The forthcoming iteration of Apple’s mobile operating system, iOS 18, is anticipated to incorporate advanced artificial intelligence functionalities. These additions are expected to enhance user experience through intelligent automation and contextual awareness across various applications and system-level processes. Examples might include improved Siri capabilities, enhanced photo and video editing tools, and proactive suggestions based on user habits.
The incorporation of advanced intelligence in mobile platforms signifies a significant shift in how users interact with their devices. Benefits of such integration encompass increased efficiency, personalized experiences, and streamlined workflows. Historically, Apple has incrementally introduced machine learning capabilities within iOS; however, iOS 18 represents a potentially more substantial leap in leveraging AI to create a more intuitive and adaptive ecosystem.
The following sections will explore specific areas where these intelligent advancements are likely to manifest, detailing the potential impact on core iOS functionalities and user workflows. This includes an examination of potential improvements to communication, productivity, and media management tools within the updated operating system.
1. Enhanced Siri capabilities
Enhanced Siri capabilities represent a crucial component within the broader context of the forthcoming Apple iOS 18 AI features. The anticipated advancements in Siri functionality are directly attributable to the integration of more sophisticated artificial intelligence algorithms. Improved natural language processing (NLP), a key area of AI development, allows Siri to better understand user intent, contextualize requests, and generate more accurate and relevant responses. For example, a user might be able to ask Siri to “summarize my emails from yesterday pertaining to the Smith project,” and the system, powered by these enhancements, would be able to accurately parse the complex request and deliver the appropriate summary. Thus, enhanced Siri capabilities are a direct effect of the overarching implementation of AI within iOS 18, and a key cause for a more intuitive user experience.
The practical significance of an improved Siri extends beyond simple question answering. It encompasses enhanced device control, proactive assistance, and seamless integration with other applications. Imagine a scenario where Siri automatically adjusts smart home settings based on the user’s location and schedule, or proactively reminds the user of upcoming appointments and suggests optimal routes. These functionalities, made possible by the core AI improvements, represent a significant step towards a more personalized and intelligent mobile ecosystem. Furthermore, it directly competes with other virtual assistants in the market pushing the boundaries of device interaction.
In summary, the incorporation of enhanced Siri within iOS 18 serves as a practical demonstration of the potential of AI in mobile operating systems. The resulting enhancements promise to elevate user interaction through more effective device control, personalized insights, and proactive assistance. Challenges remain in areas such as data privacy and maintaining accuracy across diverse user dialects; however, the direction of development clearly points towards an increasingly intelligent and adaptive mobile computing environment. The performance and reception of these features will significantly impact user perception of the overall iOS 18 update.
2. Improved photo recognition
Improved photo recognition stands as a core component within the broader scope of Apple iOS 18 AI features. This enhancement directly leverages advancements in machine learning algorithms to provide more accurate and nuanced image analysis. This represents a shift from basic object detection to a system capable of understanding complex scenes, identifying subtle contextual elements, and accurately classifying a wider range of subjects within a photograph. As a result, users could experience improved search functionality within their photo libraries, enabling searches based on specific objects, locations identified by landmarks, or even emotional tones inferred from the image content. The functionality derives its advancements from the AI integration, becoming a direct result of Apple’s commitment to improve AI features to the system.
The practical applications of improved photo recognition extend beyond simple image organization. Consider, for instance, the ability of the system to automatically generate personalized slideshows based on identified themes or events, or to suggest relevant editing adjustments based on the image’s content. Furthermore, integration with other applications could allow for seamless sharing of images with pre-populated captions or hashtags, reducing user effort and enhancing content discoverability. In the sphere of accessibility, the system could provide detailed audio descriptions of images for visually impaired users, further expanding the utility of the technology. Moreover, the improved photo recognition is a key component, cause and effect, of the new iOS update as it promotes ease of use and overall customer statisfaction.
