At CES 2026, LG introduced its new washer-dryer combo, reducing laundry time to 90 minutes thanks to advanced technology. This model aims to address long-standing issues with previous all-in-one machines.
LG's washer-dryer cuts laundry time to 90 min
Features ventless design for flexible placement
AI adjusts water and drying based on load
Machine gentler on fabrics than previous models
Pricing expected around $3,000
Launch set for early 2026
This news is about LG’s latest washer-dryer combo, unveiled at CES 2026. The machine performs a full wash and dry cycle in just 90 minutes, tackling the long wait times traditionally associated with all-in-one units.
Quick Cycle Time Revolutionizes Laundry
Imagine getting your laundry done in 90 minutes. That’s what LG promises with its new washer-dryer combo, leaving the era of endless laundry cycles behind. The previous model often took more than two hours; now, it competes directly with separate machines. This means you can reclaim floor space in your laundry room without sacrificing efficiency.
Advanced Features for a Modern Laundry Experience
The new machine integrates AI technology that assesses load size and adjusts water and drying time accordingly. It even has smart dispensers for detergent and fabric softener, ensuring you use the right amount every time. The ventless design allows easy placement anywhere with a water connection, removing the constraints of traditional setups.
AI adjusts for load size
Smart detergent dispensers included
Fully digital control via mobile app
Cost and Availability of the New Model
While specific pricing hasn’t been finalized, early reports suggest it will retail for around $3,000, a step up from the previous model which was already over $2,000. It’s expected to hit stores early in 2026, appealing to those willing to invest in convenience.
Luca Fischer is a senior technology journalist with more than twelve years of professional experience specializing in artificial intelligence, cybersecurity, and consumer electronics. L. Fischer earned his M.S. in Computer Science from Columbia University in 2011, where he developed a strong foundation in data science and network security before transitioning into tech media.
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