Samsung and Glance are expanding the reach of AI-powered, face-based advertising on mobile devices, bringing a new opt-in experience that uses a selfie to generate personalized fashion ads. The collaboration aims to insert AI-driven shopping content into Samsung’s Galaxy ecosystem, rolling out across a wide range of Galaxy devices in the coming weeks. The approach blends Glance’s longstanding lock-screen ad experiences with advanced AI, allowing users to see and potentially purchase outfits tailored to a digital avatar of themselves. While the feature is opt-in and can be avoided by simply not enabling Glance, its introduction marks a notable shift in how ads may appear on the lock screen and how AI-generated imagery could be used to influence consumer choices on mobile devices.
Overview of the Glance-Samsung AI Shopping Initiative
Samsung has teamed up with Glance to bring an AI shopping experience to numerous Galaxy smartphones, positioning the lock screen as a prime advertising real estate for fashion and lifestyle brands. This collaboration leverages Glance’s existing lock-screen framework, which has historically delivered curated imagery, news, and brief notifications, but now integrates an artificial intelligence layer that personalizes content using a user’s own image. The core idea is to create immersive, self-referential fashion ads that appear on the lock screen and within a standalone Glance AI app, both designed to be opt-in rather than forced experiences.
The partnership builds on Glance’s earlier model, where non-AI lock-screen experiences were bundled with devices from Samsung and other manufacturers. In those iterations, users encountered visually appealing imagery and content along with advertising and data-tracking elements. The new Glance AI feature preserves the familiar offerings—photos, destinations, recommendations, and timely updates—but adds a personalized, face-driven dimension. In practical terms, if a user agrees to participate, the system will request permission to take a selfie and collect basic body-type information. This data then feeds AI models to generate fashion ads featuring the user “in outfits and destinations you would never imagine,” with the option to tap to purchase the showcased looks.
The rollout is designed to occur across a broad lineup of Galaxy devices over the next month, with the process beginning immediately on many phones. Glance emphasizes that the experience is fully opt-in: users who do not engage with Glance in any way will continue to experience the standard, non-AI lock screen experience without any advertising embedded in the lock screen. The AI shopping feature can exist as a standalone Glance AI app in the Google Play Store and as a tightly integrated component within Samsung’s lock screen experience via Galaxy Store on compatible Samsung devices. The plan is to reach additional devices within a 30-day window, expanding the reach to more users and devices beyond the initial roll-out.
In a broader market context, Glance’s move is part of a broader wave of AI-powered shopping experiences that aim to blend consumer intent with visual and interactive advertising. Notably, at Google I/O, Google introduced its own take on AI-powered shopping experiences with an “AI Mode” that incorporates a virtual try-on capability—allowing users to generate AI images of themselves wearing items that appear in shopping results. While Google’s approach centers on simulated try-ons within search results, Glance’s approach integrates AI-generated imagery directly into the lock screen experience, constantly producing new visuals tied to trending content, local events, and social media moments. The contrast between these strategies highlights a broader trend toward more personalized, image-driven shopping experiences across platforms, with varying degrees of privacy trade-offs and consumer control.
What this means for users is a future where the lock screen can present a stream of AI-generated visuals featuring the user in outfits tailored to their apparent preferences and context. The potential for one-tap purchasing—where a user can buy a labeled item with a single tap—could streamline the conversion path for brands, while also expanding the monetization opportunities for both Glance and Samsung. For privacy advocates, the shift raises questions about how biometric data, generated avatars, and AI-crafted imagery are stored, used, and shared, especially as such visuals become more realistic and integral to shopping decisions.
How Glance AI Works on Samsung Devices
The Glance AI experience is designed to be an integrated yet opt-in feature that can function both as a standalone application and as an enhancement to the existing lock-screen interface on Samsung devices. Users who decide to participate will begin by providing consent to take a selfie and share basic demographic or body-type details that help tailor fashion recommendations. From there, the AI pipeline is activated to generate fashion ads that leverage the user’s likeness and body metrics as the basis for personalized visuals.
