Beijing Career International CTO Liu Zhi: 2025 Marks the First Year of AI Agent Implementation, Task Completion Rate is Key Metric

Deep News
01/15

Liu Zhi, Chief Technology Officer of Beijing Career International Co.,Ltd., stated that 2025 is the inaugural year for AI Agents and summarized seven key metrics for Agent development, prioritized as follows: task completion rate, human-machine collaboration, accuracy, repeatability, cost, speed, and security. He pointed out, "Technical solutions for most of these seven issues already exist, with approaches converging and models continuously iterating." However, the real challenge lies in "accurately gauging the current limits and future trends of these capabilities, and integrating them into products that deliver an excellent user experience."

Regarding the application of Agents in the human resources vertical, Liu Zhi proposed: "Vertical Agents run counter to the technological development direction of AGI (Artificial General Intelligence). Furthermore, the HR industry features fragmented scenarios and prominent personalized demands, making excessive verticalization a suboptimal solution." He emphasized that Beijing Career International's strategy is to first build universal foundational capabilities, then achieve breakthroughs in one or two core scenarios, prioritizing the core attributes of the Agent before focusing on deep cultivation within industry-specific contexts.

Addressing the question of "Whether HR will be replaced by Agents," Liu Zhi admitted, "Given the current exponential pace of technological development, it's truly hard to imagine the landscape in another 3-5 years; the human resources industry will most likely be reshaped." He further analyzed that verifiable tasks like attendance accounting and repetitive labor such as initial candidate screening are most susceptible to AI replacement. Conversely, work requiring human warmth and interaction, such as product strategy discussions and in-depth candidate communication, remains difficult to replace.

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