layout: newspaper
title: "Beyond Thinking Tools to Executing Agents: The Leap and Challenges of AI Agents"
permalink: /suneung-en
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**[Opinion] The Paradigm Shift in Artificial Intelligence: Civilizational Impacts of the 'Agent' Era**

The most prominent topic in the recent information technology (IT) industry is, without a doubt, the "AI Agent." While previous generative AI remained a "passive tool" that merely answered user questions or generated sentences, it is now evolving into an "active agent" that sets its own goals and completes complex tasks. This signifies more than just technical progress; it foretells a fundamental change in human work patterns and decision-making systems.

The core momentum of AI agents lies in the combination of "reasoning" and "the ability to utilize tools." While existing models focused on probabilistic generation—predicting the next word based on learned data—agent models set sub-tasks to solve given problems and directly invoke necessary external software or APIs to execute them. For instance, if a user gives a command such as "Plan a trip to Jeju Island for next week and book the flight and accommodation," the AI searches for real-time flights, combines them with lodging that fits the user's budget and preferences, and proceeds to the payment stage on its own. The essence of agent technology is to derive optimal results by correcting variables that occur during this process in real-time.

From an economic perspective, AI agents are expected to become the catalyst for a "productivity revolution." Corporations can deploy AI agents not only for simple repetitive tasks but also in areas requiring high-level judgment, such as data analysis, customer service, and logistics management. This perfectly aligns with the logic of capital: reducing labor costs and maximizing efficiency. This is also why global Big Tech companies are risking everything to preoccupy agent platforms following the hardware "chip war." The era where agents move beyond being "assistants" for daily life to becoming the "Operating System (OS)" of corporate operations is not far off.

However, behind this technological optimism lie sharp social and ethical questions. The first issue raised is the "locus of responsibility." When a decision made autonomously by an AI agent causes unexpected damage, does the responsibility lie with the developer, the user, or the algorithm itself? Furthermore, we cannot overlook the concern regarding "human cognitive devolution" that arises as agents take over human decision-making. The warning that humans, having delegated all judgments to machines, might lose the ability for independent thought is a core issue in the philosophy of technological criticism.

Ultimately, the success or failure of the AI agent era depends on the "balance of control." Technology should be a tool that expands human limits, not a master that replaces humans. We must possess "digital literacy" to critically verify the results derived by agents, and institutionally, we must promptly prepare legal guidelines to regulate the autonomous actions of AI.

If the non-literary passages of the CSAT are a mirror reflecting the times, the "AI Agent" is the most noteworthy mirror of this year. This is because it requires both logical thinking to understand technical principles and critical insight to analyze their impacts. Humanity now stands on an unfamiliar threshold of evolution from "Man the Toolmaker" (Homo Faber) to "Man with Agents." The power to cross this threshold will lie not in the latest technology itself, but in the human questions regarding which direction that technology should be led.

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### [오늘의 핵심 영단어]

1. **Autonomous** [ɔː│tάnəməs] (형용사): 자율적인, 자주적인
   - 예문: AI agents are capable of performing tasks in an **autonomous** manner.
2. **Catalyst** [ˈkætəlɪst] (명사): 촉매제, 기폭제
   - 예문: The new technology served as a **catalyst** for the productivity revolution.
3. **Devolution** [ˌdiːvəˈluːʃn] (명사): (권리·권한의) 이양, 퇴보(퇴화)
   - 예문: There are concerns about the cognitive **devolution** of humans in the AI era.
4. **Locus** [ˈloʊkəs] (명사): (특정 현상의) 위치, 장소, 소재
   - 예문: The **locus** of responsibility remains unclear when AI makes a mistake.
5. **Preoccupy** [priˈɑːkjupaɪ] (동사): 선점하다, (생각·마음을) 사로잡다
   - 예문: Global tech giants are striving to **preoccupy** the AI agent platform market.