Key to this workflow are the AI engines that power the customization: the system leverages Google Gemini and Imagen to craft fashion visuals that place the user, in digital form, into outfits and destinations aligned with the user’s apparent preferences and current fashion trends. The resulting ads are presented on the lock screen and, within the Glance AI app, in a feed or gallery-like presentation that showcases outfits the user could hypothetically wear. The claims about the product indicate that the user will be able to tap on the images to buy the featured looks, enabling a direct route from advertisement to purchase. This capability integrates Glance’s advertising ecosystem with the retailer-friendly model of mobile shopping, making it possible for revenue to be earned through affiliate arrangements or similar monetization strategies.
The user experience is designed to preserve choice. If a user chooses not to engage with Glance at all, the phone behaves as it would without Glance AI: the standard lock screen remains available, and no AI-generated imagery or personalized ads appear on the screen. If the user opts into Glance AI, the feature is delivered through both the lock-screen interface and the standalone Glance AI app available in the Google Play Store. On Samsung devices, the rollout is handled through Samsung’s Galaxy Store, ensuring a seamless installation path for Galaxy users who wish to participate in the program.
From a technical perspective, the integration relies on a combination of on-device rendering and cloud-based AI processing to generate the visuals. While Glance’s policy notes that biometric data used to create a user’s digital avatar may be retained for up to 12 months from the last interaction with the service or until the user manually deletes their account, the company asserts that the images will not be used for other purposes or shared with third parties without explicit consent. The data processing framework includes basic location data usage to enhance ad targeting, and a portion of the data may be shared with Glance’s partners to support the advertising ecosystem. The privacy policy, as presented by Glance, aligns with common industry practices, though it is still a matter of concern for users who value strict separation between biometric data and advertising preferences.
The scheduling of the rollout indicates a phased approach: the initial wave of devices includes multiple generations within the Galaxy S22, S23, S24, and S25 series, with the AI features being made available through both the standalone app and the lock-screen integration. Samsung and Glance anticipate expanding to a broader range of devices within 30 days, suggesting a scalable deployment plan that could encompass additional Galaxy devices and potentially other partner devices that support Glance’s technology stack. The combination of a dedicated app and a lock-screen integration offers flexibility: users can interact with Glance AI in a separate interface if they wish, or simply enjoy a leaner, AI-informed lock-screen experience.
In summary, the Glance AI feature on Samsung devices is an opt-in, dual-delivery system that leverages the stand-alone Glance AI app and a tightly integrated lock-screen experience. It entails a selfie-based personalization workflow, AI-generated fashion ads produced via Gemini and Imagen, and a direct purchase channel through tap-to-buy actions. The rollout is designed to be gradual but expansive, with the company signaling confidence that a broader device support window will be achieved within a short timeframe. The privacy and data-handling choices embedded in this system are intrinsic to the design and are intended to balance personalization with user consent, though they also raise questions about biometric data usage, retention, and sharing with partners.
Privacy, Data Handling, and User Consent
The introduction of AI-generated, face-based advertising touches on sensitive privacy and data governance issues. Glance’s stated privacy posture frames the biometric data used to create digital avatars and the associated personal information as protected by policy measures, retention windows, and consent-driven controls. The policy indicates that users who participate will have their data processed to generate AI imagery that reflects the user’s likeness, including the use of a digital avatar for ongoing advertising personalization. The retention policy specifies that biometric data used for avatar creation may be kept for up to 12 months from the user’s last interaction with the Glance service or until the user deletes their account. This retention window is relatively standard within enterprise privacy guidelines for AI-driven personalization, yet it remains a concern for users who are wary of how their facial likeness is stored and reused.
Glance states that the images generated and the data used to create avatars will not be repurposed beyond the explicit consent provided by the user, nor will they be shared with third parties without user approval. The company argues that this approach is aligned with industry norms for ad-supported AI technologies, where data collection and user profiling are necessary for effective personalization. Nevertheless, critics of such models argue that even with consent, biometric data and face-derived imagery can be challenging to manage, especially given the evolving capabilities of AI to produce increasingly realistic and contextually relevant visuals.
