𝗔𝗿𝗲 𝗦𝗺𝗮𝗿𝘁𝗴𝗹𝗮𝘀𝘀𝗲𝘀 𝗥𝗲𝗮𝗱𝘆 𝘁𝗼 𝗥𝗲𝗽𝗹𝗮𝗰𝗲 𝗦𝗺𝗮𝗿𝘁𝗽𝗵𝗼𝗻𝗲𝘀? @DXOMARK, 𝗂𝗇 𝖼𝗈𝗅𝗅𝖺𝖻𝗈𝗋𝖺𝗍𝗂𝗈𝗇 𝗐𝗂𝗍𝗁 Counterpoint Research 𝖺𝗇𝖽 @Qualcomm, 𝗂𝗌 𝗁𝗈𝗌𝗍𝗂𝗇𝗀 𝖺 𝗐𝖾𝖻𝗂𝗇𝖺𝗋 𝗍𝗈 𝖽𝗂𝗌𝖼𝗎𝗌𝗌 𝗍𝗁𝖾 𝗋𝖺𝗉𝗂𝖽𝗅𝗒 𝖾𝗏𝗈𝗅𝗏𝗂𝗇𝗀 𝗌𝗆𝖺𝗋𝗍𝗀𝗅𝖺𝗌𝗌𝖾𝗌 𝗆𝖺𝗋𝗄𝖾𝗍. 𝖮𝗎𝗋 𝖯𝗋𝗂𝗇𝖼𝗂𝗉𝖺𝗅 𝖠𝗇𝖺𝗅𝗒𝗌𝗍, Flora Tang (@tang_flora), 𝗐𝗂𝗅𝗅 𝖻𝖾 𝗌𝗉𝖾𝖺𝗄𝗂𝗇𝗀 𝗈𝗇 𝖺𝖽𝗈𝗉𝗍𝗂𝗈𝗇 𝗍𝗋𝖾𝗇𝖽𝗌, 𝗀𝗋𝗈𝗐𝗍𝗁 𝖽𝗋𝗂𝗏𝖾𝗋𝗌, 𝗋𝖾𝗀𝗂𝗈𝗇𝖺𝗅 𝖿𝗈𝗋𝖾𝖼𝖺𝗌𝗍𝗌, 𝖺𝗇𝖽 𝖼𝗈𝗆𝗉𝖾𝗍𝗂𝗍𝗂𝗏𝖾 𝖽𝗒𝗇𝖺𝗆𝗂𝖼𝗌 𝗂𝗇 𝗍𝗁𝖾 𝗀𝗅𝗈𝖻𝖺𝗅 𝗌𝗆𝖺𝗋𝗍𝗀𝗅𝖺𝗌𝗌𝖾𝗌 𝗆𝖺𝗋𝗄𝖾𝗍. 𝗠𝗮𝗿𝗸𝗲𝘁 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗳𝗿𝗼𝗺 𝗖𝗼𝘂𝗻𝘁𝗲𝗿𝗽𝗼𝗶𝗻𝘁 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝘄𝗶𝗹𝗹 𝗰𝗼𝘃𝗲𝗿: 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝘄𝗵𝗲𝗿𝗲 𝘁𝗵𝗲 𝘀𝗺𝗮𝗿𝘁𝗴𝗹𝗮𝘀𝘀𝗲𝘀 𝗺𝗮𝗿𝗸𝗲𝘁 𝗶𝘀 𝗵𝗲𝗮𝗱𝗶𝗻𝗴: •𝖠𝖽𝗈𝗉𝗍𝗂𝗈𝗇 𝗍𝗋𝖾𝗇𝖽𝗌 𝖺𝗇𝖽 𝗀𝗋𝗈𝗐𝗍𝗁 𝖽𝗋𝗂𝗏𝖾𝗋𝗌 •𝖱𝖾𝗀𝗂𝗈𝗇𝖺𝗅 𝖽𝗒𝗇𝖺𝗆𝗂𝖼𝗌 𝖺𝗇𝖽 𝖿𝗈𝗋𝖾𝖼𝖺𝗌𝗍𝗌 •𝖢𝗈𝗆𝗉𝖾𝗍𝗂𝗍𝗂𝗏𝖾 𝗅𝖺𝗇𝖽𝗌𝖼𝖺𝗉𝖾 𝖺𝗇𝖽 𝗉𝗋𝗈𝖽𝗎𝖼𝗍 𝖾𝗏𝗈𝗅𝗎𝗍𝗂𝗈𝗇 •𝖯𝗋𝗈𝖿𝗂𝗍𝖺𝖻𝗂𝗅𝗂𝗍𝗒 𝗈𝗎𝗍𝗅𝗈𝗈𝗄 𝖺𝗇𝖽 𝗂𝗆𝗉𝖺𝖼𝗍 𝗈𝖿 𝗆𝖾𝗆𝗈𝗋𝗒 𝗉𝗋𝗂𝖼𝗂𝗇𝗀 𝗘𝘃𝗲𝗻𝘁 𝗱𝗲𝘁𝗮𝗶𝗹𝘀 • 𝖩𝗎𝗅𝗒 𝟤𝟢, 𝟤𝟢𝟤𝟨 - 𝖤𝗇𝗀𝗅𝗂𝗌𝗁 𝖲𝖾𝗌𝗌𝗂𝗈𝗇 | 𝟧:𝟢𝟢 𝖯𝖬 - 𝟨:𝟢𝟢 𝖯𝖬 (𝖦𝖬𝖳 𝟤) | 𝖱𝖾𝗀𝗂𝗌𝗍𝖾𝗋 𝖧𝖾𝗋𝖾 (events.teams.microsoft.com/e…) • 𝖩𝗎𝗅𝗒 𝟤𝟥, 𝟤𝟢𝟤𝟨 - 𝖤𝗇𝗀𝗅𝗂𝗌𝗁 𝖲𝖾𝗌𝗌𝗂𝗈𝗇 𝗐𝗂𝗍𝗁 𝖢𝗁𝗂𝗇𝖾𝗌𝖾 𝖳𝗋𝖺𝗇𝗌𝗅𝖺𝗍𝗂𝗈𝗇 | 𝟧:𝟢𝟢 𝖯𝖬 - 𝟨:𝟢𝟢 𝖯𝖬 (𝖢𝖲𝖳) | 𝖱𝖾𝗀𝗂𝗌𝗍𝖾𝗋 𝖧𝖾𝗋𝖾 (events.teams.microsoft.com/e…) 𝗟𝗲𝗮𝗿𝗻 𝗺𝗼𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝘄𝗲𝗯𝗶𝗻𝗮𝗿 𝗵𝗲𝗿𝗲: counterpointresearch.com/en/… 𝗔𝗰𝗰𝗲𝘀𝘀 𝗼𝘂𝗿 𝗚𝗹𝗼𝗯𝗮𝗹 𝗫𝗥 & 𝗦𝗺𝗮𝗿𝘁 𝗚𝗹𝗮𝘀𝘀𝗲𝘀 𝗠𝗮𝗿𝗸𝗲𝘁 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗧𝗿𝗮𝗰𝗸𝗲𝗿 𝗵𝗲𝗿𝗲: counterpointresearch.com/en/… #XR #Smartglasses #AIGlasses #AI #DXOMARK #Qualcomm #CounterpointResearch

