Apple to bring long-awaited AI Mail features to Macs and iPads

Apple Mail’s AI-enhanced features, which debuted on iPhones in iOS 18.2, will expand to Macs and iPads in upcoming software updates.

Key updates and timeline: Apple plans to release the upgraded Mail app for Mac in macOS 15.4 this April, with an iPad version also confirmed but without a specific release date.

• The new Mail app uses artificial intelligence to automatically categorize incoming messages, sorting receipts, newsletters, and other content into dedicated folders
• Apple previously previewed the Mac version of the updated Mail interface during an October presentation
• The update will arrive alongside improvements to Siri that enhance personal information handling and App Intents technology

Current implementation feedback: Initial reactions to the iPhone version of the upgraded Mail app have been mixed, with varying opinions from industry experts.

• Bloomberg’s Mark Gurman describes the iOS implementation as “terrific”
• Some users have reported issues with message indicators, email deletion processes, and truncated email displays
• Users will retain the ability to revert to the traditional “List View” through Mail settings if they prefer the classic interface

Additional AI features: The upcoming macOS updates will bring both new AI capabilities and some scaled-back features.

• MacOS 15.3, expected to release within weeks, will introduce Genmoji custom emoji support
• Apple is reducing AI-generated content in some areas, specifically removing AI summaries from news and entertainment apps
• Lock screen summaries will become optional and will appear in italics when enabled

Looking ahead: Apple’s cautious approach to AI implementation reflects growing concerns about artificial intelligence accuracy and reliability in consumer applications.

• The company appears to be taking a measured approach to AI integration, removing features that may be prone to errors or “hallucinations“
• The staggered rollout across platforms suggests Apple is refining the experience based on user feedback before wider deployment