The policy also notes that users’ data may be used for location-based targeting and shared with partner organizations within the Glance ecosystem. This is a common practice in mobile advertising, where partnerships enable advertisers to reach consumers with tailored content. However, it raises core questions about transparency, user control, and the ability to restrict data sharing with third parties. In the context of biometric data, this becomes even more sensitive because the data can be inferred to represent a person’s identity with a high level of fidelity, even if the underlying biometric data is stored in a protected form.
From a risk perspective, there are several potential concerns:
- Data minimization and scope: The extent of data collection, including location and biometric information, may exceed what some users expect for a lock-screen experience. The line between improving personalization and over-collection of sensitive data can be hard to draw.
- Data retention: A 12-month retention window for biometric data can feel long for privacy-conscious users. In some regions, stricter data retention policies apply, and users may require longer periods to request deletion or to exercise the right to be forgotten.
- Cross-platform sharing: While consent is a prerequisite for sharing data with partners, the practical reality is that many users may not fully understand how their data could flow within the broader ecosystem, including ad networks, measurement services, and analytics platforms.
- Avatar realism and deception: The ongoing generation of AI images featuring a user’s likeness can lead to concerns about the potential for misrepresentation or misuse, such as the creation of content that the user did not authorize or anticipate.
The product team’s stance emphasizes user choice and opt-in participation, enabling users to start or stop Glance AI’s functionality at any time. It is crucial for users to be aware of how to opt out, what exact data is collected, where it’s stored, and how it’s used, along with the process to delete personal data and revoke consent if they change their minds. Those who prefer to maintain a higher degree of privacy can simply refrain from installing the Glance AI app or disabling Glance in the Galaxy Store or Play Store settings.
Another dimension of privacy is the broader market context. The AI shopping concept sits next to other AI-powered shopping features that generate images or virtual try-ons (such as the Google I/O announcements) that rely on synthetic imagery to aid purchasing decisions. The juxtaposition of a live, personalized lock-screen experience with synthetic visuals intensifies concerns about consent, the ethics of AI-generated likenesses, and the long-term implications of biometric data usage in advertising. It also highlights the tension between consumer convenience and privacy protections in an era of increasingly immersive AI-driven experiences.
For consumers, the practical questions are:
- How can I opt out if I don’t want AI-generated content on my lock screen?
- How can I review or delete the biometric data tied to my Glance avatar?
- What specific data is shared with partners, and can I limit this sharing?
- How does the app ensure that the declared retention period is enforced, and what happens when the data is deleted?
- Are there regional or legal considerations that alter how this technology is deployed or regulated?
Glance’s privacy policy, as assessed, does not raise obvious red flags for those who accept the standard industry practices; however, the presence of a persistent, AI-generated assistant that visualizes the user’s likeness on a daily basis intensifies the need for transparent, accessible controls and clear data handling explanations. The balance between creating a compelling, personalized shopping experience and preserving user privacy is delicate, and the ongoing rollout will likely be a focal point for discussions among privacy advocates, regulators, and the broader user community.
The UX: Opt-In Nature and Interactions on Lock Screen
The user experience is built around a central premise: participation is optional, and the lock screen remains a default experience for those who choose not to engage. The standalone Glance AI app provides a primary interface for engaging with the AI shopping experience, while the lock screen acts as a dynamic canvas that can display AI-generated visuals derived from the user’s own likeness. The opt-in model is designed to respect user autonomy, ensuring that users are not unexpectedly exposed to personalized ads or AI-generated images without their consent.
For participants, the UX flow typically follows these steps:
- Install and configure Glance AI on a compatible Galaxy device via Galaxy Store (and/or download the standalone Glance AI app from the Google Play Store).
- In-app prompts guide the user through taking a selfie and providing basic body-type or fitting details needed to personalize fashion recommendations.