In conclusion, improved photo recognition within iOS 18 represents a tangible manifestation of the advancements in AI technology. Its integration contributes significantly to the overall user experience by streamlining photo management, enhancing content creation, and improving accessibility. Challenges remain in refining the accuracy of the algorithms and addressing potential privacy concerns related to image data processing. However, the overall trend points toward an increasingly intelligent and intuitive photo management system driven by AI-powered analysis. The refinement of such feature helps keep Apple competitive in the Tech market and increase brand loyalty.
3. Contextual app suggestions
Contextual app suggestions, as anticipated within Apple iOS 18 AI features, represent a proactive approach to mobile device interaction. The functionality aims to anticipate user needs by intelligently recommending relevant applications based on various contextual cues.
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Location-Based Suggestions
This facet leverages geolocation data to suggest apps pertinent to the user’s current location. For instance, upon arrival at an airport, the system might suggest flight tracking or ride-sharing applications. The integration of this feature within iOS 18’s AI framework allows the operating system to dynamically adapt to the user’s environment, thereby streamlining access to relevant tools and services.
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Time-Dependent Recommendations
This involves the system learning user routines and suggesting apps based on the time of day. During the morning commute, podcast or news applications might be recommended, while in the evening, streaming services or relaxation apps could be suggested. This time-aware intelligence demonstrates the AI’s ability to understand and respond to the cyclical nature of user activities.
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Activity-Driven Proposals
This aspect uses sensor data and usage patterns to identify the user’s current activity and suggest relevant apps. For example, while exercising, music streaming or fitness tracking apps might be suggested. The AI algorithm analyzes patterns to identify these activities and improve suggestions over time, minimizing user interaction and maximizing efficiency.
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Social Context Integration
This facet analyzes communication patterns and social interactions to suggest relevant applications. For example, if a user frequently shares articles from a specific news app with a particular contact, the system might suggest that app when the user initiates a conversation with that contact. It displays the AI’s capacity to grasp social nuances and enhance communication through relevant app suggestions.
Collectively, these facets illustrate how contextual app suggestions contribute to a more intelligent and adaptive mobile experience within iOS 18. By leveraging a range of contextual signals, the system aims to reduce user friction and provide timely access to the most relevant applications, thereby enhancing overall device utility. The success of this feature will hinge on the accuracy of the AI algorithms and the seamless integration with the user’s daily routines, furthering the overarching theme of an intelligent and user-centric operating system.
4. Advanced text prediction
Advanced text prediction represents a significant component of the anticipated Apple iOS 18 AI features. Its integration reflects an ongoing effort to enhance user efficiency and streamline communication within the mobile ecosystem. The following details specific facets of this functionality and their respective implications within the iOS framework.
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Contextual Understanding
Contextual understanding, as applied to advanced text prediction, utilizes AI to analyze the preceding text and the overall conversation context to generate more accurate and relevant suggestions. Unlike basic predictive text that relies solely on frequently used words, this functionality anticipates the user’s intended message by considering grammatical structure, semantic relationships, and even the subject matter of the communication. For example, in a message about a business meeting, the system might suggest terms related to project management or financial analysis. The integration of contextual understanding demonstrates a more sophisticated application of AI within iOS 18.
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Personalized Learning
Personalized learning involves the system adapting to the individual user’s writing style, vocabulary, and communication patterns. This adaptation occurs through continuous analysis of the user’s input, allowing the AI to refine its predictive capabilities over time. For instance, if a user frequently employs specific abbreviations or slang terms, the system will learn to recognize and suggest them accordingly. This personalized approach enhances the efficiency of text input and contributes to a more tailored user experience within iOS 18.
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Multilingual Support
Multilingual support extends the functionality of advanced text prediction to encompass multiple languages. The system can automatically detect the language being used and provide suggestions accordingly, even within the same conversation. This functionality is particularly beneficial for users who communicate in multiple languages regularly. Its inclusion in iOS 18 reflects a commitment to providing a globally accessible and user-friendly mobile experience.
