Workflow
AIAgent深度(二):2025Agent元年,AI从L2向L3发展
Soochow Securities·2025-05-04 15:05

Core Insights - 2025 is expected to be the year of the Agent, marking the evolution of AI from L2 (Reasoner) to L3 (Agent), indicating a shift from "thinking" to "acting" driven by technological maturity, product benchmarks, protocol standardization, and market demand [2][3][39] - The importance of Agents lies in their potential for deep automation, serving as a pathway to AGI, and reshaping internet entry points, with competition for universal Agents expected to intensify in the second half of 2025 [2][3][48] - The competitive landscape for Agents is characterized by major tech giants dominating the general Agent ecosystem while vertical opportunities remain for niche players with deep domain knowledge [2][3][61] Why 2025 is the Year of the Agent - The transition from L2 to L3 is driven by technological advancements, including powerful multimodal foundational models and mature reinforcement learning methods [6][9][17] - Key products from industry leaders like OpenAI and Google validate the feasibility of Agents, transitioning from concept to mature product stages [18][20] - Market demand is shifting from simple applications to complex task automation, with businesses seeking AI solutions that can deliver measurable results [39][40] Importance of Agents - Agents enable deep automation, allowing for the execution of complex, multi-step tasks that traditional automation cannot handle [49][55] - They represent a significant leap in efficiency, freeing human workers from repetitive tasks and allowing them to focus on higher-value activities [53][54] - The emergence of Agents is expected to challenge traditional search engines and reshape how users access information and complete tasks [61][65] Competitive Landscape - Major tech platforms are expected to lead the development of general Agents, leveraging their advantages in models, data, and ecosystems [2][3][61] - Vertical Agents that possess deep domain knowledge and clear business models are likely to see short-term growth potential before facing competition from general Agents [2][3][61] Investment Recommendations - 2025 is identified as a critical window for investing in the Agent space, with a focus on foundational models, reinforcement learning, and the reliability of tool invocation [2][4] - Long-term investments should target major tech platforms with robust foundational models and ecosystems, as they are poised to benefit most from the Agent era [2][4] - Attention should also be given to vertical leaders that have established domain expertise and customer bases before the full maturity of general Agent capabilities [2][4]