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Ana De Armas To Star As Fitness Influencer In J Blakeson’s AGC Studio-Backed Psychological Thriller ‘Sweat’ Based On Polish Cannes-Selected Hit
Ana de Armas stars as a fitness influencer whose world unravels in a psychological thriller exploring fame's dark side, based on a Cannes-selected Polish film.
- On March 30, 2026, Ana de Armas will star as Emma Kent, with AGC Studios financing, co-producing, and production starting in Los Angeles and the U.K.
- J Blakeson will direct the English-language adaptation of Magnus von Horn's Polish film, selected for the 2020 Cannes Film Festival and produced by Lava Films.
- Emma's curated social-media life unravels after an encounter with Kat Highbrook goes wrong, forcing Emma Kent into a dangerous arrangement with Trent, an obsessive fan.
- AGC will kick off sales at Berlin's European Film Market next month, with AGC, WME Independent and CAA Media Finance co-repping U.S. rights; producers include Guy Stodel, Crimple Beck and Ford.
- With Ana de Armas attached, Sweat serves as a high-profile vehicle for the Oscar-nominated actor, while AGC Studios will finance, co-produce, and pursue broad distribution ambitions amid themes of influencer culture.
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Hispano-Cuban actress Ana de Armas will lead the cast of Sweat, a film drama in which she will bring to life a fitness influencer who goes through a limit in his quest for fame, according to The Hollywood Repoter, on Wednesday, January 28.
Hispano-Cuban actress Ana de Armas will star in 'Sweat', a drama in which she will play an ambitious fitness influencer.
Ana De Armas To Star As Fitness Influencer In J Blakeson’s AGC Studio-Backed Psychological Thriller ‘Sweat’ Based On Polish Cannes-Selected Hit
Ana De Armas To Star As Fitness Influencer In J Blakeson's AGC Studio-Backed Psychological Thriller 'Sweat' Based On Polish Cannes-Selected Hit
·Los Angeles, United States
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The Cuban will star in the drama “Sweat”, where it will bring to life an influencer of the world of well-being that faces the risks of digital fame.
Coverage Details
Total News Sources13
Leaning Left2Leaning Right1Center2Last UpdatedBias Distribution40% Left, 40% Center
Bias Distribution
- 40% of the sources lean Left, 40% of the sources are Center
40% Center
L 40%
C 40%
R 20%
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