Core Viewpoint - The article discusses the challenges faced by input method applications in the era of AI, highlighting user frustrations with accuracy and excessive advertisements, despite significant investments from major tech companies in enhancing these tools [2][4][14]. Group 1: User Experience Issues - Users are increasingly dissatisfied with input methods, reporting issues such as inaccurate word predictions and excessive advertisements, which detract from the overall user experience [2][4]. - A specific case is mentioned where a long-time user of Sogou Input Method uninstalled the app due to frequent incorrect suggestions, indicating a decline in basic functionality despite advanced AI features [4]. - Complaints about the voice recognition capabilities of input methods have also surfaced, with users noting that corrections often take longer than typing the text directly [4]. Group 2: AI Integration and Competition - Major input method providers, including Sogou, Baidu, and iFlytek, are engaged in a competitive race to integrate advanced AI capabilities into their products, aiming to enhance user experience and functionality [2][8][9]. - The input method market is characterized by a concentrated structure, with leading companies holding a combined market share of 84.4% as of July 2025, indicating a competitive landscape [8]. - Input methods are evolving from simple typing tools to becoming the primary interface for AI interactions, with companies aiming to position their products as essential gateways to AI capabilities [9][10]. Group 3: Commercialization and Privacy Concerns - Input methods face challenges in monetization, struggling with a "high traffic, low value" dilemma, which complicates their ability to generate revenue despite having a large user base [15][16]. - Privacy concerns are paramount, as input methods have been criticized for collecting unnecessary personal information, leading to regulatory scrutiny and the need for companies to adapt their data collection practices [16]. - Companies are implementing features that allow users to choose between different modes of data collection, balancing functionality with privacy protection [16]. Group 4: Future Directions - The future of input methods is seen as a shift towards becoming intelligent agents that can understand user intent and context, moving beyond basic text input to more complex interactions [12]. - Companies are exploring multi-modal input methods that incorporate voice, text, and images, which require sophisticated algorithms and technology to manage effectively [17].

Core Insights - The article discusses the challenges faced by input method applications, particularly focusing on Sogou Input Method, as it approaches its 20th anniversary in 2026. Despite advancements in AI capabilities, user experience has deteriorated, leading to complaints about inefficiency and inaccuracies in word prediction and voice recognition [2][3][5]. User Experience Issues - Users express frustration over the declining accuracy of input methods, with complaints about incorrect word suggestions and excessive advertisements disrupting their experience [3][5][6]. - A long-time user of Sogou Input Method reported issues with common character suggestions, indicating a failure to learn user habits despite repeated corrections [4][5]. AI Integration and Competition - Major input method companies, including Tencent's Sogou, Baidu, and iFlytek, are engaged in a competitive race to integrate advanced AI features into their products, aiming to enhance user experience and functionality [3][9][10]. - The input method market is characterized by a concentrated structure, with leading companies holding a combined market share of 84.4% as of July 2025, indicating a fierce competition for user engagement and AI capabilities [9]. Future Development Goals - Sogou Input Method aims to evolve into a "super entrance" for AI, allowing users to interact with AI agents through the input method, which is seen as a key direction for future development [10][11]. - Baidu Input Method also seeks to position itself as a reliable smart entry point for user expression, leveraging AI to enhance communication and collaboration [11][12]. Commercialization Challenges - Input methods face a "high traffic, low value" monetization dilemma, struggling to effectively convert user engagement into revenue [16][17]. - Privacy concerns have led to increased scrutiny and regulatory challenges, prompting companies to adapt their data collection practices to ensure user safety and compliance [18][19]. Technological Limitations - Despite advancements in AI algorithms, challenges remain in accurately understanding user intent, particularly in word prediction, due to the variability in user language habits and the quality of training data [13][19]. - The complexity of multi-modal interactions, where users input data through various means, requires sophisticated algorithms and technology to ensure seamless processing [19].