XGIMI’s camera-free MemoMind One smart glasses raised USD 586,000 on Kickstarter, debuting at CES 2026 with dual micro-LED displays, offline AI tools, starting at USD 400. @XGIMITech #XGIMI #SmartGlasses #MemoMind #CES2026 #MemoMindOne #AIGlasses #Hardware

🚀 AI AR UpdateGoolton achieves 45° FOV on a single PVG waveguide via dual-sided coating polarization multiplexing. 📍 Shenzhen AI AR Smart Glasses Expo 2026 (Oct 27–29) 🔗 isclick.cn/81228 #AIGlasses #ARGlasses #XR

Want to wear AI? The AG68 smart glasses are here! Top audio Real-time translation & AI 13MP POV camera Watch the test Which feature excites you the most? DM me for purchasing info! #AG68 #AIGlasses #TechGadgets #SmartWearable

From concept to commercialization. GetD provides end-to-end AI glasses solutions covering design, hardware, AI software, testing, and manufacturing. 📩If you're looking for an AI glasses ODM/OEM partner, feel free to reach out at marketing@igetd.com. #GetD #AIGlasses #ODM #OEM

Meta verrouille sa 1ère fonctionnalité IA payante sur ses lunettes connectées. “Conversation Focus” (isolement vocal en environnement bruyant) passe sous l’abonnement Meta One Premium à 20$/mois. Fin de la gratuité IA sur les lunettes Meta. #Meta #AIGlasses #Tech

AI-powered smart glasses are making everyday tasks easier with voice assistance, navigation, and AI features. But as adoption grows, so do concerns about privacy and surveillance. Read More: googleinfoblogs.com/ai-glass… #AIGlasses #ArtificialIntelligence #Privacy #TechNews

Football fans from around the world are heading to Shenzhen's Huaqiangbei during the 2026 FIFA World Cup to shop for the latest viewing gadgets. From projectors and tablets to AR glasses, Chinese tech is giving fans more ways to enjoy the tournament. Standout AI glasses feature a built-in AI assistant, support translation in 89 languages and can be fitted with prescription lenses. #WorldCup2026 #Huaqiangbei #AIGlasses #ConsumerTech #MadeInChina @ShenzhenPages

INMO GO3 Review: The AI Glasses That Finally Make Sense youtu.be/h58RZTVoLuI #arglasses #aiglasses #meta

Samsung Galaxy Glasses อาจมา ก.ค. นี้ แต่ถ้ามีแค่กล้องกับไมค์ ไม่มี HUD เลย ส่วนตัวว่าเริ่มไม่พอแล้วครับ แว่น AI ยุคนี้อย่างน้อยควรมีจอตามหน้าให้เห็นข้อมูลบ้าง #GalaxyGlasses #AIGlasses #XR maidevxr.com/aismartglasses/…

😎 #RogbidVisionPro is here! Powered by a Sony 13MP HD camera, it captures sharper moments with AI. 📸✨ Ready for every adventure! Learn More: bit.ly/buyvisionpro #rogbid #SmartGlasses #AIGlasses #AIWearables #CaptureLife #fashion #design #gadgets #worldcup #fypシ゚

