JPMorgan teases 30% latency cut

- JPMorgan teased an internal AI trading platform it claims reduces transaction latency by roughly 30% for institutional flows. - Social posts framed the lift as a material operational edge, pointing to substantial backend and algorithmic optimisation in execution stacks. - The claim surfaced on social channels amid broader HFT arms‑race discussions and may indicate peer banks are embedding AI into execution pipelines. (x.com)