- The AI engine processes the data and generates personalized visuals that reflect outfits and destinations aligned with detected preferences and current fashion trends.
- The lock screen then displays these AI-generated visuals, integrating seamlessly into the user’s everyday device interactions, with new visuals appearing in line with the ongoing AI training signals (i.e., trending content and events).
- A tap on a featured look can initiate a purchase flow, directing the user to the retailer or partner marketplace responsible for the sale.
- Users can manage privacy settings, including opting out of data sharing with partners, limiting location-based targeting, or turning off the AI features entirely.
From a usability standpoint, a notable advantage of this approach is the potential for quick conversion. The lock screen is a highly engaged surface, with frequent interactions as users check notifications, glance at alerts, or unlock the device. By delivering ads and shopping options in this space, brands gain exposure at a moment when purchase intent may be rising, especially if the visuals resonate with the user’s inferred style preferences. The one-tap purchase possibility reduces friction between interest and transaction, potentially boosting conversion rates for advertised items.
However, the UX design must also contend with potential usability drawbacks. For some users, the presence of AI-generated imagery featuring their likeness might feel intrusive or unsettling, especially if the visuals are produced and displayed repeatedly. The dynamic nature of the lock screen—where ads can appear and reappear on a frequent, routine basis—demands robust controls, including easy opt-out access, a straightforward way to reset or deactivate the AI features, and reliable notification that the lock screen content is AI-driven. The balance between compelling personalization and user comfort is delicate; missteps could lead to user dissatisfaction or opt-outs.
In addition to opt-in controls, the UX includes information architecture considerations. Clear onboarding content helps users understand what data is collected, what it is used for, how long it will be retained, and how to delete their data if desired. Presenting this information in an accessible, succinct manner is essential to maintaining trust while still delivering an engaging AI-based shopping experience. The lock screen’s visual density must be calibrated so it remains practical for daily use, avoiding excessive visual clutter or performance concerns on devices with varying hardware capabilities. In practice, Samsung and Glance are likely to implement a layered approach: core lock-screen content remains lightweight for performance and battery efficiency, while AI-generated visuals are delivered in a curated subset of experiences that users can customize, disable, or adjust according to their preferences.
Market Context: AI Shopping and Competitive Landscape
The Glance-Samsung AI shopping initiative sits within a broader market landscape where AI-powered shopping experiences are becoming increasingly prominent. Competitors and contemporaries are experimenting with ways to embed AI-generated visuals into shopping funnels, often focusing on search experiences, virtual try-ons, and personalized recommendations. For example, Google’s announcement of AI Mode shopping at its recent event introduced virtual try-on capabilities that enable users to generate AI imagery showing themselves wearing items that appear in shopping results. This approach emphasizes search-based discovery and visualization, enabling users to simulate fashion looks and compare options in a more interactive way.
Glance’s strategy, by contrast, takes advantage of a persistent, device-wide surface—the lock screen—to deliver ongoing, personalized visuals and shopping opportunities. The appeal for advertisers is significant: a highly visible, influential touchpoint that users interact with during routine device unlocks. For Samsung, the opportunity is twofold: a new revenue stream from AI-driven advertising and a sharper value proposition for customers who favor a highly personalized device experience. For users, the trade-offs center on consent, privacy, and the degree to which they are comfortable with AI-generated imagery that uses their likeness to tailor shopping content.
From a broader ecosystem perspective, this initiative underscores a trend toward more immersive, image-driven shopping experiences that blend brand storytelling with real-time personalization. It also signals a continuing interest in monetizing the lock screen as an advertising surface, a concept that has existed in various forms for years but is being reimagined with the capabilities of AI. For app developers and device makers, the Glance-Samsung collaboration represents a template for how AI-driven personalization can be integrated into mainstream device experiences—provided that privacy controls, user consent, and transparent data handling practices are rigorously maintained.