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Error Correction and Autocompletion
Error correction and autocompletion leverage AI to identify and correct spelling errors in real-time, as well as to automatically complete words and phrases as the user types. The system utilizes statistical models and machine learning algorithms to predict the most likely correct spelling or completion based on the user’s input and the surrounding context. This significantly reduces the effort required for text input and minimizes the likelihood of typos, further enhancing the user experience in iOS 18.
These facets collectively demonstrate the comprehensive integration of AI into the advanced text prediction functionality within iOS 18. By leveraging contextual understanding, personalized learning, multilingual support, and error correction, the system aims to provide a more efficient, accurate, and user-friendly text input experience. The success of this feature will contribute significantly to the overall perception of iOS 18 as an intelligent and adaptive mobile operating system.
5. Personalized user experience
The personalized user experience is a core objective driving the integration of artificial intelligence within Apple iOS 18 features. AI algorithms analyze user behavior, preferences, and usage patterns to tailor various aspects of the operating system to individual needs. This customization extends beyond mere aesthetic modifications, encompassing functional adaptations that aim to enhance efficiency and accessibility. The anticipated AI features directly contribute to this personalized experience, creating a mobile ecosystem that responds intelligently to the specific requirements of each user.
A tangible example of this connection can be observed in the enhanced customization of notification management. The operating system could leverage AI to prioritize notifications based on user engagement and context, filtering out less relevant alerts and ensuring that important information receives immediate attention. Similarly, the system could adapt the user interface layout based on usage patterns, placing frequently accessed applications and functions in more prominent locations. This level of personalization goes beyond simple user preferences, creating a mobile device that evolves in tandem with individual usage habits, providing an individualized response, based in the integration of AI.
In summary, the relationship between the personalized user experience and AI features within iOS 18 is inherently symbiotic. The latter serves as the engine driving the former, enabling the operating system to adapt and respond to individual needs in a dynamic and intelligent manner. The success of this integration hinges on Apple’s ability to balance the benefits of personalization with privacy considerations, ensuring that user data is handled responsibly and ethically. Therefore, in order to establish a beneficial user experience within iOS 18, AI must be constantly optimized and regulated as well as maintained.
6. Automated task management
Automated task management, as anticipated within the framework of Apple iOS 18 AI features, represents a significant advancement in proactive device assistance. The integration of artificial intelligence aims to streamline user workflows by automating repetitive actions and intelligently managing schedules, thereby optimizing device utility.
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Intelligent Scheduling
Intelligent scheduling involves the system automatically adding appointments and tasks to the user’s calendar based on email content, message exchanges, or other forms of communication. For instance, if a user receives an email confirming a meeting time and location, the system could automatically create a calendar event with the relevant details. This automation reduces the manual effort required to manage schedules and ensures that important events are not overlooked. Within the iOS 18 AI features, this functionality relies on natural language processing to accurately parse information from various sources and integrate it seamlessly into the user’s schedule.
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Smart Reminders
Smart reminders utilize AI to provide timely and relevant reminders based on location, context, and user activity. The system could, for example, remind a user to pick up groceries when they are near the grocery store or remind them to call a client shortly before a scheduled meeting. These reminders are not simply based on preset times but rather adapt to the user’s current circumstances, providing assistance when it is most needed. The iOS 18 AI integration enables the system to learn user patterns and provide increasingly accurate and helpful reminders over time.
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Context-Aware Automation
Context-aware automation allows the system to automatically trigger specific actions based on predefined conditions. A user could set up an automation to silence notifications when they arrive at work or to turn on the lights when they return home. These automations, powered by AI, are designed to simplify daily routines and provide a more seamless user experience. Within the iOS 18 AI features, this functionality relies on sensor data and machine learning algorithms to accurately identify the user’s context and trigger the appropriate actions.
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Predictive Task Suggestions
Predictive task suggestions involve the system proactively suggesting tasks based on past behavior and anticipated needs. If a user typically starts working on a specific project on Mondays, the system could suggest opening the relevant files and applications at the start of the work week. These suggestions are not random but rather informed by the user’s historical usage patterns. The iOS 18 AI integration enables the system to learn these patterns and provide increasingly relevant and helpful task suggestions, thereby enhancing user productivity.
