ENTERO THERAPEUTICS (ENTO) Enters $100 Billion+ AI and Data Center Market with Acquisition of GRID AI

Transaction positions ENTO in the high-growth AI energy-infrastructure market, amid a surge of multi-billion-dollar hyperscaler spending on data centers, and rapid growth in behind-the-meter energy storage solutions

BOCA RATON, FL / ACCESS Newswire / October 1, 2025 / Entero Therapeutics, Inc. (NASDAQ:ENTO) ("ENTO" or the "Company") today announced it has acquired 100% of GRID AI Corp ("GRID AI"), a grid-edge, AI-driven software and device platform that enables utilities, retailers, and large power users to dynamically manage load and distributed energy resources ("DERs").

Over $50 million has been invested since 2019 to commercialize this revolutionary autonomous platform delivering Dynamic Load Shaping (DLS) and an Aggregation Management Platform (AMP) that orchestrate millions of behind-the-meter assets (including EV chargers, batteries, HVAC, water heaters and rooftop solar) using AI, machine learning and edge analytics to balance supply and demand in real time, creating a more reliable, resilient, and transactive grid. www.grid-ai.com

"This transaction is transformative for ENTO," said Jason Sawyer, Interim Chief Executive Officer of ENTO. "By combining GRID AI's grid-edge intelligence with our public-company platform, we intend to scale solutions that help utilities and hyperscalers meet unprecedented AI-driven power demand while improving grid reliability for consumers and enterprises alike."

Hyperscalers are redefining power demand; AI build-out fuels multi-trillion-dollar capex

AI workloads are driving a step-function increase in electricity consumption from data centers. Goldman Sachs Research projects global data-center power demand to rise ~50% by 2027 (to ~92 GW) and as much as 165% by 2030 versus 2023, as AI inference and training proliferate. At the same time, hyperscaler capex is surging: public estimates indicate hundreds of billions annually, with some analyses pointing to cumulative AI-related infrastructure spending surpassing the multi-trillion-dollar mark in the medium term.

Recent marquee commitments underscore the scale: for example, a $14.2 billion multi-year AI infrastructure agreement between CoreWeave and Meta highlights sustained hyperscaler investment to secure GPU capacity and power-dense facilities. Separate sell-side forecasts point to AI infrastructure investments exceeding $2.8 trillion by 2029, reflecting escalating capacity and power needs from Microsoft, Amazon, Alphabet and others.