AI Era: Core Terminal Ecosystem Positioning and User Insights This report reframes AI hardware as terminals where AI is deeply integrated into system architecture, interaction models, and value creation, rather than merely being an added-on feature. Its core premise is that the terminal gateway is shifting from a passive "application container" to a "Personal Intelligence Domain" capable of continuous perception, memory, decision-making, and action. 1. The Terminal Ecosystem Framework The report proposes a strategic division of labor among core hardware: Smart Glasses: Responsible for 24/7 environmental perception. Smartphones: Act as the hub for personal memory and directional decision-making. PCs: Function as nodes for local privacy, workflow management, and private knowledge repositories. Cloud: Manages complex reasoning and provides access to the latest global knowledge. 2. Consumer Insights and Behavioral Gaps High Awareness, Conditional Willingness: Over 90% of consumers are aware of AI products, and 62% have used them. However, the report’s conclusion that AI is a "key purchasing factor" needs nuance: AI functions act as a "tie-breaker" (key added value) for 44% of users, while only 14% view it as a primary "deciding factor." Primary Concerns: The report identifies a "usability gap." Consumers prioritize convenience (41%), smart interaction (30%), and entertainment (29%), but their purchasing friction remains driven by utility, privacy/security, and battery life. Credibility: While the qualitative framework is robust, the quantitative data (consumer preferences, purchase drivers) relies on proprietary surveys without fully disclosed methodology (e.g., sample weights, confidence intervals). The figures should be used as directional signals rather than audited market data. Analysis and Perspective The report’s primary value is identifying that AI hardware competition is not just about "specs"—it is about "task-chain control rights." The Control Paradox: The "Personal Intelligence Domain" is ultimately a competition over system permissions, model access, data retention, account ecosystems, and payment relationships. He who controls the user's "contextual awareness" captures the gateway. Utility vs. Gimmickry: A major blind spot is the assumption that AI-labeled features automatically justify price premiums. Consumers pay for verified task-completion loops (e.g., automated call summarization, cross-app automation, local privacy handling), not for the label of "AI-Native." Without quantifiable utility, AI functions risk being relegated to marketing gimmicks. Strategic Recommendations Avoid the "Feature-Stacking" Trap: Hardware manufacturers should stop focusing solely on model parameter counts. Priority should be given to: Cross-Device Task Continuity: Designing workflows that move seamlessly between glasses, phones, and PCs. Privacy Boundaries: Establishing transparent "local-first" processing for sensitive data. Power/Performance Balance: Managing the battery drain inherent in edge AI processing. Differentiate by Device Role: Smartphones: Focus on being the "Orchestration Hub." PCs: Lean into "High-Intensity Privacy/Knowledge Nodes." Glasses: Prioritize "Real-time Perception and Non-intrusive Interaction." Investment and Product Strategy: Use this report as a product positioning and ecosystem framework, not as a source for market-size forecasting or stock valuation. Any decision to adjust pricing based on "AI-Native" claims should be stress-tested against the report's identified obstacles: utility, privacy, and battery life. Conclusion: The competition in the AI terminal era is not about one device replacing all others; it is about building a cohesive "Distributed Personal Intelligence" system. The winner will be the entity that can unify these devices under a singular, measurable user-benefit framework, transforming AI from a feature into a fundamental utility. Keywords #AIHardware #AITerminals #AISmartphone #AIPC #AIGlasses #EdgeAI #OnDeviceAI #Agent #AINative #PersonalIntelligenceDomain #MultiDeviceCollaboration #DistributedComputing #PrivateKnowledgeBase #LocalRAG #PrivacySecurity #BatteryAnxiety #AIPricingPower #PurchaseDecision #SmartInteraction #Convenience #MultimodalInteraction #SmartGlassSubsidy #ARGlasses #UserInsights #ConsumerElectronics #AIEcosystem #CloudEdgeCollaboration #PersonalMemory #AIEntryPoints #HardwareGateway