Collectively, these facets of automated task management contribute to a more intelligent and user-friendly mobile experience within iOS 18. By automating repetitive actions, providing timely reminders, and suggesting relevant tasks, the system aims to streamline workflows and enhance user productivity. The success of this integration will depend on the accuracy of the AI algorithms and the seamless integration with the user’s daily routines, ultimately contributing to a more efficient and adaptive mobile operating system.
7. Optimized battery usage
Optimized battery usage, a perennial concern for mobile device users, is expected to be significantly addressed through the incorporation of advanced artificial intelligence features in Apple iOS 18. The operating system’s ability to intelligently manage power consumption directly influences user satisfaction and device longevity. The AI-driven improvements in battery optimization represent a key aspect of the broader advancements anticipated in the forthcoming iOS update, offering a pathway to improved efficiency and extended device operation.
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Adaptive Power Management
Adaptive power management involves the AI analyzing user application usage patterns and dynamically adjusting resource allocation to prioritize battery life. For instance, if the system detects that a user infrequently uses a particular application, it might restrict its background activity or reduce its refresh rate. This adaptive approach contrasts with static power management schemes, which apply uniform restrictions across all applications, regardless of user behavior. This facet of iOS 18’s AI features seeks to provide a more nuanced and effective strategy for extending battery endurance.
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Intelligent Background Activity Throttling
Intelligent background activity throttling leverages AI to identify and curtail unnecessary background processes that contribute to battery drain. The system analyzes application behavior to determine which background activities are essential and which are superfluous. For example, the system might limit the frequency with which social media applications refresh their feeds in the background if the user is not actively engaging with them. This intelligent throttling mechanism aims to minimize power consumption without compromising essential functionality. As result, users are expected to experience prolonged battery life.
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Predictive Battery Consumption Analysis
Predictive battery consumption analysis employs AI to forecast the user’s anticipated battery usage based on historical data and current device settings. This analysis allows the system to provide proactive alerts and recommendations to the user regarding power-saving measures. For example, if the system anticipates that the device will run out of battery before the end of the day, it might suggest enabling low power mode or adjusting display brightness. This predictive capability empowers users to make informed decisions about their device usage and optimize battery life accordingly.
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Application-Specific Power Optimization
Application-specific power optimization involves the AI tailoring power management settings on a per-application basis to minimize battery consumption. The system analyzes the power requirements of each application and adjusts resource allocation to optimize efficiency. For example, the system might reduce the processing power allocated to graphically intensive games when the device’s battery level is low, preserving the essential functionality of the application while extending battery life. This granular approach to power optimization provides a customized experience tailored to the unique demands of each application.
These facets collectively illustrate how the integration of AI within iOS 18 aims to address the persistent challenge of battery drain. By employing adaptive power management, intelligent background activity throttling, predictive battery consumption analysis, and application-specific power optimization, the system seeks to maximize battery life while minimizing the impact on user experience. The effectiveness of these features will contribute significantly to the overall perception of iOS 18 as an intelligent and user-centric mobile operating system. The integration of these features will improve the over user experience as well as increase cost effectiveness and overall satisfaction.
8. Proactive system alerts
Proactive system alerts, as anticipated within the scope of Apple iOS 18 AI features, represent a shift from reactive notifications to preemptive warnings and recommendations. The functionality seeks to anticipate potential issues and proactively inform the user, thereby minimizing disruptions and enhancing device reliability. The integration of artificial intelligence enables the system to analyze various data points and provide timely alerts based on predicted events or anomalous behavior, which improves the over all user experience as well as ease of mind.
