What are the different types of wearable AI?

The two-axis typology

Per DEPLOY's framework on AI wearables, wearable AI sorts along two intersecting axes. Trade-press coverage often types wearable AI by form factor alone or by AI capability alone; the framework's editorial work is intersecting both axes to produce the cohort typology.

Axis 1: form factor. Where the device sits on the body + which sensors + outputs it integrates.

Axis 2: AI substance tier per Agent A's AI-substance spectrum. What kind of AI capability the device verifiably ships, not what's marketed.

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Form factor axis

The cohort's form factor positions:

Smart glasses with display

Glasses with integrated visual display for AR-style information overlay. Cohort positioning: Brilliant Labs Frame (developer-accessible display variant); Meta Ray-Ban display variants where shipped at specific generations; emerging display-integrated cohort variants. End-user assumption: visual interface for AI responses + camera feedback + AR-style information overlay.

Smart glasses without display

Glasses with camera + microphones + speakers but no integrated visual display. AI interaction surfaces through voice + audio response rather than visual UI. Cohort positioning: Meta Ray-Ban base variants (camera + audio + Meta AI; no display); Rokid variants (some display variants + audio-focused variants); cohort variants across genuine cloud AI substance positions. End-user assumption: hands-free voice-driven AI interaction with camera-based visual context for queries.

Audio-only smart glasses

Glasses with camera + microphones + speakers + cloud AI integration but explicitly no display in the form factor. The audio-first form factor is structurally distinct from display-first glasses. Cohort positioning: Solos AirGo Vision (GPT-4o cloud + camera-based "look-and-ask" without display). End-user assumption: conversational AI + hands-free + camera-based context without visual interface.

Pendant recorders

Worn-on-clothing pendant form factor with microphone + cloud AI for voice capture + transcript + summarization + ambient recall. Cohort positioning: Plaud NotePin variants (capture + summarize use case); Friend Pendant (ambient companion use case); Bee Wearable (adjacent ambient-companion entrant); Humane AI Pin (smartphone-replacement-claim failure exemplar; commercial discontinued February 2025). End-user assumption: voice-driven AI captures + ambient context awareness.

Handheld + push-to-talk

Handheld form factor with display + push-to-talk interaction. Adjacent to pendant + glasses cohorts. Cohort positioning: Rabbit r1 (handheld AI assistant device; pilot active with marketing-vs-shipped gap).

Adjacent uncovered sub-categories (DEPLOY registry gaps)

Per DEPLOY's cap-flag-as-trust-signal, form-factor categories DEPLOY's current registry does not yet anchor at framework depth:

• Smart rings (e.g., Oura Ring 4): biometric + sleep + activity tracking + emerging AI integration. Health-monitoring use case. Not yet anchored as DEPLOY registry entity.
• Smart watches (e.g., Apple Watch, Fitbit, Samsung Galaxy Watch): biometric + activity + emerging AI integration. Health-monitoring + multi-purpose. Not yet anchored as DEPLOY registry entity.
• AI earbuds: hearables with AI integration (translation, voice queries, audio AI). Emerging category. Not yet anchored at framework depth.

Per DEPLOY's framework, these form-factor gaps are surfaced as editorial signal rather than fabrication. Trade-press coverage that surfaces these categories as "wearable AI" operates against cohort assumptions DEPLOY's registry has not yet anchored at framework depth.

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AI substance axis

Per Agent A's AI-substance spectrum, four positions:

Genuine cloud AI

Verifiable cloud model + multimodal capability shipping at consumer-deployment scale. Cohort positioning: Meta Ray-Ban (Meta AI + Look-and-Ask); Rokid (GPT + Gemini routing + offline translation); Solos AirGo Vision (GPT-4o cloud). Plaud + Friend + Bee at genuine cloud AI position (cap-flagged at DEPLOY registry anchor depth pending). Editorially distinguishable: cloud AI substance produces commercial-deployment-scale value at the depth that distinguishes commercial active from pilot or demo state.

Moderate open-source

SDK + integration depth varies + developer-accessible customization. Cohort positioning: Brilliant Labs Frame + Halo (open-source SDK + Liquid AI integrations). End-user assumption: customers as developers building on the platform, not consumers using as-shipped.

Partner-mediated

AI capability layered via third-party partnerships rather than first-party cloud integration. The verifiable AI depth varies + commercial-deployment scale depends on partnership depth. Cohort positioning: emerging entrants with partner-AI integrations.

Veneer

Marketing AI without verifiable shipped substance. Per DEPLOY's verified-vs-claimed framework, the framework distinguishes marketing AI claims from verified-shipped AI capability; cohort entrants whose AI integration operates at veneer depth surface at lower verification tier.

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Cross-axis exemplars

Intersecting form factor + AI substance produces the cohort's editorial typology:

• Smart glasses without display + genuine cloud AI + commercial active: Meta Ray-Ban + Rokid.
• Audio-only smart glasses + genuine cloud AI + commercial active: Solos AirGo Vision.
• Smart glasses (developer-accessible) + moderate open-source + commercial active: Brilliant Labs.
• Pendant recorders + genuine cloud AI + commercial active: Plaud + Friend + Bee (cap-flagged at DEPLOY registry anchor depth pending).
• Pendant + closed-ecosystem cloud dependency + commercial discontinued: Humane AI Pin.
• Handheld + marketing-vs-shipped gap + pilot active: Rabbit r1.
• Smart rings + health monitoring + DEPLOY registry gap: Oura Ring 4 + emerging entrants (uncovered).
• Smart watches + health monitoring + DEPLOY registry gap: Apple Watch + Fitbit + Samsung Galaxy Watch + emerging (uncovered).
• AI earbuds + emerging category + DEPLOY registry gap: hearables with AI integration (uncovered).

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What the framework adds vs trade-press typology

Per DEPLOY's framework, the two-axis typology distinguishes from trade-press single-axis typology because: (a) form factor alone collapses across AI substance depth (Meta Ray-Ban + Humane AI Pin are not the same "smart glasses" cohort despite both being head-worn); (b) AI substance alone collapses across form factor + use case (Plaud + Meta Ray-Ban are both genuine cloud AI but operate substantively different use cases); (c) cohort-position gaps (smart rings + smart watches + AI earbuds) require honest cap-flagging rather than aggregator-source extrapolation; (d) verification tier (commercial active / pilot / discontinued) distinguishes structurally similar form factors at different maturity states.

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Where to go for context

For broader AI wearables category context + AI-substance spectrum framework + ecosystem orientation, see what is an AI wearable. For wearable AI 'best of' selection framework, see best AI wearables 2026. For capability breakdown across use cases, see what does wearable AI do. For broader physical AI category context, see what is physical AI. For methodology canonical references applicable to wearable AI typology: verified-vs-claimed at within-entity granularity (AI-substance spectrum operating at within-product feature depth) + the 9-tier source-quality rubric.