H.H. Sheikh Tahnoon bin Zayed Al Nahyan, Deputy Ruler of Abu Dhabi and Chairman of MGX, chaired the company’s second board meeting of 2026, where members reviewed new investments and the firm’s expanding portfolio across the artificial intelligence technology stack.
During the meeting, the board assessed MGX’s financial and portfolio performance, including its participation as co-lead investor in OpenAI’s latest US$122 billion funding round.
The investment marks MGX’s fifth follow-on investment in OpenAI and reflects the company’s continued confidence in OpenAI’s long-term growth and role in shaping the future of AI technologies.
The board also reviewed MGX’s participation in Isomorphic Labs’s US$2.1 billion Series B funding round, representing MGX’s first major move into AI-enabled drug discovery.
Founded with roots in Alphabet and DeepMind, Isomorphic Labs focuses on transforming drug discovery using artificial intelligence to accelerate biomedical breakthroughs.
MGX said the investments align with its strategy of backing high-impact AI platforms aimed at improving human health, productivity, and long-term economic value creation.
On the infrastructure front, the board reviewed the rapid expansion of contracted capacity by MGX portfolio companies, which is expected to exceed 8 gigawatts by the end of 2026. The company said this would position MGX among the leading global enablers of AI infrastructure growth.
Ahmed Yahia Al Idrissi, Chief Executive Officer and Managing Director of MGX, said the company continues to invest across a broadening range of the AI economy.
“MGX continues to grow and invest with conviction across a widening spectrum of the AI economy, from leading frontier models and platforms to the infrastructure required to scale them globally,” he said.
“As AI advances across sectors, from scientific discovery to productivity and economic growth, we remain focused on adding long-term value to the global AI ecosystem by backing the platforms, partnerships, and innovation that can help enable a better future for all.”
With inputs from WAM