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Predictive Maintenance Reminders
Predictive maintenance reminders utilize AI to analyze device performance data and anticipate potential hardware or software issues. For example, if the system detects that the device’s storage is nearing capacity, it might proactively alert the user and suggest clearing unnecessary files or offloading data to the cloud. Similarly, if the system identifies a potential battery issue based on charging patterns or temperature readings, it might recommend scheduling a battery health check. These alerts, based on AI analysis, allows users to address potential problems before they escalate and disrupt device functionality. If the predictive system is well maintained, it will continue to add to the benefits of iOS 18
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Security Threat Warnings
Security threat warnings leverage AI to identify and alert users to potential security risks. The system analyzes application behavior, network activity, and system settings to detect anomalies that might indicate a malware infection, phishing attempt, or unauthorized access. For example, if the system detects that an application is requesting unusual permissions or accessing sensitive data without authorization, it might proactively warn the user and suggest taking action to mitigate the threat. These timely alerts, driven by AI-powered threat detection, help users protect their data and maintain the security of their devices, therefore increasing user confidence.
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Resource Optimization Suggestions
Resource optimization suggestions employ AI to analyze device resource usage and provide recommendations for improving performance and efficiency. For example, if the system detects that an application is consuming excessive processing power or memory, it might suggest closing the application or adjusting its settings. Similarly, if the system identifies settings that are contributing to battery drain or data consumption, it might recommend optimizing those settings to conserve resources. This AI driven suggestions empower users to take control of their device resources and improve overall performance.
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Context-Aware Emergency Alerts
Context-aware emergency alerts leverage AI to provide timely and relevant warnings about potential emergencies based on the user’s location and context. The system integrates data from weather services, news sources, and emergency response agencies to identify potential threats, such as severe weather events, natural disasters, or public safety incidents. For example, if the system detects that the user is located in an area that is under a tornado warning, it might proactively alert the user and provide instructions for seeking shelter. These alerts, powered by AI-driven situational awareness, help users stay safe and informed during critical situations. Therefore it provides ease of mind as well as keeps the user protected.
These facets collectively illustrate how proactive system alerts, powered by AI, aim to enhance the user experience within iOS 18 by anticipating potential issues and providing timely warnings and recommendations. By leveraging predictive maintenance reminders, security threat warnings, resource optimization suggestions, and context-aware emergency alerts, the system seeks to minimize disruptions, protect user data, and improve overall device reliability. The effectiveness of these features will depend on the accuracy of the AI algorithms and the seamless integration with the user’s daily routines, ultimately contributing to a more secure, efficient, and user-friendly mobile operating system. Through it’s security implementations as well as useful implementations, it creates an improved user experience as well as allows ease of mind to the user as they operate their day-to-day operations.
Frequently Asked Questions Regarding Apple iOS 18 AI Features
This section addresses common inquiries concerning the integration of artificial intelligence within the upcoming iOS 18 release. It aims to provide clarity on anticipated functionalities and their potential impact on the user experience.
Question 1: To what extent will AI functionalities be integrated into the core iOS 18 system?
AI functionalities are expected to be deeply integrated throughout the core iOS 18 system. This includes, but is not limited to, areas such as Siri, photo management, text input, and system resource management. The objective is to provide a seamless and intelligent user experience across various applications and services.
Question 2: What measures are being implemented to ensure user data privacy with the increased use of AI?
Apple is committed to maintaining stringent data privacy standards. AI processing is expected to occur primarily on-device, minimizing the transmission of personal data to external servers. Furthermore, users will retain control over data sharing permissions and will be provided with clear transparency regarding how AI algorithms utilize their information.
Question 3: Will existing iOS devices be compatible with all the AI features introduced in iOS 18?
Compatibility will vary depending on the hardware capabilities of each device. Older devices with less powerful processors may not be able to support all the advanced AI functionalities introduced in iOS 18. Specific device compatibility details will be released closer to the official launch date.
Question 4: How will the AI-driven battery optimization features in iOS 18 function?
The AI-driven battery optimization features will analyze user usage patterns and intelligently adjust power consumption to maximize battery life. This includes adaptive power management, intelligent background activity throttling, and application-specific power optimization. The system will continuously learn and adapt to the user’s behavior to provide the most efficient battery management possible.