AI Era: Core Terminal Ecosystem Positioning and User Insights This report reframes AI hardware as terminals where AI is deeply integrated into system architecture, interaction models, and value creation, rather than merely being an added-on feature. Its core premise is that the terminal gateway is shifting from a passive "application container" to a "Personal Intelligence Domain" capable of continuous perception, memory, decision-making, and action. 1. The Terminal Ecosystem Framework The report proposes a strategic division of labor among core hardware: Smart Glasses: Responsible for 24/7 environmental perception. Smartphones: Act as the hub for personal memory and directional decision-making. PCs: Function as nodes for local privacy, workflow management, and private knowledge repositories. Cloud: Manages complex reasoning and provides access to the latest global knowledge. 2. Consumer Insights and Behavioral Gaps High Awareness, Conditional Willingness: Over 90% of consumers are aware of AI products, and 62% have used them. However, the report’s conclusion that AI is a "key purchasing factor" needs nuance: AI functions act as a "tie-breaker" (key added value) for 44% of users, while only 14% view it as a primary "deciding factor." Primary Concerns: The report identifies a "usability gap." Consumers prioritize convenience (41%), smart interaction (30%), and entertainment (29%), but their purchasing friction remains driven by utility, privacy/security, and battery life. Credibility: While the qualitative framework is robust, the quantitative data (consumer preferences, purchase drivers) relies on proprietary surveys without fully disclosed methodology (e.g., sample weights, confidence intervals). The figures should be used as directional signals rather than audited market data. Analysis and Perspective The report’s primary value is identifying that AI hardware competition is not just about "specs"—it is about "task-chain control rights." The Control Paradox: The "Personal Intelligence Domain" is ultimately a competition over system permissions, model access, data retention, account ecosystems, and payment relationships. He who controls the user's "contextual awareness" captures the gateway. Utility vs. Gimmickry: A major blind spot is the assumption that AI-labeled features automatically justify price premiums. Consumers pay for verified task-completion loops (e.g., automated call summarization, cross-app automation, local privacy handling), not for the label of "AI-Native." Without quantifiable utility, AI functions risk being relegated to marketing gimmicks. Strategic Recommendations Avoid the "Feature-Stacking" Trap: Hardware manufacturers should stop focusing solely on model parameter counts. Priority should be given to: Cross-Device Task Continuity: Designing workflows that move seamlessly between glasses, phones, and PCs. Privacy Boundaries: Establishing transparent "local-first" processing for sensitive data. Power/Performance Balance: Managing the battery drain inherent in edge AI processing. Differentiate by Device Role: Smartphones: Focus on being the "Orchestration Hub." PCs: Lean into "High-Intensity Privacy/Knowledge Nodes." Glasses: Prioritize "Real-time Perception and Non-intrusive Interaction." Investment and Product Strategy: Use this report as a product positioning and ecosystem framework, not as a source for market-size forecasting or stock valuation. Any decision to adjust pricing based on "AI-Native" claims should be stress-tested against the report's identified obstacles: utility, privacy, and battery life. Conclusion: The competition in the AI terminal era is not about one device replacing all others; it is about building a cohesive "Distributed Personal Intelligence" system. The winner will be the entity that can unify these devices under a singular, measurable user-benefit framework, transforming AI from a feature into a fundamental utility. Keywords #AIHardware #AITerminals #AISmartphone #AIPC #AIGlasses #EdgeAI #OnDeviceAI #Agent #AINative #PersonalIntelligenceDomain #MultiDeviceCollaboration #DistributedComputing #PrivateKnowledgeBase #LocalRAG #PrivacySecurity #BatteryAnxiety #AIPricingPower #PurchaseDecision #SmartInteraction #Convenience #MultimodalInteraction #SmartGlassSubsidy #ARGlasses #UserInsights #ConsumerElectronics

