Elice sinks 32 percent in Kosdaq debut amid rising investor AI skepticism

From pre-IPO darling to first-day flop: Elice sinks 32 percent in Kosdaq debut

The AI cloud provider hit its daily trading limit Wednesday after investors questioned its valuation, signaling global cynicism toward data infrastructure. 

Kim Jae-won, the CEO of tech company Elice, speaks on April 15.

Once one of the hottest IPO prospects in Korea’s tech startup scene, Elice, stumbled badly out of the gate on its first day of trading on Kosdaq on Tuesday.

Elice shares plunged 32.04 percent to close at 61,500 won ($46) after debuting at an offering price of 90,500 won. The company is a neocloud provider that uses its own GPUs to offer public agencies and private companies the cloud computing capacity needed to train and run AI models.

After its disappointing first day, the shares opened at 69,500 won on Wednesday market open. It then shot up to reach its daily price limit at 79,900 won after approximately 10 minutes, where it stayed through the close of trading. 

Before its listing, Elice was considered one of the most anticipated IPOs of the second half of the year.

The company set its offering price at 90,500 won after bookbuilding with institutional investors late last month, which valued the company at more than 1 trillion won.

That was in theory. But in reality, its shares sank almost immediately after trading began.

Industry sources pointed to growing skepticism over the prospects of AI infrastructure companies in global markets, fueled in part by recent concerns surrounding CoreWeave.

CoreWeave is a U.S.-based neocloud company that provides computing capacity to AI model developers such as Anthropic and OpenAI using GPUs purchased from Nvidia. CoreWeave has financed most of its GPU purchases and data center construction through debt.

Concerns over such financing models have intensified as CoreWeave’s corporate bond yields have surged — and in doing so, tanked its shares by more than 25 percent.

The CoreWeave logo is seen in this illustration created on July 20.

The broader debate over an AI infrastructure investment bubble has also added pressure to the market.

Microsoft abruptly canceled an agreement with UK-based neocloud company Nscale on Monday to build data centers. In the same vein, Australian data center operator Firmus, which had sought a valuation of 44 billion Australian dollars ($30.8 billion), scrapped its IPO plans on Oct. 9.

Critics have also increasingly questioned whether the circular financing that has been taking place among Nvidia, Big Tech companies and AI startups has reached its limits: Big Tech companies pour enormous sums into AI startups, which then use that money to buy data capacity and computing resources from the same companies, Kristalina Georgieva, managing director of the International Monetary Fund (IMF), wrote in an article on the IMF website on Thursday.

Georgieva warned that the cycle can distort the picture of actual demand.

“The risk is that expectations may run rapidly ahead of productivity gains, setting the stage for near-term disappointment,” Georgieva wrote. 

Questions have also emerged over whether Elice itself was valued too aggressively.

The company had 97.4 billion won in total capital in the first half of this year, with short-term borrowings of 35.5 billion won. It posted 34.4 billion won in revenue and 10.3 billion won in operating profit over the same period.

(서울=뉴스1) = 20일 오전 서울 영등포구 한국거래소에서 열린 엘리스그룹 코스닥시장 상장기념식에서 상장기념패 전달 후 박종식 한국IR협의회 부회장(왼쪽부터), 안승근 코스닥협회 부회장, 민경욱 한국거래소 코스닥시장본부장, 김재원 엘리스그룹 대표이사, 김미섭 미래에셋증권 대표이사, 이충훈 삼성증권 부사장이 기념촬영을 하고 있다. (한국거래소 제공. 재판매 및 DB 금지) 2026.10.20/뉴스1

Executives celebrate tech company Elice’s IPO debut in the Korea Exchange building in Yeongdeungpo District, western Seoul, on Oct. 20.

“There is criticism that institutional investors’ expectations were excessive,” an executive at an IT startup said. “[The stock] is likely to go through an adjustment for the time being.”

Still, industry watchers are focusing on what happens after the near-term correction.

“The market may temporarily lose momentum because of concerns about an AI bubble,” Prof. Lee Jae-sung from the AI department at Chung-Ang University said.

But Lee cautioned against writing off AI infrastructure demand too quickly.

“When the ‘DeepSeek shock’ hit, everyone said semiconductor demand would decline, but that did not happen,” Lee said. “Demand for AI training and inference could continue to grow across a range of fields, including physical AI, so we need to wait and see.”

BY SUNG JI-WON [[email protected]]

This article was originally written in Korean and translated by a bilingual reporter with the help of generative AI tools. It was then edited by a native English-speaking editor. All AI-assisted translations are reviewed and refined by our newsroom.



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