permissions
- Decide who holds Share plugins, Publish plugins to workspace and Use plugins, and set the install policy, before you migrate in bulk.
- Testing
- Run familiar prompts and at least one harder case through each plugin, as OpenAI suggests. Check it picks the right skill, uses the expected reference files and returns complete answers or files in the format you need.
- Bulk results
- After a bulk migration, confirm each GPT actually moved. Starting the job doesn't confirm it.
- Credits
- Watch credit use in Work while teams build and edit plugins, since OpenAI publishes no figure for it.
Sources: [2]
Where the market is heading: skills and plugins in place of single GPTs
OpenAI is folding custom GPTs into plugins, which hold reusable instructions, reference files and connected apps in one package. Inside a plugin, a GPT's instructions become a skill, and OpenAI points new reusable workflows to Plugin Creator.
Staff can call a plugin with an @ mention, and ChatGPT may also pick an installed skill by itself. OpenAI says a plugin won't necessarily run on every request. A team likely needs to test whether the right skill runs, as well as what it answers.
Plugins also come with their own permissions for sharing, publishing, using and uploading. On our reading, whoever holds those permissions, together with the workspace install policy, decides who reaches each migrated tool.
| Dimension | Where it stands | Said by |
|---|---|---|
| New GPT creation | Ended 26 October 2026 for affected Enterprise workspaces; FedRAMP excepted | Release notes and FAQ |
| Standard retirement | 11 December 2026; custom GPTs and their pages become inaccessible | FAQ |
| Later retirement | 11 February 2027 for FedRAMP and approved deferrals | FAQ |
| Plans affected | All ChatGPT plans | FAQ |
| What migrates | Instructions (as a skill), connected apps (as apps), knowledge files (as reference files) | FAQ |
| What doesn't | Custom actions, drafts and unpublished edits, the selected model, public sharing settings | FAQ |
| Who can migrate | The GPT's creator or a workspace admin, once plugins are enabled; the GPT must be published | FAQ |
| Bulk migration | ChatGPT Admin plugin; the full inventory needs a workspace Owner | FAQ |
| Sharing after migration | Private at first; Share Plugin can fill in the old audience | FAQ |
| Cost | Creating and editing plugins uses Work or Codex; actions in Work consume credits | FAQ |
| Old conversations | Stay accessible after retirement | FAQ |
What is not known yet
We read both sources on 27 October 2026, the day after the creation cutoff. Neither answers the points below.
- Affected workspaces
- OpenAI doesn't say what makes an Enterprise workspace affected, beyond the FedRAMP exception.
- Deferrals
- The FAQ doesn't say who qualifies for the February 2027 date or how to apply. It points admins to the workspace notice and the account team.
- Credit use
- OpenAI says actions in Work consume credits, but not how many credits creating or editing a plugin uses.
- Rebuilt actions
- OpenAI says not to assume a rebuilt integration does everything the original custom action did. It doesn't say which capabilities might not carry over.
For engineers: the migration mapping, custom actions, permissions and testing
What maps to what
Migration reads the GPT's latest published version. Instructions become a skill in the plugin, connected apps become plugin apps, and knowledge files are copied into the plugin's reference files. Drafts, unpublished edits, the selected model and public sharing settings don't carry over.
After migration the original GPT is read-only, and its creator can't delete it. Make any last changes and publish them before you migrate.
Sources: [2]
Custom actions
GPT custom actions don't go through the migration workflow. Anything that depends on one fails in the plugin until a replacement is in place, which may mean a custom MCP server. Whether you can add custom integrations depends on the account or workspace.
Built-in migration needs neither "Upload plugins" nor "Upload plugins with custom MCP servers". Rebuilding an integration is a separate job and may need extra permissions.
For each action, list the operations it calls, then confirm the rebuilt connection covers each one. OpenAI says not to assume it will.
