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  • + ã
  • 2026.05.22() 16:05
м , ΰ
-ŷȸ, AI 46 'AI '
- 'ߡҰ' ӡ å ߰ ǥ й
  • Է : 2026. 05.22() 14:03
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[/CTN] = ֺ ŷȸ "̹ AI ϻȰ ǰ񽺿 AI žǴ Ȳ 屸 Ȳ ľϱ ̸, мϰ Ͽ å ߰ϴ AI ȯ ϱ ϰڴ" Ұ 庮 ϰڴٴ Ƿߴ. ŷȸ AI 忡 ϰ ִ ֿ ڵ ŷ¿ Ȳ мϱ , 21Ϻ 'AI ' ߴٰ .

̹ ŷ 87 1׿ ǽõ, ǰ߰ а ǰ Ȯƴ. 29 AI ߻ 17 ž ǰ 縦 46 ڷ, ȸ Ǵ Ұŷ θ ϰ 7 Һ ν 縦 Ͽ º μ ϰڴٴ ħ .

ó ü ° 簢븦 ϰ ȸ 뼺 شȭϷ õ ο ƴϴ. ̴ ó ÷ ȭ յΰ Ը 縦 ó η° ȭ ġ п ϸ Ϸ ߴ ġ ߽ Ѵ. Ұ μ 忡 â 'AI Ϸ å ߰'̶ õ 귣带 ߴµ, ̴ ܰ躰 ǥ μ Ͽ ŷ Źͽ ȿ Ȯ ڴٴ Ǯ̵ȴ.

׷ ٽ ϴ ̸鿡, ŸƮ '۷ι ũ ں ' ' ũ ' ܸ ǰ 縮 ִ. Ϻ ü ܱ ̳ ġ Ϻ ü谡 ´ ó, ̹ å '2ܰ ' ̺Ʈ ̴. ϴ ̳ ڽ и ä ó ߽Ű ܱ ̺Ʈ ƴٴ ϱ ƴ. ũ IT ݿ ִµ, Ȳǿ AI Ȱȭ ִ ȫϴ å籹 ӹ 帮 ó.

ڷ ħ ڷ 䱸 δ ߽ ۿ뿡 ؼ ö Աϰ ִ. ' м'̶ ȫ ܿ Ƚϰ 񽺿 ֵ ϴ ü ̵ ߴ. ܼ '46 ' ġ ' ߰'̶ ŸƲ ο 忡 ߻ ִ ʱ ߸ ̴. ֱ ġ ϰ, ü ɸ Ȳ ϰ 䱸 ִ ִ ' AI ü' ȭ ε Ǻη ִ ִ ġȡIT Ͽ ؾ ̴.

[ -AIȰ]
Ju Byung-ki, Chairperson of the Fair Trade Commission (FTC), declared, "This factual survey aims to preemptively grasp the market structure and competition status in a situation where AI is embedded in products and services closely related to daily life due to AI technology advancement. We will closely analyze the results, communicate with experts to publish a policy report within the year, and make continuous efforts to foster a fair competitive environment in the AI market," emphasizing his strong commitment to preemptively block unfair trade barriers in the industry. The FTC announced that it launched the 'AI Service Market Factual Survey' process from the 21st, targeting major domestic and foreign business operators participating in the domestic AI service market, to analyze and inspect transaction practices and competition situations.

This survey was conducted in accordance with Article 87, Paragraph 1 of the Monopoly Regulation and Fair Trade Act, and the final targets were confirmed through opinion convergence from the industry and experts including academia. The targets of the inspection were a total of 46 business operators, including 29 AI service developers and 17 embedded product providers. The commission intends to demonstrate an administrative posture by activating sustainable ecological restoration processes, such as investigating the existence of competition restrictions or unfair trade experiences and linking a consumer awareness survey this coming July.

The attempt by a government branch or local government-affiliated institution to mobilize public infrastructures to diagnose blind spots in the digital ecosystem and maximize the social utility of public data is not a new phenomenon. It aligns with the historical pattern of performance-centered administration, where government agencies exposed available department personnel and brilliant survey statistics all at once to the media right before large-scale factual surveys to prove visible administrative achievements. The FTC also encouraged public officials in its subordinate departments to open an omnibus survey counter in the market, building a refined brand called 'Publishing the AI Downstream Market and Competition Policy Report,' which is interpreted as an administrative move to solidify the efficiency of advanced fair trade data governance by linking step-by-step written survey results with regulatory processes.

However, behind the packaging of such a factual survey launch as a core achievement of digital administration lies a complacent bureaucratic convenience trying to wrap up performance with a trendy framework of regulatory oversight, while turning a blind eye to the 'capital strength gap with global big tech' and 'aggravated investment contraction due to excessive regulatory risks' that local startups actually face on-site. Just as some local governments or agencies held a few short seminars and made a show as if a perfect win-win system was established, the current project of the FTC merely emphasizes a two-stage factual survey process. It is difficult to avoid criticism that it was close to a short-term event that left substantial technology development support or tailored regulatory sandbox infrastructure supplementation for enterprises behind, while only aggravating administrative processing performance. At a time when market contraction risks are constant across the IT economy, broadcasting massive promotions as if all AI markets can be vitalized by gathering at the situation room for a few target operator roster calculations misses the mark of the competition policy authority's inherent duty.

The regulatory administration keeps completely silent regarding field-centered negative side effects, such as the specific corporate trade secret infringement reasons during the investigation process or the administrative burden rates due to unreasonable data demands after the press release. The FTC also failed to present specific post-management guidelines to encourage enterprises to concentrate on technological innovation services with confidence, except for the mere promotion of 'preemptive market analysis.' It was blinded only by the statistics of surveying 46 business operators and the title record of publishing a report within the year, missing prevention measures for risks such as failing early management settlement at the actual industrial field. The FTC must refrain from showing-off event hosting competitions and annual performance politics, and concentrate its capabilities first on robust public order and IT infrastructure supplementation, such as substantializing a 'field-linked permanent AI consultation body' where actual technology subjects and field experts can constantly inspect regulatory bottleneck degrees and market statuses to adjust improvements directly so that enterprises and citizens can actually feel it.
gyj1119@naver.com
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