AI Era: Core Terminal Ecosystem Positioning and User Insights This report reframes AI hardware as terminals where AI is deeply integrated into system architecture, interaction models, and value creation, rather than merely being an added-on feature. Its core premise is that the terminal gateway is shifting from a passive "application container" to a "Personal Intelligence Domain" capable of continuous perception, memory, decision-making, and action. 1. The Terminal Ecosystem Framework The report proposes a strategic division of labor among core hardware: Smart Glasses: Responsible for 24/7 environmental perception. Smartphones: Act as the hub for personal memory and directional decision-making. PCs: Function as nodes for local privacy, workflow management, and private knowledge repositories. Cloud: Manages complex reasoning and provides access to the latest global knowledge. 2. Consumer Insights and Behavioral Gaps High Awareness, Conditional Willingness: Over 90% of consumers are aware of AI products, and 62% have used them. However, the report’s conclusion that AI is a "key purchasing factor" needs nuance: AI functions act as a "tie-breaker" (key added value) for 44% of users, while only 14% view it as a primary "deciding factor." Primary Concerns: The report identifies a "usability gap." Consumers prioritize convenience (41%), smart interaction (30%), and entertainment (29%), but their purchasing friction remains driven by utility, privacy/security, and battery life. Credibility: While the qualitative framework is robust, the quantitative data (consumer preferences, purchase drivers) relies on proprietary surveys without fully disclosed methodology (e.g., sample weights, confidence intervals). The figures should be used as directional signals rather than audited market data. Analysis and Perspective The report’s primary value is identifying that AI hardware competition is not just about "specs"—it is about "task-chain control rights." The Control Paradox: The "Personal Intelligence Domain" is ultimately a competition over system permissions, model access, data retention, account ecosystems, and payment relationships. He who controls the user's "contextual awareness" captures the gateway. Utility vs. Gimmickry: A major blind spot is the assumption that AI-labeled features automatically justify price premiums. Consumers pay for verified task-completion loops (e.g., automated call summarization, cross-app automation, local privacy handling), not for the label of "AI-Native." Without quantifiable utility, AI functions risk being relegated to marketing gimmicks. Strategic Recommendations Avoid the "Feature-Stacking" Trap: Hardware manufacturers should stop focusing solely on model parameter counts. Priority should be given to: Cross-Device Task Continuity: Designing workflows that move seamlessly between glasses, phones, and PCs. Privacy Boundaries: Establishing transparent "local-first" processing for sensitive data. Power/Performance Balance: Managing the battery drain inherent in edge AI processing. Differentiate by Device Role: Smartphones: Focus on being the "Orchestration Hub." PCs: Lean into "High-Intensity Privacy/Knowledge Nodes." Glasses: Prioritize "Real-time Perception and Non-intrusive Interaction." Investment and Product Strategy: Use this report as a product positioning and ecosystem framework, not as a source for market-size forecasting or stock valuation. Any decision to adjust pricing based on "AI-Native" claims should be stress-tested against the report's identified obstacles: utility, privacy, and battery life. Conclusion: The competition in the AI terminal era is not about one device replacing all others; it is about building a cohesive "Distributed Personal Intelligence" system. The winner will be the entity that can unify these devices under a singular, measurable user-benefit framework, transforming AI from a feature into a fundamental utility. Keywords #AIHardware #AITerminals #AISmartphone #AIPC #AIGlasses #EdgeAI #OnDeviceAI #Agent #AINative #PersonalIntelligenceDomain #MultiDeviceCollaboration #DistributedComputing #PrivateKnowledgeBase #LocalRAG #PrivacySecurity #BatteryAnxiety #AIPricingPower #PurchaseDecision #SmartInteraction #Convenience #MultimodalInteraction #SmartGlassSubsidy #ARGlasses #UserInsights #ConsumerElectronics #AIEcosystem #CloudEdgeCollaboration #PersonalMemory #AIEntryPoints #HardwareGateway

Infinix Unveils AI GLASSES Series with Stylish Design that Brings Seamless AI to Everyday Life luxurylifestyle.com/headline… #glasses #AIglasses #eyewear #luxuryeyewear

We're going live on Discord to unbox MemoMind One, walk through the product, dive into Memo , and answer your questions live! 📅 Beijing: July 9 • 9:00–10:00 AM 📅 Eastern: July 8 • 9:00–10:00 PM If you've been wondering about the hardware, features, roadmap or anything else, this is your chance to ask the people building it. Join us on Discord discord.com/invite/h2kHkQZq9… Already have a question? Leave it in the comments below. We'll be pulling questions from the community to answer during the AMA. See you there 👋 #AIGlasses #DiscordAMA #Kickstarter

INMO GO3 Unboxing!!! In this video, we go through everything in the box, first impressions, and a quick look at the design and build. 🔥 Presale is LIVE now — get $100 OFF with our launch coupon: 👉 inmoxr.com/products/inmo-go3 #INMOGO3 #INMO #SmartGlasses #AIGlasses #Unboxing

Giants, Cross-Industry Rivals & Star Brands Rush In: Booming AI & AR Glasses Track H1 2026 Watch the full video:youtu.be/l1Yz69O6X5Q #AIGlasses #ARGlasses #SmartGlasses #Wearable

We spend hours looking down at screens - and neck strain builds up silently. GetD GSPRO AI Glasses uses a built-in 6-axis gyroscope to monitor posture and gently remind you before strain becomes a habit. More info: marketing@igetd.com #AIGlasses #WearableTech #NeckHealth #GetD

The future of communication is here. Check out these AI glasses providing real-time translation and data overlay on the go. This tech is absolutely mind-blowing! #AIGlasses #TechNews #Innovation #AI