Core Insights - The article emphasizes the shift from traditional user interfaces to AI-driven interactions, suggesting that as AI becomes better at understanding user intent, the need for complex interfaces will diminish [3][11][12] - Felix Haas argues that entrepreneurs must adapt their application development strategies to leverage AI capabilities or risk missing opportunities [4][11] Evolution of User Interfaces - The history of user interfaces is described as a compromise between humans and machines, where each innovation has required humans to adapt to machine language rather than machines understanding human needs [5][6] - The physical era (1868-1980s) involved direct physical interactions with machines, while the graphical era (1980s-2007) introduced graphical user interfaces (GUIs) that still required users to learn a new visual language [6][7] - The touch era (2007-2020s) simplified interactions but led to a proliferation of unique application interfaces, increasing cognitive load on users [8][9] Current UI Challenges - Users face cognitive overload due to the need to remember multiple interface rules across numerous applications [9][10] - The complexity of software has increased, leading to a paradox where more powerful tools result in more complicated interfaces [10] - Contextual disconnection occurs as applications fail to understand user intent across different tasks, leading to inefficiencies [10][11] Zero UI Concept - The concept of Zero UI suggests that the best interface is one that is invisible, allowing users to focus on their tasks rather than the interface itself [12][13] - Three forms of Zero UI are identified: predictive interfaces that anticipate user needs, conversational interfaces that use natural language, and environmental interfaces that respond to context [13][14] Future of Interaction - The evolution of voice assistants illustrates the trend towards more natural interactions, moving from command-based to conversational exchanges [15][16] - The future of browsing and searching is predicted to shift towards dialogue-based interfaces, fundamentally changing how users interact with digital content [16][17] Hardware Revolution - The exploration of screenless devices, such as AI-driven products that rely on voice and environmental interactions, indicates a significant shift in hardware design philosophy [20][21] - Despite challenges faced by companies attempting to innovate in this space, the industry is collectively seeking solutions beyond traditional screen-based interfaces [21][22]

Core Viewpoint - Agora, Inc. is actively expanding into high-potential areas such as conversational AI, demonstrating significant revenue growth and profitability in its recent financial results [2][3]. Financial Performance - In Q1 2025, Agora, Inc. reported total revenue of $33.27 million, representing a year-over-year increase of 12.1%, with a notable acceleration from the previous quarter's growth of 3.6% [2]. - The company achieved a net profit of $410,000 under GAAP, marking its second consecutive quarter of profitability after returning to profit in Q4 2024 [2]. Cash Reserves - As of March 31, 2025, Agora, Inc. had cash and cash equivalents totaling $388 million, which supports its strategic investments in high-potential fields, particularly conversational AI [2]. Customer Base - As of March 31, 2025, Agora had 1,994 active customers, reflecting a year-over-year growth of 5.2% [4]. Product Innovation - Agora launched its conversational AI engine and development kit, enabling developers to create real-time voice interaction experiences with minimal coding requirements [6]. - The conversational AI engine can upgrade any text-based large model into a conversational multimodal model with just two lines of code and within 15 minutes, significantly lowering the development barrier [6]. User Experience - The conversational AI engine boasts a median voice interaction latency of just 650 ms, with an intelligent interruption feature that allows for natural conversation flow [8]. - It includes a "selective attention lock" feature that can filter out 95% of background noise, ensuring clear voice recognition [9]. Application Scenarios - The conversational AI capabilities are being applied across various sectors, including smart assistants, virtual companionship, language practice, and customer service [13]. - Specific use cases include educational tools that enhance real-time interaction for students and AI companions that provide emotional support [15][17]. Development Support - Agora has made its conversational AI development kit fully open-source, providing developers with comprehensive resources to integrate AI capabilities into their hardware [11]. - The development process is streamlined, allowing developers to create prototypes quickly and efficiently [11].

Investment Rating - The report does not explicitly state an investment rating for the industry Core Insights - AIGC applications in the To B market are becoming clearer, with consumer goods companies being the primary buyers of AIGC products and services, particularly in sectors like food and beverage, beauty, and automotive [10][11] - Mid to large-sized enterprises are the main purchasers of AIGC services, while small enterprises tend to use AIGC tools for individual efficiency rather than large-scale applications [10] - AIGC projects are primarily driven by business departments rather than IT departments, indicating a strong connection to actual business needs [11] - The text, image, and audio modalities of AIGC are relatively mature, while video and code modalities are still developing [12] Market Insights - AIGC is expected to transition from being an "auxiliary tool" to a "hit content creator" within 2-3 years, requiring breakthroughs in understanding consumer emotions, creativity, and market trends [17][18] - AIGC is revolutionizing consumer research by providing faster and more cost-effective insights compared to traditional methods, which are often slow and outdated [19][20][21] - A comprehensive solution combining AIGC with social media resources and effect monitoring is more attractive to enterprises than standalone content generation [22][24] AIGC Marketing Market - The AIGC marketing market faces challenges such as content homogenization, marketing perception, and compliance risks [28][32] - To address homogenization, AIGC tools must enhance their uniqueness and creativity to stand out in a crowded market [28][29] - Ensuring compliance is crucial, especially when targeting younger audiences, necessitating strict content review mechanisms [32] Case Studies - The collaboration between Fire Mountain Engine and the high-end infant formula brand, Meisujia, illustrates how AIGC can enhance interactive marketing and deepen emotional connections with consumers [33][34] - The use of the Magic Cube Pro platform by a leading food and beverage company demonstrates how digital tools can optimize consumer insights and improve marketing effectiveness [45][55] - Robopoet's partnership with Agora showcases how AI hardware can overcome technical challenges in voice interaction, enhancing user experience in AI companion products [62][63]