As the market evolves, regulators and privacy advocates will likely scrutinize such implementations more closely, particularly around biometric data usage, retention periods, and consent mechanisms. The outcome of these discussions could shape future iterations of the technology, with possible improvements in consent workflows, data minimization practices, and more granular user controls. For consumers, the evolving landscape means staying informed about what data is collected, how it is used, and how to exercise control over AI-based experiences on their devices.
Availability, Rollout, and Future Plans
Glance and Samsung have outlined a phased rollout approach designed to scale across a wide range of Galaxy devices. The AI shopping feature is starting to appear on numerous phones as an opt-in option, with the rollout extending to Samsung devices across the Galaxy S22, S23, S24, and S25 lineups. The experience will be delivered through both a standalone Glance AI app available in the Google Play Store and an integrated experience within Samsung’s Galaxy Store. The dual-delivery method provides flexibility for users who prefer a distinct app experience and for those who want a more seamless lock-screen integration.
The initial deployment marks the first wave of devices within the Galaxy ecosystem that will support Glance AI. Samsung and Glance expect to broaden coverage to additional devices within roughly 30 days, expanding the reach to more users across the Galaxy device spectrum. This upbeat timeline suggests a fast testing-and-scaling approach, with lessons learned from early users feeding into broader integration plans. The plan also entails ongoing updates to the AI shopping experience, with Ad content refreshed in line with evolving trends, events, and regional preferences, ensuring that the visuals remain timely and relevant.
In terms of platform strategy, the Glance AI feature’s availability in the Play Store and Galaxy Store indicates an intent to maximize accessibility for Android users who wish to participate, regardless of device maker within the Android ecosystem. For Samsung hardware owners, this approach promises a more cohesive experience—an AI-driven enhancement that merges with the device’s native lock-screen behavior, providing a consistent interface and predictable performance. The combined approach aligns with broader industry trends that emphasize cross-store availability for mobile apps while maintaining device-specific optimizations to ensure a fluid user experience.
Looking ahead, Glance and Samsung are signaling that their AI shopping initiative is not a one-off pilot but part of a broader strategic push to embed AI-driven personalization into core device experiences. The emphasis on opt-in participation, paired with the promise of expanding to a larger device base within a 30-day window, suggests that the partnership views the feature as a scalable, long-term investment in AI-enhanced consumer engagement. The extent of future expansion will likely be influenced by user acceptance, privacy considerations, and the ability to maintain a high-quality experience across a growing device population.
Implications for Consumers and the Advertising Ecosystem
For consumers, the Glance AI experience offers the opportunity to explore fashion and lifestyle advertising in a highly personal, interactive format. The convenience of discovering items that align with one’s perceived tastes on the lock screen, followed by a simple tap-to-buy action, can streamline the shopping journey. However, the immediacy and personalization weaves in questions about how much of one’s own image is being used to curate content and how comfortable users are with AI-generated visuals appearing in daily device interactions. The opt-in model is essential, but true consumer trust hinges on transparent explanations of data use, clear controls for consent, and robust options to disable or delete data at any point.
From an industry perspective, the integration of AI-generated avatars into the ad ecosystem signals a shift in how brands engage with mobile users. The potential for higher engagement and improved click-through rates could translate into stronger monetization opportunities for Glance and Samsung, while retailers could benefit from more directly purchased outcomes. Advertisers are likely to be attracted to the lock-screen’s undeniable visibility, paired with the precision that AI-generated avatars can offer regarding demographic and stylistic cues. Yet this also increases the risk of ad fatigue or user backlash if the experience feels invasive, intrusive, or overly aggressive. The balance between creative personalization and user-friendly privacy safeguards will determine the long-term success of AI-based lock-screen advertising.
As the market matures, we can anticipate refinements in several areas:
- Privacy controls: More granular opt-in/opt-out settings, with clearer explanations of data usage and retention.
- Personalization calibration: Mechanisms to adjust the intensity of personalization, frequency of AI visuals, and the types of content shown.
- Transparency: Clear disclosures about how AI-generated imagery is produced, what data is used, and how it is stored and shared.
