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AI Agent, the next stop for large model implementation.
AI Agent is an intelligent agent that can perceive the environment, autonomously plan, make decisions, and execute actions to achieve goals, possessing essential characteristics such as autonomy, interactivity, reactivity, and adaptability, with large language models as its core driving force. With breakthroughs in underlying technologies powered by large models, we are seeing AI Agents gradually implemented in focused vertical + multiple agent collaborative application scenarios. According to market.us, the Global large model market size is expected to grow from 4.5 billion dollars in 2023 to 82.1 billion dollars by 2033, with a 10-year CAGR of 33.7%. We are Bullish about the future development trend of AI Agents and the investment opportunities brought by changes in the upstream and downstream Industry Chain.
We Think Automatic Data Processing (NASDAQ:ADP) Can Stay On Top Of Its Debt
Hardware VS Software! A fierce battle for positions is unfolding in the AI sector of the US stock market. Who will dominate in 2025?
Regarding the upcoming year 2025, how to choose AI Hardware and AI Software has become the focus of investors' attention.
AI applications are accelerating penetration, and the stocks of Microsoft, ServiceNow, and other software companies continue to rise.
Stifel indicates that Microsoft and some Software companies are expected to continue their growth through AI monetization by 2025.
ADP to Announce Second Quarter Fiscal 2025 Financial Results on January 29, 2025
Behind the "monthly salary over ten thousand": What are the "AI agents" that tech giants are competing to launch?
① OpenAI is open to launching a subscription service priced at "2000 dollars/month" and mentioned that in the future, it may charge enterprise users based on the value they gain from using AI; ② At the application level, "AI agents" are viewed as the products with the most straightforward commercialization logic due to their ability to "replace workers"; ③ Even though AI agents are still in the early stages, workers need to start thinking about where their future lies.