Group 1 - The annual service minutes of Agora have surpassed 1 trillion for the first time, indicating that Real-Time Engagement (RTE) technology has become a critical infrastructure [1] - The proportion of high-definition video has increased over tenfold in the past two years, with over 80% of overseas market traffic being above 720p resolution, signaling a new wave of innovation in the real-time interaction industry [1] - Only 21% of users are satisfied with the current AI conversation experience, highlighting significant challenges in achieving human-like dialogue, including low latency response and emotional understanding [1] Group 2 - A survey by Deepgram and Opus Research shows that 67% of enterprises have positioned voice AI agents at the strategic core, with 84% planning to increase investments in the next year [2] - Agora's usage of conversational AI saw a 151% quarter-over-quarter growth by Q3 2025, reflecting strong market demand [2] - Agora has released the "2025 Conversational AI Development White Paper" and "Conversational AI Curiosity Handbook" to provide a systematic guide for the industry [2]

Core Insights - The 11th Real-time Internet Conference, themed "AI Voice," was held in Beijing, focusing on the integration of Real-time Interactive (RTE) technology and Conversational AI [1] - Agora's CEO announced that the company's annual service minutes have surpassed 1 trillion for the first time, indicating the critical infrastructure role of RTE technology [1] - The conference highlighted the rapid growth of video quality, with over 80% of overseas market traffic exceeding 720p resolution, and a significant increase in WebRTC global search interest [1] Industry Trends - The industry is experiencing a new wave of innovation, but challenges remain in transitioning from "connectivity" to "dialogue," particularly in human-AI interactions [1][3] - Only 21% of users are satisfied with current AI conversational experiences, with high user attrition rates due to the lack of non-verbal communication elements in AI interactions [3] - The emergence of multi-modal large language models (LLMs) is seen as a potential solution to enhance real-time voice dialogue capabilities [3] Market Opportunities - 67% of enterprises have positioned voice AI agents at the strategic core, with 84% planning to increase investments in the next year [4] - The conversational AI market is projected to grow significantly, with ARK Invest estimating the AI companionship sector could rise from $30 million to between $70 billion and $150 billion [4] - Key application areas for conversational AI include emotional companionship, smart hardware, and online education, with significant advancements demonstrated in AI customer service capabilities [4] Strategic Developments - Agora released the "2025 Conversational AI Development White Paper" and various tools to accelerate innovation in the RTE and AI sectors [5] - Microsoft’s CTO emphasized the importance of understanding technology's essence and aligning it with user needs for successful implementation [5] - The need for organizations to foster collaboration between humans and AI agents was highlighted, along with the importance of continuous learning and addressing data security and organizational culture [6][7] Globalization and Market Entry - The necessity for Chinese AI companies to undergo a "mental leap" for successful global expansion was discussed, emphasizing trust as a new competitive barrier [8] - Key opportunities in the AI market include agents, AI hardware, and foundational infrastructure, with a focus on niche markets for startups [8][9] - Strategies for entering global markets include localizing products and building trust with local partners, as well as understanding cultural nuances [9][10] Talent and Execution - Consensus among industry leaders indicates that talent for global expansion should possess entrepreneurial experience and cross-cultural adaptability [10] - Successful product globalization requires a combination of global technical value narratives and localized emotional expressions [10]