Question 5: What level of customization will users have over the AI-powered contextual app suggestions?
Users are expected to have a degree of control over the contextual app suggestions, including the ability to disable the feature entirely or customize the criteria used for generating suggestions. This customization ensures that the AI integration aligns with individual user preferences and avoids unwanted recommendations.
Question 6: How will the enhanced Siri capabilities in iOS 18 differ from previous versions?
The enhanced Siri capabilities are expected to encompass improved natural language processing, contextual understanding, and personalized learning. This will allow Siri to better understand user intent, generate more accurate responses, and adapt to individual communication styles. Furthermore, Siri’s integration with other applications and services is anticipated to be more seamless and intuitive.
The key takeaway is that the integration of AI into iOS 18 is intended to provide a more intelligent, efficient, and personalized mobile experience, while maintaining a strong emphasis on user data privacy and control.
The following section will explore the potential long-term implications of these advancements on the future of mobile computing.
Navigating Apple iOS 18 AI Features
This section offers guidance for effectively leveraging the capabilities within the forthcoming Apple iOS 18, specifically focusing on the integration of artificial intelligence. Understanding these considerations can optimize device usage and enhance the user experience.
Tip 1: Familiarize with Privacy Controls: The enhanced AI features will likely require access to user data. Thoroughly review and customize privacy settings to manage the information shared with the system. Pay close attention to location services, contact access, and data usage permissions for individual applications.
Tip 2: Optimize Battery Management Settings: While the AI aims to improve battery life, monitoring power consumption remains crucial. Utilize the battery health monitoring tools and adjust settings to limit background activity for power-intensive applications. Understanding the impact of individual AI features on battery drain enables proactive management.
Tip 3: Explore Accessibility Options: The AI-powered accessibility features, such as enhanced voice control and image recognition, can significantly benefit users with disabilities. Investigate and customize these options to tailor the device to specific needs and maximize its usability.
Tip 4: Understand Contextual App Suggestions: The system’s ability to suggest applications based on context can streamline workflows. Observe the patterns and adjust the settings if the suggestions become irrelevant or intrusive. Evaluate the utility of each suggestion to refine the AI’s learning process.
Tip 5: Leverage Advanced Text Prediction: The enhanced text prediction should improve communication efficiency. Analyze its suggestions and integrate custom vocabulary to personalize the experience. Monitor and correct any errors to refine the AI’s learning and optimize its accuracy.
Tip 6: Stay Updated on Feature Updates: AI functionality will be constantly updated and improved through future iOS releases. Review Apple’s release notes regularly to understand new features, bug fixes, and security updates relevant to the iOS 18’s intelligence functionalities.
By adhering to these tips, users can effectively navigate the landscape of iOS 18’s features, ensuring a more personalized, efficient, and secure mobile experience. Proper management and understanding of integrated functions is key to overall consumer benefit.
The subsequent section will summarize the potential long-term impacts of AI integration on the iOS ecosystem and the broader mobile technology landscape.
Conclusion
The integration of artificial intelligence into Apple iOS 18 represents a significant evolution in mobile operating systems. The examination of anticipated functionalities, including enhanced Siri capabilities, improved photo recognition, contextual app suggestions, advanced text prediction, personalized user experiences, automated task management, optimized battery usage, and proactive system alerts, reveals a comprehensive effort to create a more intelligent and adaptive mobile ecosystem. The success of this integration hinges on factors such as data privacy, algorithm accuracy, and seamless integration with user routines. The integration of AI creates numerous benefits as well as improvements of current capabilities.
The long-term implications of this shift towards AI-driven mobile computing extend beyond individual user experience. The widespread adoption of such technologies could reshape how individuals interact with their devices, manage their daily lives, and access information. The developments within Apple iOS 18 will likely influence the trajectory of mobile technology and set a new standard for intelligent device functionality. Continuous monitoring and analysis of the efficacy and ethical considerations surrounding these advancements are essential for ensuring responsible innovation and maximizing the benefits for all users.
