Apple announces that the iOS 27 Shortcuts app will feature AI-powered workflow creation, allowing users to build automations via natural language prompts
Sarah Perez /TechCrunch:NEW
Context & Ripple Effects
Apple’s automation effort traces back to its 2017 acquisition of Workflow, followed by the iOS 12-era Shortcuts rollout. Coverage at the time emphasized its connection to system events, while the older Workflow app had already added notification-center access and cross-device syncing.
This update matters because it changes the creation layer of an established automation product: users may no longer need to assemble workflows action by action. It also arrives shortly after reporting that Apple planned to offer iOS 27 users a choice of third-party AI models for certain tasks.
First-order effects
- Shortcuts users can create automations from described outcomes rather than needing to understand the app’s action-by-action construction model.
- Apple makes Shortcuts more approachable to users who could benefit from automation but have not adopted its more technical workflow-building interface.
Second-order effects
- The value of being exposed as a Shortcuts action rises for apps and services, since natural-language creation can make those integrations easier for users to discover and combine.
- Apple’s planned support for multiple third-party AI models could make model choice part of the automation experience, increasing pressure on AI providers to compete on task usefulness within iOS rather than only on standalone chat interfaces.
Third-order effects
- If prompt-built workflows prove reliable, mobile automation could shift from a feature for users who configure flows manually to a more mainstream interface for coordinating device and app actions.
- The move points toward AI as an operating-system interaction layer: differentiation will depend less on producing text alone and more on safely turning user intent into actions across software services.
The trend: Apple is folding generative AI into established iOS utilities, using natural language to lower the friction of task automation rather than treating AI solely as a standalone assistant.