- Performance and battery impact: Optimized rendering and resource management to minimize any effect on device performance and power consumption.
For users who are hesitant or concerned about biometric data usage, the most prudent approach remains straightforward: avoid enabling Glance AI, or disable or uninstall the Glance AI components if they have already been installed. Regularly review privacy settings and consider data deletion options if there is any desire to sever biometric data ties with Glance’s services. The opt-in model ensures that participation is a choice, but informed consent is the key to a sustainable and trustworthy user experience.
Technical Underpinnings: AI Models, Data Processing, and Policies
The AI backbone of Glance AI’s fashion personalization involves integrating advanced large-language and image-generation models. The core engines referenced are Google Gemini and Imagen, which underpin the visual synthesis that places the user’s likeness into fashion ads. The use of a dual-model approach—one for contextual understanding and one for image generation—enables the creation of plausible, stylized visuals that align with current fashion cues and personal body type details. The combination supports a workflow where user-provided inputs (selfies and body-type descriptions) guide the generation of imagery that appears on the lock screen or within the app.
Data processing for this feature encompasses the collection of biometric data used to create digital avatars, along with metadata such as approximate location for targeting purposes and other interaction data. The policy states that biometric data is retained for up to 12 months from the last interaction or until account deletion. This retention period reflects industry norms for AI-based personalization where prolonged data availability can improve model accuracy and ad relevance, but it also necessitates robust data governance to prevent misuse or unauthorized retention.
From a security and privacy engineering perspective, several design considerations come into play:
- Data minimization: Collect only the data strictly necessary to deliver the personalized ads and ensure it is used solely for that purpose.
- Data segregation: Keep biometric data and non-biometric data in clearly separated storage and processing environments to minimize risk in the case of a breach.
- Access controls: Enforce strict access policies to limit who can view or process biometric data, with authentication and auditing mechanisms.
- Anonymization and pseudonymization: Where possible, apply techniques to reduce identifiability of data used for analytics and advertising.
- Retention and deletion: Provide straightforward mechanisms for users to delete their data, with clear timelines for deletion from backups and live storage.
- Data sharing with partners: Clearly disclose which partner networks have access to data and under what constraints, while enabling users to opt out of such sharing.
The policy and practical implementation indicate that Glance intends to maintain a privacy and consent-driven model, but the existence of biometric data usage, avatar creation, and asset generation raises ongoing conversations about the robustness of consent, the boundaries of data reuse, and the potential for future expansions of data use beyond advertising. The combination of on-device experiences and cloud-based AI generation means that some steps in the pipeline will occur outside the device environment, which heightens the need for end-to-end security, encryption at rest and in transit, and careful governance of data access by internal teams and external partners.
For developers and device manufacturers, the Glance-Samsung collaboration represents a case study in balancing immersive AI experiences with privacy protections. It highlights the importance of transparent user education, accessible controls, and ongoing compliance with regional privacy regulations. It also suggests potential opportunities for improvements in model governance, context-aware consent prompts, and user-centric privacy dashboards that allow users to see what data is being used, how it is stored, and how to revoke consent.
Consumer Guidance: What to Expect and How to Opt-Out
If you are considering participating in Glance AI’s fashion-advertising experience or simply want to understand what your device will do if you enable it, here are practical steps and considerations:
- Decision point: Decide whether you want to opt in to Glance AI to access AI-generated lock-screen visuals and in-app shopping experiences. If you prefer not to participate, do not enable Glance AI, or disable the feature at a later time.
- Setup flow: When you opt in, you will be asked to provide consent for taking a selfie and sharing basic body-type information relevant to ads. This input will drive the AI-generated visuals that appear on your lock screen and within the Glance app.
- AI visuals on the lock screen: The lock screen will display AI-generated ads featuring you wearing outfits and visiting destinations aligned with your inferred preferences and contemporary fashion trends.
- Tap-to-buy functionality: Ads will support a one-tap purchasing flow, enabling direct purchases through Glance’s ecosystem and partner retailers. This is designed to provide a seamless path from discovery to checkout.
