Apple Is Developing Wearable Device With AI Focus to Compete in the Market

Hello HaWkers, Apple is working on a new wearable device that puts artificial intelligence at the center of the user experience. According to recent reports, the device represents a new product category for the company, going beyond Apple Watch and AirPods.

The news comes at a time when companies like Meta and startups like Humane and Rabbit are trying to define the future of AI wearable devices. Apple, known for entering categories late but dominating them, seems to be positioning itself for this race.

What We Know About the Device

Available Information

Although Apple keeps its projects secret, some information has leaked.

Reported features:

• Focus on voice and AI interaction
• Advanced natural language processing
• Deep integration with Apple ecosystem
• Possible pendant, bracelet, or lightweight glasses format
• Connection to iPhone for heavy processing

What differentiates it from Apple Watch:

Aspect	Apple Watch	New Device
Focus	Health and notifications	AI and personal assistant
Interaction	Touch + voice	Voice primary
Screen	Main display	Minimal or none
Independence	Semi-independent	iPhone dependent

Speculated timeline:

• 2026: Development and internal testing
• 2027: Possible prototype leaks
• 2028: Potential launch

The AI Wearables Market Context

The Race for AI Devices

The AI wearable device market is booming.

Current players:

1. Humane AI Pin

   • Launched in 2024
   • Price: $699 + $24/month
   • Reception: Mixed reviews
   • Problem: Too expensive, little utility

2. Rabbit R1

   • Launched in 2024
   • Price: $199
   • Reception: Initial curiosity, later disappointment
   • Problem: Does less than a smartphone

3. Meta Ray-Ban

   • Launched in 2023, updated in 2024
   • Price: $299
   • Reception: Relative success
   • Differential: Familiar format (glasses)

4. Meta Orion (prototype)

   • Announced in 2024
   • Price: TBD
   • Status: Development

Market lessons:

So far, no AI wearable device has managed to justify its existence separate from a smartphone. Apple needs to solve this problem.

Why Apple Is Entering This Market

Apple's Strategy

Apple has a history of entering markets after observing pioneers' mistakes.

Historical Apple patterns:

Product	Pioneers	Apple Entered	Result
MP3 Player	Creative, Rio	iPod (2001)	Dominance
Smartphone	Nokia, Palm	iPhone (2007)	Revolution
Tablet	Microsoft	iPad (2010)	Category
Smartwatch	Pebble, Samsung	Apple Watch (2015)	Leader

Apple's advantages:

1. Ecosystem: Integration with iPhone, Mac, iPad
2. Improved Siri: Heavy investments in AI
3. Neural Engine chip: Hardware optimized for AI
4. Privacy: On-device processing
5. Distribution: Global Apple Stores

Challenges to overcome:

• Define compelling use case
• Avoid being "iPhone in X form"
• Create experience that justifies Apple price
• Compete with cloud-based solutions

Implications for Developers

New Opportunities

If Apple launches an AI wearable device, new opportunities will emerge.

Opportunity areas:

1. Voice apps

   • Conversational interfaces
   • Voice skills and actions
   • Siri integration

2. Local AI

   • Device-optimized models
   • Advanced Core ML
   • Real-time processing

3. Context integration

   • Location and environment
   • Health data
   • Calendar and habits

4. New APIs

   • Sensor access
   • Device-to-device communication
   • Exclusive AI features

Technologies to study:

// Example of how voice apps might work
// (speculative based on existing patterns)

import SiriKit
import CoreML

// Handler for voice intents
class AIAssistantIntentHandler: INExtension {

    // Process voice commands
    func handle(intent: CustomVoiceIntent) async -> Response {
        // Use local AI model
        let localModel = try? AIAssistantModel(configuration: .init())

        // Process voice input
        let result = localModel?.process(intent.spokenText)

        // Return response
        return Response(text: result?.response ?? "Sorry, I didn't understand")
    }
}

// Core ML model for local processing
class AIAssistantModel {
    private let model: MLModel

    func process(_ text: String) -> AIResponse? {
        // Local natural language processing
        // Without sending data to cloud
        let embedding = tokenize(text)
        let prediction = try? model.prediction(from: embedding)
        return AIResponse(from: prediction)
    }
}

The Siri Overhaul

Apple Intelligence and Siri

Apple has invested heavily in improving Siri.

Planned evolution:

• iOS 18: Initial integration with Apple Intelligence
• iOS 19: More conversational and contextual Siri
• iOS 27: "Major overhaul" according to rumors

Expected improvements:

1. More natural and contextual conversations
2. Memory of previous interactions
3. Deep integration with third-party apps
4. Ability to execute complex actions
5. Hybrid processing (local + cloud)

Privacy differential:

Apple bets on on-device processing to differentiate itself from competitors who depend on the cloud. This is a strong argument for privacy-conscious users.

Comparison With Competing Approaches

Different Philosophies

Each company has a different approach to AI wearables.

Apple (speculated):

• Privacy first
• On-device processing
• Ecosystem integration
• Premium pricing
• Format TBD

Meta:

• Social and communication
• Glasses as format
• Camera and display
• Accessible price
• Augmented reality

Google:

• Search and information
• Android ecosystem
• Cloud-first
• Multiple formats
• Integrated assistant

Humane/Rabbit:

• New interaction paradigm
• Dedicated hardware
• Smartphone independent
• Experimental
• Mixed reception

Who will win?

History suggests that devices that complement smartphones (like Apple Watch) are more successful than devices that try to replace them (like Humane AI Pin).

What Developers Should Do Now

Preparing for the Future

Even without knowing exactly what Apple will launch, developers can prepare.

Skills to develop:

1. SiriKit and App Intents

   • Create voice experiences
   • Integrate with Shortcuts
   • Define custom intents

2. Core ML and Create ML

   • Train models for device
   • Optimize for Neural Engine
   • Real-time processing

3. SwiftUI for multiple screens

   • Adaptive interfaces
   • Watch complications
   • Widgets and Live Activities

4. HealthKit and sensors

   • Health data
   • Environmental sensors
   • User context

Recommended resources:

• Apple documentation on Apple Intelligence
• SiriKit and App Intents tutorials
• WWDC sessions on on-device ML
• Core ML Tools and Create ML

The Future of Wearables

Trends for the Coming Years

The wearables market is transforming.

Predictions:

1. 2026-2027: Experimentation with formats
2. 2028-2029: Consolidation around winners
3. 2030+: AI wearables as established category

Success factors:

• Clear and differentiated use case
• Natural integration with routine
• Justifiable price
• Sufficient battery
• Privacy and security

What did NOT work:

• Devices that duplicate smartphone functions
• Strange or socially uncomfortable format
• Excessive dependency on connectivity
• High price without proportional value

Conclusion

The rumor about Apple's AI wearable device reflects a larger trend: the race to define the next major computing platform after the smartphone. For developers, it's a time to observe, learn, and prepare.

Key points:

1. Apple is working on AI-focused wearable device
2. Current AI wearables market has had mixed results
3. Apple has history of entering late but dominating categories
4. Developers can prepare by studying SiriKit and Core ML
5. The future of wearables depends on finding compelling use cases

Recommendations:

• Follow news about Apple Intelligence
• Study voice experience development
• Experiment with Core ML and on-device models
• Observe how the market evolves
• Be ready to adapt when there's a launch

To understand more about AI trends in development, read: Vibe Coding: The New Trend That Is Changing How We Program.

Let's go! 🦅