Google Gemini and ChatGPT added scheduled actions that let users schedule emails, messages, calendar events and reminders. This practical AI automation helps small teams adopt workflow automation and AI productivity tools while requiring careful permissions and monitoring.

On November 17, 2025, Wired reported that two leading AI assistants, Google Gemini and OpenAI ChatGPT, added scheduled actions, the ability to perform tasks at a specified time. This feature moves these assistants beyond conversation into practical AI automation that can send messages, create calendar events, run reminders and more. For small teams and busy people, automated scheduling is a low friction way to add AI productivity tools to everyday work.
Scheduled actions solve a common pain point: repetitive time bound tasks that interrupt workflow. Until now, chat based assistants mainly suggested or drafted content but stopped short of executing timed actions on the user behalf. Automating those follow up steps needs reliable access to calendars, messaging platforms and account permissions, plus safeguards to prevent mistakes. For non expert users, a simple way to set up AI task management promises immediate time savings without heavy engineering.
Scheduled actions let a user tell an assistant to take a specific action at a future moment. Common examples include:
Requiring explicit permissions reduces the risk of unauthorized actions, while tier fragmentation reflects different product strategies. For users the takeaway is simple: getting started with AI automation and automated scheduling is easy, but safe adoption requires deliberate steps to audit access and confirm behavior.
Scheduled actions change daily operations in several ways:
The addition of scheduled actions to Google Gemini and ChatGPT is a practical step in AI driven automation. It brings automated scheduling and other AI productivity tools to everyday workflows while underscoring the need for governance and testing. As AI moves from ideation and drafting toward reliable execution, the next questions are operational: who owns the automation, how will permissions be managed and which tasks are safe to hand over to algorithms? Answering these questions will determine how quickly scheduled actions move from convenience to standard practice.