- Data handling awareness: Understand that location data and certain behavioral signals may be used to tailor ads and that some data may be shared with Glance’s partners. Your avatar’s biometric data has a defined retention window and deletion options.
- Privacy controls: Access privacy settings within the Glance app and Samsung’s device settings to manage opt-out preferences, data sharing rules, and AI functionality. If you are uneasy with the level of personalization, you can disable AI features, restrict data sharing, or uninstall Glance entirely.
- Data deletion and retention: If you decide to terminate your participation, you can delete your Glance account and all stored biometric data. Confirm the deletion process and understand the timeframes for removing data from backups and live storage.
- Regional considerations: Be aware that privacy regulations vary by region. Depending on your locale, there may be additional protections, restrictions, or requirements related to biometric data and targeted advertising.
For users who opt in, it is advisable to periodically review privacy settings and ad preferences. Keeping an eye on what data is shared with partners and how long biometric data remains stored helps maintain informed consent over time. If you encounter unexpected behavior—such as unusually frequent AI-generated visuals, or if the lock-screen experience becomes disruptive—it is reasonable to pause or pause and reassess participation by turning off Glance AI or uninstalling the app.
Implications for Advertisers and the Advertising Ecosystem
The Glance AI initiative effectively expands the advertising surface to the lock screen, offering advertisers a highly visible and contextually relevant platform to present fashion-forward content. The ability to generate visuals that feature users’ likenesses in outfits aligned with their inferred style profiles can lead to improved engagement metrics and potentially higher conversion rates. The one-tap purchase capability further reduces friction in the customer journey, moving from impression to transaction in a compact sequence that is well-suited for mobile users.
However, this advertising approach must navigate user consent and privacy considerations. The potential for consumer discomfort over AI-generated avatars featuring one’s likeness on the lock screen requires robust consent mechanisms and clear, accessible controls. Advertisers will also need to consider fatigue effects—overexposing users to highly personalized visuals may lead to opt-outs or negative sentiment if the experience is perceived as intrusive. The long-term success of AI-driven lock-screen advertising will depend on delivering a balanced experience that respects user preferences, maintains trust, and provides transparent governance around data usage.
From a business perspective, Glance and Samsung are testing a monetization model that ties ad impressions and user interactions to purchase activity. The economic viability of the approach will hinge on several factors, including the accuracy of personalization, the relevance of supplied outfits, the ability to maintain a privacy-compliant data workflow, and the capacity to scale the service across diverse device configurations and regions. As device manufacturers continue to explore new ways to integrate advertising within native experiences, the Glance-Samsung collaboration could influence future partnerships and product roadmaps across the Android ecosystem, with potential implications for how lock screens and other device surfaces evolve to support AI-powered content and commerce.
Conclusion
The Samsung-Glance collaboration to deliver AI-generated, selfie-based fashion ads on lock screens marks a notable milestone in the ongoing integration of AI into everyday mobile experiences. By combining opt-in participation with a dual-delivery model—standalone Glance AI app and integrated lock-screen functionality—the initiative pushes the boundaries of personalized advertising, offering a new pathway for brands and retailers to engage with consumers at a highly engaged moment: the moment when users unlock their phones. The approach relies on sophisticated AI models to render visuals tied to a user’s likeness, coupled with a policy framework that aims to protect biometric data and enable user control through opt-out options and data deletion facilities.
As the rollout continues across Galaxy devices and expands to additional models within the next 30 days, users have the opportunity to engage with personalized fashion content in a manner consistent with their consent and privacy preferences. The broader market context—where AI-based shopping experiences are increasingly prominent—will likely shape how this technology evolves, including how privacy protections, transparency, and user-centered controls adapt to generative AI’s expanding role in consumer commerce. For now, the key takeaway is clear: participation is voluntary, and users who opt in should expect a personalized, AI-driven shopping assistant to appear on their lock screen, with convenient pathways to explore and purchase outfits while maintaining ongoing control over their data and preferences.
