Samsung forecasts record third-quarter profit as AI memory demand surges
publishers 21articles 26first reported 6 Oct, 23:02 UTCdeveloping since 7 Oct · 8 editions
Samsung Electronics forecast record third-quarter operating profit of 107.4 trillion won ($80.2 billion), nearly nine times the year-earlier level, as demand for memory chips used in artificial intelligence infrastructure boosted its semiconductor business.
The preliminary result represents a 782% annual increase and marks the first time Samsung’s quarterly operating profit has exceeded 100 trillion won. Revenue was estimated at 195 trillion won, up nearly 127% from a year earlier. Both figures fell short of analysts’ average forecasts, according to the Taipei Times.
Samsung, the world’s largest memory-chip maker, has benefited from strong demand for high-bandwidth memory used with AI accelerators, as well as flash memory and low-power chips. The company had already reported record revenue of 171.5 trillion won and operating profit of 89.5 trillion won in the second quarter.
The gains in chips contrasted with pressure on Samsung’s mobile operations. Brokerages cited by The Korea Herald estimated that the mobile and networks businesses lost between 900 billion won and 1.9 trillion won during the third quarter as rising memory costs outpaced handset price increases. Samsung has not yet released results by business division.
The company is scheduled to publish its full third-quarter financial statement on Oct. 29.
HOW THIS STORY WAS MADE
Written from 8 articles, 3 with the publisher's own text; 7 independent newsrooms once syndicated copies count as one; this version written 48 h after the record first saw the story; the editor kept it as written.
- Publishers
- 21
- Source articles
- 26
- Given to the writer
- 8, 3 with the article's own text
- Independent newsrooms
- 7
- This version written
- 48 h after the record first saw the story
- Second model (editor)
- kept as written
- Publication gate
- passed
- Human review
- none
WHAT THE EDITOR DID
The second model checked the writer's draft against the same sources and published it as written.
Written by a language model from the sources above, then checked by a second model that may only cut, attribute or correct. How it works →