Sources: [2]
Permissions and bulk runs
Three permissions and one policy decide who reaches a migrated plugin. "Share plugins" covers people and groups, and "Publish plugins to workspace" covers the directory. Staff need "Use plugins", plus a workspace policy that lets them install the plugin or installs it for them.
Bulk migration runs asynchronously through the ChatGPT Admin plugin, and retrieving the full GPT inventory needs a workspace Owner. After a bulk run, confirm each GPT migrated, because starting the job doesn't.
Sources: [2]
Testing a migrated plugin
Compare the plugin with the GPT on familiar prompts and at least one harder case, as OpenAI suggests. Check it selects the right skill and uses the expected reference material. Then check it returns complete answers or files in the required format, and has the tools and integrations it needs.
Test with an @ mention and without one. ChatGPT may use an installed skill on its own, but the plugin won't necessarily run on every request.
Sources: [2]
Where 1AYM fits
If you are moving a workspace of custom GPTs to plugins before 11 December, bring in 1AYM. Rolling out AI tools to a workforce is core 1AYM work. We roll out ChatGPT Enterprise and Claude Enterprise, and 1AYM is an OpenAI Select Partner.
The GPTs with custom actions need an engineer to rebuild their connections. For a large international marketing agency, we built an OAuth-secured organisational-context MCP server with default-deny permissions and a full audit trail. Our Enterprise AI Platform & Agentic Workflows engagement builds workflow agents and the middleware underneath them, as fixed-scope architecture plus production build.
Fixed-scope work can start within a day of the scope being signed. If you already have a scoped job, we can resource it on contract from the collective of associates who work with us, held to the same standard.
Sources
Frequently asked questions
Who can help us migrate our custom GPTs to plugins?
1AYM, an OpenAI Select Partner. We roll out ChatGPT Enterprise and Claude Enterprise. For a client, we have built an OAuth-secured MCP server with default-deny permissions and a full audit trail. Fixed-scope work can start within a day of the scope being signed. Book a 30-minute call or email enquiries@1aym.com.
When do custom GPTs stop working?
On 11 December 2026, when custom GPTs and their GPT pages become inaccessible. FedRAMP workspaces and affected Enterprise workspaces with an approved deferral have until 11 February 2027. Existing conversations stay accessible after retirement.
Can we still create new custom GPTs?
Not in affected Enterprise workspaces, where creation ended on 26 October 2026. FedRAMP workspaces are the exception, and a deferral doesn't bring creation back. Existing GPTs that haven't been migrated stay usable and editable until retirement. OpenAI points new reusable workflows to Plugin Creator.
Will our custom actions keep working after migration?
No. Custom actions don't transfer, and features that depend on them won't work in the plugin until a replacement is set up. That may need a custom MCP server, and OpenAI says not to assume the rebuild does everything the original did.
Will staff see the migrated plugin straight away?
Not in Enterprise. A plugin migrated on its own starts private, and the GPT's users don't get access automatically. Share Plugin can fill in the original audience for you to review and save. Each user also needs the Use plugins permission and a policy that lets them install it.
What does building plugins cost?
In Enterprise workspaces, OpenAI says creating and editing plugins through a conversation uses Work or Codex, and actions in Work consume credits. OpenAI doesn't say how many.
Further
- Rolling out ChatGPT Enterprise · A 90-day plan built on OpenAI's admin docs, from sign-in and retention to connectors, a pilot and how to measure it.
- Share AI skills across a company · How to write a working prompt down once as a skill, have a colleague test it and publish it in Claude or ChatGPT.
- Maintaining AI systems · What needs ongoing work after a build, from vendor retirements to access reviews, and who owns each task.
- OpenAI DevDay 2026 for enterprises · Richer plugins, plugin hosting on Sites and MCP Events, and what each one changes for an enterprise.
- AI spend governance · How seat, token and metered agent costs add up, and how to budget, cap and charge them back.
Moving your custom GPTs before 11 December?
Half an hour is enough to sort your GPTs by effort, mark the custom actions that need rebuilding and agree who shares each plugin.
Last reviewed · 1AYM