The battery is now designed by prediction
the battery is now designed by prediction: catl’s energy storage revenue hit 53.26 billion yuan in the first half, up 87 percent, as ai data centers swallow the grid, and ai has moved battery research from trial and error to simulation, cutting material development from years to months.
the stored electron is the new bottleneck.
Context
ESS News reported on Jul 27, 2026 that CATL's first-half energy storage revenue rose 87.5 percent, and Energy-Storage.news gives 87.54 percent, on total operating revenue of 276.917 billion yuan, up 54.8 percent. CATL's filing names rising electricity demand as a driver.
A University of Bayreuth and HKUST team used a multi-agent AI network in battery design in 2025.
The roughly 87 percent storage revenue growth matches the sources. The 53.26 billion yuan figure was not seen in the sources read, so unsupported here, not refuted. The claim that AI cut material development from years to months was also not seen in the sources read, so unsupported here, not refuted.
Related work
- ESS News: CATL storage revenue jumps 88% ↗Primary report.
- Energy-Storage.news: interim reports of CATL and others ↗Results roundup.
- University of Bayreuth: accelerating the discovery of new materials with AI ↗AI battery design.
Watch next
- Find the storage revenue figure in CATL's interim report.
Sources
- ESS News, Jul 27, 2026ess-news.com
- Energy-Storage.news, Aug 28, 2026energy-storage.news
- University of Bayreuth, Jul 28, 2025uni-bayreuth.de
Provenance
The note above is reproduced unedited from the original post, first published on Threads on 3 October 2026 at 01:17 IST. Sources are the papers and datasets the note draws on.
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